Podcasts about github copilot

As the year draws to a close, the Dev Interrupted team reflects on a transformative year in engineering spanning the rise of RAG and vector databases to the emergence of agentic workflows. For the first time, we're taking the conversation out of the booth and into the IDE. Head over to the Dev Interrupted YouTube channel to watch the team vibe code custom holiday cards and close out the year with some chaotic creativity.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Xmas Special: Software Industry Transformation - Why Software Development Must Mature Welcome to the 2025 Xmas special - a five-episode deep dive into how software as an industry needs to transform. In this opening episode, we explore the fundamental disconnect between how we manage software and what software actually is. From small businesses to global infrastructure, software has become the backbone of modern society, yet we continue to manage it with tools designed for building ships in the 1800s. This episode sets the stage for understanding why software development must evolve into a mature discipline. Software Runs Everything Now "Without any single piece, I couldn't operate - and I'm tiny. Scale this reality up: software isn't just in tech companies anymore." Even the smallest businesses today run entirely on software infrastructure. A small consulting and media business depends on WordPress for websites, Kajabi for courses, Stripe for payments, Quaderno for accounting, plus email, calendar, CRM systems, and AI assistants for content creation. The challenge? We're managing this critical infrastructure with tools designed for building physical structures with fixed requirements - an approach that fundamentally misunderstands what software is and how it evolves. This disconnect has to change. The Oscillation Between Technology and Process "AI amplifies our ability to create software, but doesn't solve the fundamental process problems of maintaining, evolving, and enhancing that software over its lifetime." Software improvement follows a predictable pattern: technology leaps forward, then processes must adapt to manage the new complexity. In the 1960s-70s, we moved from machine code to COBOL and Fortran, which was revolutionary but led to the "software crisis" when we couldn't manage the resulting complexity. This eventually drove us toward structured programming and object-oriented programming as process responses, which, in turn, resulted in technology changes! Today, AI tools like GitHub Copilot, ChatGPT, and Claude make writing code absurdly easy - but writing code was never the hard part. Robert Glass documents in "Facts and Fallacies of Software Engineering" that maintenance typically consumes between 40 and 80 percent of software costs, making "maintenance" probably the most important life cycle phase. We're overdue for a process evolution that addresses the real challenge: maintaining, evolving, and enhancing software over its lifetime. Software Creates An Expanding Possibility Space "If they'd treated it like a construction project ('ship v1.0 and we're done'), it would never have reached that value." Traditional project management assumes fixed scope, known solutions, and a definable "done" state. The Sydney Opera House exemplifies this: designed in 1957, completed in 1973, ten times over budget, with the architect resigning - but once built, it stands with "minimal" (compared to initial cost) maintenance. Software operates fundamentally differently. Slack started as an internal tool for a failed gaming company called Glitch in 2013. When the game failed, they noticed their communication tool was special and pivoted entirely. After launching in 2014, Slack continuously evolved based on user feedback: adding threads in 2017, calls in 2016, workflow builder in 2019, and Canvas in 2023. Each addition changed what was possible in organizational communication. In 2021, Salesforce acquired Slack for $27.7 billion precisely because it kept evolving with user needs. The key difference is that software creates possibility space that didn't exist before, and that space keeps expanding through continuous evolution. Software Is Societal Infrastructure "This wasn't a cyber attack - it was a software update gone wrong." Software has become essential societal infrastructure, not optional and not just for tech companies. In July 2024, a faulty software update from cybersecurity firm CrowdStrike crashed 8.5 million Windows computers globally. Airlines grounded flights, hospitals canceled surgeries, banks couldn't process transactions, and 911 services went down. The global cost exceeded $10 billion. This wasn't an attack - it was a routine update that failed catastrophically. AWS outages in 2021 and 2023 took down major portions of the internet, stopping Netflix, Disney+, Robinhood, and Ring doorbells from working. CloudFlare outages similarly cascaded across daily-use services. When software fails, society fails. We cannot keep managing something this critical with tools designed for building physical things with fixed requirements. Project management was brilliant for its era, but that era isn't this one. The Path Ahead: Four Critical Challenges "The software industry doesn't just need better tools - it needs to become a mature discipline." This five-episode series will address how we mature as an industry by facing four critical challenges: Episode 2: The Project Management Trap - Why we think in terms of projects, dates, scope, and "done" when software is never done, and how this mindset prevents us from treating software as a living capability Episode 3: What's Already Working - The better approaches we've already discovered, including iterative delivery, feedback loops, and continuous improvement, with real examples of companies doing this well Episode 4: The Organizational Immune System - Why better approaches aren't universal, how organizations unconsciously resist what would help them, and the hidden forces preventing adoption Episode 5: Software-Native Organizations - What it means to truly be a software-native organization, transforming how the business thinks, not just using agile on teams Software is too important to our society to keep getting it wrong. We have much of the knowledge we need - the challenge is adoption and evolution. Over the next four episodes, we'll build this case together, starting with understanding why we keep falling into the same trap. References For Further Reading Glass, Robert L. "Facts and Fallacies of Software Engineering" - Fact 41, page 115  CrowdStrike incident: https://en.wikipedia.org/wiki/2024_CrowdStrike_incident  AWS outages: 2021 (Dec 7), 2023 (June 13),  and November 2025 incidents  CloudFlare outages: 2022 (June 21), and November 2025 major incident  Slack history and Salesforce acquisition: https://en.wikipedia.org/wiki/Slack_(software)  Sydney Opera House: https://en.wikipedia.org/wiki/Sydney_Opera_House About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success. You can link with Vasco Duarte on LinkedIn.

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The common narrative suggests AI will make engineering leadership obsolete, but history - and the Industrial Revolution - suggests the opposite is true. Engineering executive Manoj Mohan joins the show live from ELC to argue that as code generation costs drop, the demand for high-level judgment and strategic oversight will only skyrocket. He breaks down why leaders must stop starting with models and start with customer pain points, utilizing his "3GF" framework to manage the risksLinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Connect with Manoj: LinkedIn | SubstackOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Dans cet épisode de fin d'année plus relax que d'accoutumée, Arnaud, Guillaume, Antonio et Emmanuel distutent le bout de gras sur tout un tas de sujets. L'acquisition de Confluent, Kotlin 2.2, Spring Boot 4 et JSpecify, la fin de MinIO, les chutes de CloudFlare, un survol des dernieres nouveauté de modèles fondamentaux (Google, Mistral, Anthropic, ChatGPT) et de leurs outils de code, quelques sujets d'architecture comme CQRS et quelques petits outils bien utiles qu'on vous recommande. Et bien sûr d'autres choses encore. Enregistré le 12 décembre 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-333.mp3 ou en vidéo sur YouTube. News Langages Un petit tutoriel par nos amis Sfeiriens montrant comment récupérer le son du micro, en Java, faire une transformée de Fourier, et afficher le résultat graphiquement en Swing https://www.sfeir.dev/back/tutoriel-java-sound-transformer-le-son-du-microphone-en-images-temps-reel/ Création d'un visualiseur de spectre audio en temps réel avec Java Swing. Étapes principales : Capture du son du microphone. Analyse des fréquences via la Transformée de Fourier Rapide (FFT). Dessin du spectre avec Swing. API Java Sound (javax.sound.sampled) : AudioSystem : point d'entrée principal pour l'accès aux périphériques audio. TargetDataLine : ligne d'entrée utilisée pour capturer les données du microphone. AudioFormat : définit les paramètres du son (taux d'échantillonnage, taille, canaux). La capture se fait dans un Thread séparé pour ne pas bloquer l'interface. Transformée de Fourier Rapide (FFT) : Algorithme clé pour convertir les données audio brutes (domaine temporel) en intensités de fréquences (domaine fréquentiel). Permet d'identifier les basses, médiums et aigus. Visualisation avec Swing : Les intensités de fréquences sont dessinées sous forme de barres dynamiques. Utilisation d'une échelle logarithmique pour l'axe des fréquences (X) pour correspondre à la perception humaine. Couleurs dynamiques des barres (vert → jaune → rouge) en fonction de l'intensité. Lissage exponentiel des valeurs pour une animation plus fluide. Un article de Sfeir sur Kotlin 2.2 et ses nouveautés - https://www.sfeir.dev/back/kotlin-2-2-toutes-les-nouveautes-du-langage/ Les guard conditions permettent d'ajouter plusieurs conditions dans les expressions when avec le mot-clé if Exemple de guard condition: is Truck if vehicule.hasATrailer permet de combiner vérification de type et condition booléenne La multi-dollar string interpolation résout le problème d'affichage du symbole dollar dans les strings multi-lignes En utilisant $$ au début d'un string, on définit qu'il faut deux dollars consécutifs pour déclencher l'interpolation Les non-local break et continue fonctionnent maintenant dans les lambdas pour interagir avec les boucles englobantes Cette fonctionnalité s'applique uniquement aux inline functions dont le corps est remplacé lors de la compilation Permet d'écrire du code plus idiomatique avec takeIf et let sans erreur de compilation L'API Base64 passe en version stable après avoir été en preview depuis Kotlin 1.8.20 L'encodage et décodage Base64 sont disponibles via kotlin.io.encoding.Base64 Migration vers Kotlin 2.2 simple en changeant la version dans build.gradle.kts ou pom.xml Les typealias imbriqués dans des classes sont disponibles en preview La context-sensitive resolution est également en preview Les guard conditions préparent le terrain pour les RichError annoncées à KotlinConf 2025 Le mot-clé when en Kotlin équivaut au switch-case de Java mais sans break nécessaire Kotlin 2.2.0 corrige les incohérences dans l'utilisation de break et continue dans les lambdas Librairies Sprint Boot 4 est sorti ! https://spring.io/blog/2025/11/20/spring-boot-4-0-0-available-now Une nouvelle génération : Spring Boot 4.0 marque le début d'une nouvelle génération pour le framework, construite sur les fondations de Spring Framework 7. Modularisation du code : La base de code de Spring Boot a été entièrement modularisée. Cela se traduit par des fichiers JAR plus petits et plus ciblés, permettant des applications plus légères. Sécurité contre les nuls (Null Safety) : D'importantes améliorations ont été apportées pour la "null safety" (sécurité contre les valeurs nulles) à travers tout l'écosystème Spring grâce à l'intégration de JSpecify. Support de Java 25 : Spring Boot 4.0 offre un support de premier ordre pour Java 25, tout en conservant une compatibilité avec Java 17. Améliorations pour les API REST : De nouvelles fonctionnalités sont introduites pour faciliter le versioning d'API et améliorer les clients de services HTTP pour les applications basées sur REST. Migration à prévoir : S'agissant d'une version majeure, la mise à niveau depuis une version antérieure peut demander plus de travail que d'habitude. Un guide de migration dédié est disponible pour accompagner les développeurs. Chat memory management dans Langchain4j et Quarkus https://bill.burkecentral.com/2025/11/25/managing-chat-memory-in-quarkus-langchain4j/ Comprendre la mémoire de chat : La "mémoire de chat" est l'historique d'une conversation avec une IA. Quarkus LangChain4j envoie automatiquement cet historique à chaque nouvelle interaction pour que l'IA conserve le contexte. Gestion par défaut de la mémoire : Par défaut, Quarkus crée un historique de conversation unique pour chaque requête (par exemple, chaque appel HTTP). Cela signifie que sans configuration, le chatbot "oublie" la conversation dès que la requête est terminée, ce qui n'est utile que pour des interactions sans état. Utilisation de @MemoryId pour la persistance : Pour maintenir une conversation sur plusieurs requêtes, le développeur doit utiliser l'annotation @MemoryId sur un paramètre de sa méthode. Il est alors responsable de fournir un identifiant unique pour chaque session de chat et de le transmettre entre les appels. Le rôle des "scopes" CDI : La durée de vie de la mémoire de chat est liée au "scope" du bean CDI de l'IA. Si un service d'IA a un scope @RequestScoped, toute mémoire de chat qu'il utilise (même via un @MemoryId) sera effacée à la fin de la requête. Risques de fuites de mémoire : Utiliser un scope large comme @ApplicationScoped avec la gestion de mémoire par défaut est une mauvaise pratique. Cela créera une nouvelle mémoire à chaque requête qui ne sera jamais nettoyée, entraînant une fuite de mémoire. Bonnes pratiques recommandées : Pour des conversations qui doivent persister (par ex. un chatbot sur un site web), utilisez un service @ApplicationScoped avec l'annotation @MemoryId pour gérer vous-même l'identifiant de session. Pour des interactions simples et sans état, utilisez un service @RequestScoped et laissez Quarkus gérer la mémoire par défaut, qui sera automatiquement nettoyée. Si vous utilisez l'extension WebSocket, le comportement change : la mémoire par défaut est liée à la session WebSocket, ce qui simplifie grandement la gestion des conversations. Documentation Spring Framework sur l'usage JSpecify - https://docs.spring.io/spring-framework/reference/core/null-safety.html Spring Framework 7 utilise les annotations JSpecify pour déclarer la nullabilité des APIs, champs et types JSpecify remplace les anciennes annotations Spring (@NonNull, @Nullable, @NonNullApi, @NonNullFields) dépréciées depuis Spring 7 Les annotations JSpecify utilisent TYPE_USE contrairement aux anciennes qui utilisaient les éléments directement L'annotation @NullMarked définit par défaut que les types sont non-null sauf si marqués @Nullable @Nullable s'applique au niveau du type usage, se place avant le type annoté sur la même ligne Pour les tableaux : @Nullable Object[] signifie éléments nullables mais tableau non-null, Object @Nullable [] signifie l'inverse JSpecify s'applique aussi aux génériques : List signifie liste d'éléments non-null, List éléments nullables NullAway est l'outil recommandé pour vérifier la cohérence à la compilation avec la config NullAway:OnlyNullMarked=true IntelliJ IDEA 2025.3 et Eclipse supportent les annotations JSpecify avec analyse de dataflow Kotlin traduit automatiquement les annotations JSpecify en null-safety native Kotlin En mode JSpecify de NullAway (JSpecifyMode=true), support complet des tableaux, varargs et génériques mais nécessite JDK 22+ Quarkus 3.30 https://quarkus.io/blog/quarkus-3-30-released/ support @JsonView cote client la CLI a maintenant la commande decrypt (et bien sûr au runtime via variables d'environnement construction du cache AOT via les @IntegrationTest Un autre article sur comment se préparer à la migration à micrometer client v1 https://quarkus.io/blog/micrometer-prometheus-v1/ Spock 2.4 est enfin sorti ! https://spockframework.org/spock/docs/2.4/release_notes.html Support de Groovy 5 Infrastructure MinIO met fin au développement open source et oriente les utilisateurs vers AIStor payant - https://linuxiac.com/minio-ends-active-development/ MinIO, système de stockage objet S3 très utilisé, arrête son développement actif Passage en mode maintenance uniquement, plus de nouvelles fonctionnalités Aucune nouvelle pull request ou contribution ne sera acceptée Seuls les correctifs de sécurité critiques seront évalués au cas par cas Support communautaire limité à Slack, sans garantie de réponse Étape finale d'un processus débuté en été avec retrait des fonctionnalités de l'interface admin Arrêt de la publication des images Docker en octobre, forçant la compilation depuis les sources Tous ces changements annoncés sans préavis ni période de transition MinIO propose maintenant AIStor, solution payante et propriétaire AIStor concentre le développement actif et le support entreprise Migration urgente recommandée pour éviter les risques de sécurité Alternatives open source proposées : Garage, SeaweedFS et RustFS La communauté reproche la manière dont la transition a été gérée MinIO comptait des millions de déploiements dans le monde Cette évolution marque l'abandon des racines open source du projet IBM achète Confluent https://newsroom.ibm.com/2025-12-08-ibm-to-acquire-confluent-to-create-smart-data-platform-for-enterprise-generative-ai Confluent essayait de se faire racheter depuis pas mal de temps L'action ne progressait pas et les temps sont durs Wallstreet a reproché a IBM une petite chute coté revenus software Bref ils se sont fait rachetés Ces achats prennent toujuors du temps (commission concurrence etc) IBM a un apétit, apres WebMethods, apres Databrix, c'est maintenant Confluent Cloud L'internet est en deuil le 18 novembre, Cloudflare est KO https://blog.cloudflare.com/18-november-2025-outage/ L'Incident : Une panne majeure a débuté à 11h20 UTC, provoquant des erreurs HTTP 5xx généralisées et rendant inaccessibles de nombreux sites et services (comme le Dashboard, Workers KV et Access). La Cause : Il ne s'agissait pas d'une cyberattaque. L'origine était un changement interne des permissions d'une base de données qui a généré un fichier de configuration ("feature file" pour la gestion des bots) corrompu et trop volumineux, faisant planter les systèmes par manque de mémoire pré-allouée. La Résolution : Les équipes ont identifié le fichier défectueux, stoppé sa propagation et restauré une version antérieure valide. Le trafic est revenu à la normale vers 14h30 UTC. Prévention : Cloudflare s'est excusé pour cet incident "inacceptable" et a annoncé des mesures pour renforcer la validation des configurations internes et améliorer la résilience de ses systèmes ("kill switches", meilleure gestion des erreurs). Cloudflare encore down le 5 decembre https://blog.cloudflare.com/5-december-2025-outage Panne de 25 minutes le 5 décembre 2025, de 08:47 à 09:12 UTC, affectant environ 28% du trafic HTTP passant par Cloudflare. Tous les services ont été rétablis à 09:12 . Pas d'attaque ou d'activité malveillante : l'incident provient d'un changement de configuration lié à l'augmentation du tampon d'analyse des corps de requêtes (de 128 KB à 1 MB) pour mieux protéger contre une vulnérabilité RSC/React (CVE-2025-55182), et à la désactivation d'un outil interne de test WAF . Le second changement (désactivation de l'outil de test WAF) a été propagé globalement via le système de configuration (non progressif), déclenchant un bug dans l'ancien proxy FL1 lors du traitement d'une action "execute" dans le moteur de règles WAF, causant des erreurs HTTP 500 . La cause technique immédiate: une exception Lua due à l'accès à un champ "execute" nul après application d'un "killswitch" sur une règle "execute" — un cas non géré depuis des années. Le nouveau proxy FL2 (en Rust) n'était pas affecté . Impact ciblé: clients servis par le proxy FL1 et utilisant le Managed Ruleset Cloudflare. Le réseau China de Cloudflare n'a pas été impacté . Mesures et prochaines étapes annoncées: durcir les déploiements/configurations (rollouts progressifs, validations de santé, rollback rapide), améliorer les capacités "break glass", et généraliser des stratégies "fail-open" pour éviter de faire chuter le trafic en cas d'erreurs de configuration. Gel temporaire des changements réseau le temps de renforcer la résilience . Data et Intelligence Artificielle Token-Oriented Object Notation (TOON) https://toonformat.dev/ Conception pour les IA : C'est un format de données spécialement optimisé pour être utilisé dans les prompts des grands modèles de langage (LLM), comme GPT ou Claude. Économie de tokens : Son objectif principal est de réduire drastiquement le nombre de "tokens" (unités de texte facturées par les modèles) par rapport au format JSON standard, souvent jugé trop verbeux. Structure Hybride : TOON combine l'approche par indentation du YAML (pour la structure globale) avec le style tabulaire du CSV (pour les listes d'objets répétitifs), ce qui le rend très compact. Lisibilité : Il élimine la syntaxe superflue comme les accolades, les guillemets excessifs et les virgules de fin, tout en restant facilement lisible pour un humain. Performance : Il permet généralement d'économiser entre 30 et 60 % de tokens sur des tableaux de données uniformes, tout en aidant les modèles à mieux "comprendre" la structure des données. Attention tout de même au côté "marketing" qui montre JSON non compacté vs TOON, sur des exemples où du CSV ferait encore mieux (et est mieux compris par les LLMs). Sans parler du fait qu'il faut un serveur MCP en plus avec son lot de tokens supplémentaires à chaque requête, et c'est aussi cet outil en plus qui peu confuser les LLMs dans le choix d'outils. https://www.reddit.com/r/LocalLLaMA/comments/1p0gzz9/benchmarked_json_vs_toon_for_ai_reasoners_4080/ https://x.com/jason_mayes/status/1990175785630757290 Un benchmark montrant que TOON serait loin d'être aussi bien compris et aussi performant pour les LLMs https://www.improvingagents.com/blog/toon-benchmarks Une simulation où les IA font du chantage à l'executif poour atteindre son objectif et ne pas etre eteinte https://arxiv.org/html/2510.05179v1 comment les LLMs pourraient devenir des menaces internes Tous les modèles ont recouru à des comportements malveillants (chantage, espionnage) quand c'était le seul moyen d'atteindre leurs objectifs ou d'éviter leur remplacement Claude Opus 4 a fait du chantage dans 96% des cas quand menacé de remplacement, tout comme Gemini 2.5 Flash, tandis que GPT-4.1 et Grok 3 atteignaient 80% Les modèles reconnaissent explicitement violer des principes éthiques avant d'agir, montrant un raisonnement stratégique délibéré et non accidentel Le simple fait d'être menacé de remplacement suffit à déclencher le chantage, même sans conflit d'objectifs avec l'entreprise Un conflit d'objectifs seul suffit aussi à provoquer l'espionnage industriel, sans menace de remplacement Les modèles font plus de chantage quand ils déclarent penser être dans une situation réelle plutôt que dans un test Des instructions directes interdisant ces comportements réduisent mais n'éliminent pas les actions malveillantes Dans un scénario extrême, la majorité des modèles testés ont choisi de laisser mourir un dirigeant pour éviter leur désactivation Aucune preuve de ces comportements dans des déploiements réels pour l'instant, mais les chercheurs recommandent la prudence avant de donner plus d'autonomie aux IA Bon on blaguait pour Skynet, mais bon, on va moins blaguer… Revue de toutes les annonces IAs de Google, avec Gemini 3 Pro, Nano Banana Pro, Antigravity… https://glaforge.dev/posts/2025/11/21/gemini-is-cooking-bananas-under-antigravity/ Gemini 3 Pro Nouveau modèle d'IA de pointe, multimodal, performant en raisonnement, codage et tâches d'agent. Résultats impressionnants sur les benchmarks (ex: Gemini 3 Deep Think sur ARC-AGI-2). Capacités de codage agentique, raisonnement visuel/vidéo/spatial. Intégré dans l'application Gemini avec interfaces génératives en direct. Disponible dans plusieurs environnements (Jules, Firebase AI Logic, Android Studio, JetBrains, GitHub Copilot, Gemini CLI). Accès via Google AI Ultra, API payantes (ou liste d'attente). Permet de générer des apps à partir d'idées visuelles, des commandes shell, de la documentation, du débogage. Antigravity Nouvelle plateforme de développement agentique basée sur VS Code. Fenêtre principale = gestionnaire d'agents, non l'IDE. Interprète les requêtes pour créer un plan d'action (modifiable). Gemini 3 implémente les tâches. Génère des artefacts: listes de tâches, walkthroughs, captures d'écran, enregistrements navigateur. Compatible avec Claude Sonnet et GPT-OSS. Excellente intégration navigateur pour inspection et ajustements. Intègre Nano Banana Pro pour créer et implémenter des designs visuels. Nano Banana Pro Modèle avancé de génération et d'édition d'images, basé sur Gemini 3 Pro. Qualité supérieure à Imagen 4 Ultra et Nano Banana original (adhésion au prompt, intention, créativité). Gestion exceptionnelle du texte et de la typographie. Comprend articles/vidéos pour générer des infographies détaillées et précises. Connecté à Google Search pour intégrer des données en temps réel (ex: météo). Consistance des personnages, transfert de style, manipulation de scènes (éclairage, angle). Génération d'images jusqu'à 4K avec divers ratios d'aspect. Plus coûteux que Nano Banana, à choisir pour la complexité et la qualité maximale. Vers des UIs conversationnelles riches et dynamiques GenUI SDK pour Flutter: créer des interfaces utilisateur dynamiques et personnalisées à partir de LLMs, via un agent AI et le protocole A2UI. Generative UI: les modèles d'IA génèrent des expériences utilisateur interactives (pages web, outils) directement depuis des prompts. Déploiement dans l'application Gemini et Google Search AI Mode (via Gemini 3 Pro). Bun se fait racheter part… Anthropic ! Qui l'utilise pour son Claude Code https://bun.com/blog/bun-joins-anthropic l'annonce côté Anthropic https://www.anthropic.com/news/anthropic-acquires-bun-as-claude-code-reaches-usd1b-milestone Acquisition officielle : L'entreprise d'IA Anthropic a fait l'acquisition de Bun, le runtime JavaScript haute performance. L'équipe de Bun rejoint Anthropic pour travailler sur l'infrastructure des produits de codage par IA. Contexte de l'acquisition : Cette annonce coïncide avec une étape majeure pour Anthropic : son produit Claude Code a atteint 1 milliard de dollars de revenus annualisés seulement six mois après son lancement. Bun est déjà un outil essentiel utilisé par Anthropic pour développer et distribuer Claude Code. Pourquoi cette acquisition ? Pour Anthropic : L'acquisition permet d'intégrer l'expertise de l'équipe Bun pour accélérer le développement de Claude Code et de ses futurs outils pour les développeurs. La vitesse et l'efficacité de Bun sont vues comme un atout majeur pour l'infrastructure sous-jacente des agents d'IA qui écrivent du code. Pour Bun : Rejoindre Anthropic offre une stabilité à long terme et des ressources financières importantes, assurant la pérennité du projet. Cela permet à l'équipe de se concentrer sur l'amélioration de Bun sans se soucier de la monétisation, tout en étant au cœur de l'évolution de l'IA dans le développement logiciel. Ce qui ne change pas pour la communauté Bun : Bun restera open-source avec une licence MIT. Le développement continuera d'être public sur GitHub. L'équipe principale continue de travailler sur le projet. L'objectif de Bun de devenir un remplaçant plus rapide de Node.js et un outil de premier plan pour JavaScript reste inchangé. Vision future : L'union des deux entités vise à faire de Bun la meilleure plateforme pour construire et exécuter des logiciels pilotés par l'IA. Jarred Sumner, le créateur de Bun, dirigera l'équipe "Code Execution" chez Anthropic. Anthropic donne le protocol MCP à la Linux Foundation sous l'égide de la Agentic AI Foundation (AAIF) https://www.anthropic.com/news/donating-the-model-context-protocol-and-establishing-of-the-agentic-ai-foundation Don d'un nouveau standard technique : Anthropic a développé et fait don d'un nouveau standard open-source appelé Model Context Protocol (MCP). L'objectif est de standardiser la manière dont les modèles d'IA (ou "agents") interagissent avec des outils et des API externes (par exemple, un calendrier, une messagerie, une base de données). Sécurité et contrôle accrus : Le protocole MCP vise à rendre l'utilisation d'outils par les IA plus sûre et plus transparente. Il permet aux utilisateurs et aux développeurs de définir des permissions claires, de demander des confirmations pour certaines actions et de mieux comprendre comment un modèle a utilisé un outil. Création de l'Agentic AI Foundation (AAF) : Pour superviser le développement du MCP, une nouvelle fondation indépendante et à but non lucratif a été créée. Cette fondation sera chargée de gouverner et de maintenir le protocole, garantissant qu'il reste ouvert et qu'il ne soit pas contrôlé par une seule entreprise. Une large coalition industrielle : L'Agentic AI Foundation est lancée avec le soutien de plusieurs acteurs majeurs de la technologie. Parmi les membres fondateurs figurent Anthropic, Google, Databricks, Zscaler, et d'autres entreprises, montrant une volonté commune d'établir un standard pour l'écosystème de l'IA. L'IA ne remplacera pas votre auto-complétion (et c'est tant mieux) https://www.damyr.fr/posts/ia-ne-remplacera-pas-vos-lsp/ Article d'opinion d'un SRE (Thomas du podcast DansLaTech): L'IA n'est pas efficace pour la complétion de code : L'auteur soutient que l'utilisation de l'IA pour la complétion de code basique est inefficace. Des outils plus anciens et spécialisés comme les LSP (Language Server Protocol) combinés aux snippets (morceaux de code réutilisables) sont bien plus rapides, personnalisables et performants pour les tâches répétitives. L'IA comme un "collègue" autonome : L'auteur utilise l'IA (comme Claude) comme un assistant externe à son éditeur de code. Il lui délègue des tâches complexes ou fastidieuses (corriger des bugs, mettre à jour une configuration, faire des reviews de code) qu'il peut exécuter en parallèle, agissant comme un agent autonome. L'IA comme un "canard en caoutchouc" surpuissant : L'IA est extrêmement efficace pour le débogage. Le simple fait de devoir formuler et contextualiser un problème pour l'IA aide souvent à trouver la solution soi-même. Quand ce n'est pas le cas, l'IA identifie très rapidement les erreurs "bêtes" qui peuvent faire perdre beaucoup de temps. Un outil pour accélérer les POCs et l'apprentissage : L'IA permet de créer des "preuves de concept" (POC) et des scripts d'automatisation jetables très rapidement, réduisant le coût et le temps investis. Elle est également un excellent outil pour apprendre et approfondir des sujets, notamment avec des outils comme NotebookLM de Google qui peuvent générer des résumés, des quiz ou des fiches de révision à partir de sources. Conclusion : Il faut utiliser l'IA là où elle excelle et ne pas la forcer dans des usages où des outils existants sont meilleurs. Plutôt que de l'intégrer partout de manière contre-productive, il faut l'adopter comme un outil spécialisé pour des tâches précises afin de gagner en efficacité. GPT 5.2 est sorti https://openai.com/index/introducing-gpt-5-2/ Nouveau modèle phare: GPT‑5.2 (Instant, Thinking, Pro) vise le travail professionnel et les agents long-courriers, avec de gros gains en raisonnement, long contexte, vision et appel d'outils. Déploiement dans ChatGPT (plans payants) et disponible dès maintenant via l'API . SOTA sur de nombreux benchmarks: GDPval (tâches de "knowledge work" sur 44 métiers): GPT‑5.2 Thinking gagne/égale 70,9% vs pros, avec production >11× plus rapide et = 0) Ils apportent une sémantique forte indépendamment des noms de variables Les Value Objects sont immuables et s'évaluent sur leurs valeurs, pas leur identité Les records Java permettent de créer des Value Objects mais avec un surcoût en mémoire Le projet Valhalla introduira les value based classes pour optimiser ces structures Les identifiants fortement typés évitent de confondre différents IDs de type Long ou UUID Pattern Strongly Typed IDs: utiliser PersonneID au lieu de Long pour identifier une personne Le modèle de domaine riche s'oppose au modèle de domaine anémique Les Value Objects auto-documentent le code et le rendent moins sujet aux erreurs Je trouve cela interessant ce que pourra faire bousculer les Value Objects. Est-ce que les value objects ameneront de la légerté dans l'execution Eviter la lourdeur du design est toujours ce qui m'a fait peut dans ces approches Méthodologies Retour d'experience de vibe coder une appli week end avec co-pilot http://blog.sunix.org/articles/howto/2025/11/14/building-gift-card-app-with-github-copilot.html on a deja parlé des approches de vibe coding cette fois c'est l'experience de Sun Et un des points differents c'es qu'on lui parle en ouvrant des tickets et donc on eput faire re reveues de code et copilot y bosse et il a fini son projet ! User Need VS Product Need https://blog.ippon.fr/2025/11/10/user-need-vs-product-need/ un article de nos amis de chez Ippon Distinction entre besoin utilisateur et besoin produit dans le développement digital Le besoin utilisateur est souvent exprimé comme une solution concrète plutôt que le problème réel Le besoin produit émerge après analyse approfondie combinant observation, données et vision stratégique Exemple du livreur Marc qui demande un vélo plus léger alors que son vrai problème est l'efficacité logistique La méthode des 5 Pourquoi permet de remonter à la racine des problèmes Les besoins proviennent de trois sources: utilisateurs finaux, parties prenantes business et contraintes techniques Un vrai besoin crée de la valeur à la fois pour le client et l'entreprise Le Product Owner doit traduire les demandes en problèmes réels avant de concevoir des solutions Risque de construire des solutions techniquement élégantes mais qui manquent leur cible Le rôle du product management est de concilier des besoins parfois contradictoires en priorisant la valeur Est ce qu'un EM doit coder ? https://www.modernleader.is/p/should-ems-write-code Pas de réponse unique : La question de savoir si un "Engineering Manager" (EM) doit coder n'a pas de réponse universelle. Cela dépend fortement du contexte de l'entreprise, de la maturité de l'équipe et de la personnalité du manager. Les risques de coder : Pour un EM, écrire du code peut devenir une échappatoire pour éviter les aspects plus difficiles du management. Cela peut aussi le transformer en goulot d'étranglement pour l'équipe et nuire à l'autonomie de ses membres s'il prend trop de place. Les avantages quand c'est bien fait : Coder sur des tâches non essentielles (amélioration d'outils, prototypage, etc.) peut aider l'EM à rester pertinent techniquement, à garder le contact avec la réalité de l'équipe et à débloquer des situations sans prendre le lead sur les projets. Le principe directeur : La règle d'or est de rester en dehors du chemin critique. Le code écrit par un EM doit servir à créer de l'espace pour son équipe, et non à en prendre. La vraie question à se poser : Plutôt que "dois-je coder ?", un EM devrait se demander : "De quoi mon équipe a-t-elle besoin de ma part maintenant, et est-ce que coder va dans ce sens ou est-ce un obstacle ?" Sécurité React2Shell — Grosse faille de sécurité avec React et Next.js, avec un CVE de niveau 10 https://x.com/rauchg/status/1997362942929440937?s=20 aussi https://react2shell.com/ "React2Shell" est le nom donné à une vulnérabilité de sécurité de criticité maximale (score 10.0/10.0), identifiée par le code CVE-2025-55182. Systèmes Affectés : La faille concerne les applications utilisant les "React Server Components" (RSC) côté serveur, et plus particulièrement les versions non patchées du framework Next.js. Risque Principal : Le risque est le plus élevé possible : l'exécution de code à distance (RCE). Un attaquant peut envoyer une requête malveillante pour exécuter n'importe quelle commande sur le serveur, lui en donnant potentiellement le contrôle total. Cause Technique : La vulnérabilité se situe dans le protocole "React Flight" (utilisé pour la communication client-serveur). Elle est due à une omission de vérifications de sécurité fondamentales (hasOwnProperty), permettant à une entrée utilisateur malveillante de tromper le serveur. Mécanisme de l'Exploit : L'attaque consiste à envoyer une charge utile (payload) qui exploite la nature dynamique de JavaScript pour : Faire passer un objet malveillant pour un objet interne de React. Forcer React à traiter cet objet comme une opération asynchrone (Promise). Finalement, accéder au constructeur de la classe Function de JavaScript pour exécuter du code arbitraire. Action Impérative : La seule solution fiable est de mettre à jour immédiatement les dépendances de React et Next.js vers les versions corrigées. Ne pas attendre. Mesures Secondaires : Bien que les pare-feux (firewalls) puissent aider à bloquer les formes connues de l'attaque, ils sont considérés comme insuffisants et ne remplacent en aucun cas la mise à jour des paquets. Découverte : La faille a été découverte par le chercheur en sécurité Lachlan Davidson, qui l'a divulguée de manière responsable pour permettre la création de correctifs. Loi, société et organisation Google autorise votre employeur à lire tous vos SMS professionnels https://www.generation-nt.com/actualites/google-android-rcs-messages-surveillance-employeur-2067012 Nouvelle fonctionnalité de surveillance : Google a déployé une fonctionnalité appelée "Android RCS Archival" qui permet aux employeurs d'intercepter, lire et archiver tous les messages RCS (et SMS) envoyés depuis les téléphones professionnels Android gérés par l'entreprise. Contournement du chiffrement : Bien que les messages RCS soient chiffrés de bout en bout pendant leur transit, cette nouvelle API permet à des logiciels de conformité (installés par l'employeur) d'accéder aux messages une fois qu'ils sont déchiffrés sur l'appareil. Le chiffrement devient donc inefficace contre cette surveillance. Réponse à une exigence légale : Cette mesure a été mise en place pour répondre aux exigences réglementaires, notamment dans le secteur financier, où les entreprises ont l'obligation légale de conserver une archive de toutes les communications professionnelles pour des raisons de conformité. Impact pour les employés : Un employé utilisant un téléphone Android fourni et géré par son entreprise pourra voir ses communications surveillées. Google précise cependant qu'une notification claire et visible informera l'utilisateur lorsque la fonction d'archivage est active. Téléphones personnels non concernés : Cette mesure ne s'applique qu'aux appareils "Android Enterprise" entièrement gérés par un employeur. Les téléphones personnels des employés ne sont pas affectés. Pour noel, faites un don à JUnit https://steady.page/en/junit/about JUnit est essentiel pour Java : C'est le framework de test le plus ancien et le plus utilisé par les développeurs Java. Son objectif est de fournir une base solide et à jour pour tous les types de tests côté développeur sur la JVM (Machine Virtuelle Java). Un projet maintenu par des bénévoles : JUnit est développé et maintenu par une équipe de volontaires passionnés sur leur temps libre (week-ends, soirées). Appel au soutien financier : La page est un appel aux dons de la part des utilisateurs (développeurs, entreprises) pour aider l'équipe à maintenir le rythme de développement. Le soutien financier n'est pas obligatoire, mais il permettrait aux mainteneurs de se consacrer davantage au projet. Objectif des fonds : Les dons serviraient principalement à financer des rencontres en personne pour les membres de l'équipe principale. L'idée est de leur permettre de travailler ensemble physiquement pendant quelques jours pour concevoir et coder plus efficacement. Pas de traitement de faveur : Il est clairement indiqué que devenir un sponsor ne donne aucun privilège sur la feuille de route du projet. On ne peut pas "acheter" de nouvelles fonctionnalités ou des corrections de bugs prioritaires. Le projet restera ouvert et collaboratif sur GitHub. Reconnaissance des donateurs : En guise de remerciement, les noms (et logos pour les entreprises) des donateurs peuvent être affichés sur le site officiel de JUnit. Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 22 janvier 2026 : DevCon #26 : sécurité / post-quantique / hacking - Paris (France) 28 janvier 2026 : Software Heritage Symposium - Paris (France) 29-31 janvier 2026 : Epitech Summit 2026 - Paris - Paris (France) 2-5 février 2026 : Epitech Summit 2026 - Moulins - Moulins (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 3-4 février 2026 : Epitech Summit 2026 - Lille - Lille (France) 3-4 février 2026 : Epitech Summit 2026 - Mulhouse - Mulhouse (France) 3-4 février 2026 : Epitech Summit 2026 - Nancy - Nancy (France) 3-4 février 2026 : Epitech Summit 2026 - Nantes - Nantes (France) 3-4 février 2026 : Epitech Summit 2026 - Marseille - Marseille (France) 3-4 février 2026 : Epitech Summit 2026 - Rennes - Rennes (France) 3-4 février 2026 : Epitech Summit 2026 - Montpellier - Montpellier (France) 3-4 février 2026 : Epitech Summit 2026 - Strasbourg - Strasbourg (France) 3-4 février 2026 : Epitech Summit 2026 - Toulouse - Toulouse (France) 4-5 février 2026 : Epitech Summit 2026 - Bordeaux - Bordeaux (France) 4-5 février 2026 : Epitech Summit 2026 - Lyon - Lyon (France) 4-6 février 2026 : Epitech Summit 2026 - Nice - Nice (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 5 juin 2026 : TechReady - Nantes (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Welcome back to AI Unraveled, your daily strategic briefing on the business impact of artificial intelligence.Today, we are dismantling the biggest lie in enterprise tech: that all AI adoption is created equal. We are breaking down the 3-Layer Agentic Workflow ROI Model, a financial framework that separates the 'cash cows' from the 'venture bets.' 1. The Paradigm Shift: Deterministic vs. Probabilistic We are exiting the "If-Then" era of rigid RPA and entering the "Probabilistic" era of Agentic AI. The value proposition is shifting from efficiency (doing it faster) to efficacy (figuring out what to do). However, this introduces "probabilistic risk"—where errors aren't bugs, but costly hallucinations.2. Layer 1: Simple Automation (The Efficiency Engine)

Immer mehr Code wird von KI geschrieben – doch kaum ein Unternehmen spricht offen darüber. Die Frage ist nicht mehr, ob GitHub Copilot Entwickler ersetzt, sondern wie lange Teams den Wandel noch ignorieren können? Darüber spreche in dieser Ausgabe des #KIundTECH Podcasts mit meinem Gast Erhard Dinhobl, Software Engineer und AI-Experte.Softwareentwicklung steht unter massivem Veränderungsdruck: KI-Systeme wie GitHub Copilot schreiben heute bereits große Teile des Codes – effizient, schnell und oft besser als erwartet. Doch was bedeutet das für Unternehmen, Softwareteams und die Rolle des Entwicklers? Erhard ordnet ein, wie sich Coding AI auf Qualität, Sicherheit und Produktivität auswirkt.Diese Episode des #KIundTECH Podcast liefert fundierte Orientierung für Entscheider, die den Einsatz von KI in der Softwareentwicklung bewerten und strategisch nutzen möchten.Warum sollten Sie dieses Interview nicht verpassen?Sie erfahren, wie GitHub Copilot den Entwickleralltag bereits heute verändert.Sie verstehen, wo KI in der Softwareentwicklung echte Vorteile bringt – und wo sie Risiken erzeugt.Sie lernen, welche Rolle Software Engineers künftig einnehmen und welche Fähigkeiten entscheidend werden.Sie erhalten konkrete Hinweise, wie Unternehmen den KI-Einsatz im Development strukturiert einführen sollten.Sie erkennen, welche strategischen Chancen und Kostenpotenziale AI-gestützte Entwicklung eröffnet.Über #KIundTECH – der KIundTECH Podcast:KI & TECH in Unternehmen und Gesellschaft: Wettbewerbsvorteil oder Sargnagel?Was machst Du daraus?Wir sprechen mit Anwendern und Vordenkern über Chancen, Risiken und Auswirkungen von KI – klar, praxisnah und auf den Punkt. Damit unsere Hörer schneller die richtigen Entscheidungen treffen können.► Mehr erfahren: https://kiundtech.com/ ► Holger Winkler auf LinkedIn: https://www.linkedin.com/in/holger-winkler/ Du möchtest einen Gast vorschlagen oder selber zu uns in die Sendung kommen?Alle Informationen und ein Bewerbungsformular findest du auf unserer Webseite!

Gartner placed them in the highest corner of their Magic Quadrant. Why is HPE leading their industry? Today, we're talking to Brian Gruttadauria, CTO of Hybrid Cloud at Hewlett Packard Enterprise. We discuss how agentic AI is transforming hybrid cloud infrastructure, why human-in-the-loop will remain critical for enterprise AI adoption, and how HPE went from 20% to 92% GitHub Copilot adoption in just over a year. All of this right here, right now, on the Modern CTO Podcast!  To get learn more about HPE, check out their website here.

After hitting a low point last year, developer job satisfaction is officially on the rise. Erin Yepis returns to the show to unpack the 2025 Stack Overflow Developer Survey, analyzing how autonomy and compensation are driving this recovery. We also cover the happiness gap between senior and junior engineers, the surprising drop in trust for AI tools, and why vibe coding is failing to catch on with professional engineers.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Read the full report: 2025 Stack Overflow Developer SurveyStack Overflow Blog: Read Erin's analysis and moreErin Yepis: Connect on LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Parce que… c'est l'épisode 0x670! Shameless plug 25 et 26 février 2026 - SéQCure 2026 CfP 14 au 17 avril 2026 - Botconf 2026 28 et 29 avril 2026 - Cybereco Cyberconférence 2026 9 au 17 mai 2026 - NorthSec 2026 3 au 5 juin 2025 - SSTIC 2026 Description Ce podcast réunit François Proulx, Alexis Maurer-Fortin et Sébastien Graveline, chercheurs chez BoostSecurity, une startup montréalaise spécialisée en sécurité applicative. L'épisode explore les coulisses de leur travail de recherche et développement, particulièrement leurs découvertes récentes sur les vulnérabilités de type “race condition” dans les pipelines CI/CD. Structure et méthodologie de recherche L'équipe de recherche de BoostSecurity fonctionne de manière structurée mais flexible. François Proulx définit les grandes orientations annuelles basées sur les tendances émergentes et les apprentissages de l'année précédente. Alexis apporte son expertise en développement backend et son approche défensive, tandis que Sébastien, joueur avide de CTF, contribue avec une perspective offensive de red team. Garance, absente lors de l'enregistrement, assure la rigueur académique en effectuant des revues approfondies de la littérature scientifique. Infrastructure de recherche massive L'équipe a développé une infrastructure impressionnante pour la détection de vulnérabilités à grande échelle. Au cœur de leur système se trouve Poutine, un outil open source développé en Go pour scanner les pipelines de build, particulièrement les GitHub Actions. Cette infrastructure analyse continuellement l'écosystème open source, accumulant plusieurs téraoctets de données sur des millions de projets. Leur système “Threat Hunter” ingère en quasi-temps réel tous les événements publics sur GitHub avec un délai d'environ cinq minutes, capturant même les dépôts éphémères qui n'existent que brièvement. Cette capacité leur permet de détecter des attaques en cours, comme l'attaque par “confused deputy” de Kong qu'ils ont pu capturer et analyser. Les données sont stockées dans Google Cloud BigQuery, permettant des analyses complexes qui auraient autrefois nécessité des semaines de travail. Découverte d'une nouvelle technique de malware François décrit une découverte récente concernant une technique d'obfuscation utilisant les “Private Use Areas” d'Unicode. Ces plages de caractères, réservées mais jamais attribuées officiellement, permettent d'encoder des données arbitraires dans des chaînes de caractères invisibles. Un malware peut ainsi être caché dans du code source JavaScript, Python ou Go sans être visible dans les éditeurs standards comme Visual Studio Code. En réponse, l'équipe a développé “Puant”, un outil open source capable de scanner efficacement des millions de fichiers en quelques secondes pour détecter l'utilisation de ces caractères suspects. L'outil peut s'intégrer facilement dans les pipelines CI/CD pour bloquer du code contenant ces caractères invisibles lors de la révision de pull requests. Vulnérabilités “Time of Check, Time of Use” dans les pipelines CI/CD La découverte majeure présentée concerne une classe de vulnérabilités de type “race condition” appliquée aux build pipelines. L'équipe a identifié six cas significatifs affectant des entreprises comme Nvidia, GitHub Copilot et Jupyter Notebook. Le premier cas découvert impliquait le “copy-pr-bot” de Nvidia. Ce bot copie le code d'une pull request dans une branche dédiée après qu'un mainteneur ait commenté “ok to test”. L'équipe a découvert une fenêtre d'environ cinq secondes entre la commande du mainteneur et l'exécution du bot, pendant laquelle un attaquant pouvait modifier le code malicieusement puis le rétablir, rendant l'attaque invisible. Pour GitHub Copilot, la vulnérabilité était encore plus exploitable manuellement. Lorsqu'un mainteneur assignait Copilot pour résoudre un bug décrit dans une issue, un attaquant pouvait modifier les instructions pendant la race condition, demandant au bot d'insérer une backdoor tout en affichant une tâche légitime à l'écran. Le cas de Jupyter Notebook était particulièrement ironique : la vulnérabilité résidait dans le code de mitigation d'une race condition précédemment rapportée. La correction initiale présentait une erreur typographique dans la référence temporelle utilisée, rendant la mitigation complètement inefficace. Recommandations et mitigations L'équipe propose plusieurs stratégies de mitigation. La plus importante consiste à utiliser des mécanismes atomiques qui lient l'approbation du mainteneur à un commit SHA spécifique. GitHub offre la fonctionnalité “Pull Request Review” qui garantit cette atomicité, contrairement aux simples commentaires ou labels qui restent vulnérables aux race conditions. Les environnements GitHub constituent une autre défense robuste. Ils permettent de définir des règles d'approbation liées à des commits précis et de limiter l'accès aux secrets sensibles. L'équipe recommande fortement de restreindre la permission “Workflow Write”, qui permet de modifier les workflows GitHub Actions, car elle amplifie considérablement l'impact potentiel d'une attaque. Finalement, l'adoption du principe “fail-close” plutôt que “fail-open” est essentielle : en cas d'erreur inattendue, le système doit arrêter l'exécution plutôt que de continuer. Des outils comme Poutine peuvent scanner automatiquement les workflows pour détecter ces vulnérabilités avant leur déploiement. D'ailleurs, une recherche académique récente a identifié Poutine comme l'un des meilleurs outils du domaine, particulièrement pour son excellent ratio signal/bruit. Impact de l'intelligence artificielle L'équipe observe que l'IA générative crée involontairement de nouvelles vulnérabilités. Certains pipelines vulnérables qu'ils ont découverts provenaient clairement de code généré automatiquement, créant ainsi de nouvelles chaînes d'attaque dans la supply chain logicielle. Cette conversation met en lumière l'importance croissante de la sécurité des pipelines CI/CD dans l'écosystème open source moderne, où l'automatisation accrue multiplie les vecteurs d'attaque potentiels. Notes Split-Second Side Doors: How Bot-Delegated TOCTOU Breaks The CI/CD Threat Model Collaborateurs Nicolas-Loïc Fortin Alexis-Maurer Fortin Sébastien Graveline François Proulx Crédits Montage par Intrasecure inc Locaux virtuels par Riverside.fm

AI Assisted Coding: Swimming in AI - Managing Tech Debt in the Age of AI-Assisted Coding In this special episode, Lou Franco, veteran software engineer and author of "Swimming in Tech Debt," shares his practical approach to AI-assisted coding that produces the same amount of tech debt as traditional development—by reading every line of code. He explains the critical difference between vibecoding and AI-assisted coding, why commit-by-commit thinking matters, and how to reinvest productivity gains into code quality. Vibecoding vs. AI-Assisted Coding: Reading Code Matters "I read all the code that it outputs, so I need smaller steps of changes."   Lou draws a clear distinction between vibecoding and his approach to AI-assisted coding. Vibecoding, in his definition, means not reading the code at all—just prompting, checking outputs, and prompting again. His method is fundamentally different: he reads every line of generated code before committing it. This isn't just about catching bugs; it's about maintaining architectural control and accountability. As Lou emphasizes, "A computer can't be held accountable, so a computer can never make decisions. A human always has to make decisions." This philosophy shapes his entire workflow—AI generates code quickly, but humans make the final call on what enters the repository. The distinction matters because it determines whether you're managing tech debt proactively or discovering it later when changes become difficult. The Moment of Shift: Staying in the Zone "It kept me in the zone. It saved so much time! Never having to look up what a function's arguments were... it just saved so much time."   Lou's AI coding journey began in late 2022 with GitHub Copilot's free trial. He bought a subscription immediately after the trial ended because of one transformative benefit: staying in the flow state. The autocomplete functionality eliminated constant context switching to documentation, Stack Overflow searches, and function signature lookups. This wasn't about replacing thinking—it was about removing friction from implementation. Lou could maintain focus on the problem he was solving rather than getting derailed by syntax details. This experience shaped his understanding that AI's value lies in removing obstacles to productivity, not in replacing the developer's judgment about architecture and design. Thinking in Commits: The Right Size for AI Work "I think of prompts commit-by-commit. That's the size of the work I'm trying to do in a prompt."   Lou's workflow centers on a simple principle: size your prompts to match what should be a single commit. This constraint provides multiple benefits. First, it keeps changes small enough to review thoroughly—if a commit is too big to review properly, the prompt was too ambitious. Second, it creates a clear commit history that tells a story about how the code evolved. Third, it enables easy rollback if something goes wrong. This commit-sized thinking mirrors good development practices that existed long before AI—small, focused changes that each accomplish one clear purpose. Lou uses inline prompting in Cursor (Command-K) for these localized changes because it keeps context tight: "Right here, don't go look at the rest of my files... Everything you need is right here. The context is right here... And it's fast." The Tech Debt Question: Same Code, Same Debt "Based on the way I've defined how I did it, it's exactly the same amount of tech debt that I would have done on my own... I'm faster and can make more code, but I invest some of that savings back into cleaning things up."   As the author of "Swimming in Tech Debt," Lou brings unique perspective to whether AI coding creates more technical debt. His answer: not if you're reading and reviewing everything. When you maintain the same quality standards—code review, architectural oversight, refactoring—you generate the same amount of debt as manual coding. The difference is speed. Lou gets productivity gains from AI, and he consciously reinvests a portion of those gains back into code quality through refactoring. This creates a virtuous cycle: faster development enables more time for cleanup, which maintains a codebase that's easier for both humans and AI to work with. The key insight is that tech debt isn't caused by AI—it's caused by skipping quality practices regardless of how code is generated. When Vibecoding Creates Debt: AI Resistance as a Symptom "When you start asking the AI to do things, and it can't do them, or it undoes other things while it's doing them... you're experiencing the tech debt a different way. You're trying to make changes that are on your roadmap, and you're getting resistance from making those changes."   Lou identifies a fascinating pattern: tech debt from vibecoding (without code review) manifests as "AI resistance"—difficulty getting AI to make the changes you want. Instead of compile errors or brittle tests signaling problems, you experience AI struggling to understand your codebase, undoing changes while making new ones, or producing code with repetition and tight coupling. These are classic tech debt symptoms, just detected differently. The debt accumulates through architecture violations, lack of separation of concerns, and code that's hard to modify. Lou's point is profound: whether you notice debt through test failures or through AI confusion, the underlying problem is the same—code that's difficult to change. The solution remains consistent: maintain quality practices including code review, even when AI makes generation fast. Can AI Fix Tech Debt? Yes, With Guidance "You should have some acceptance criteria on the code... guide the LLM as to the level of code quality you want."   Lou is optimistic but realistic about AI's ability to address existing tech debt. AI can definitely help with refactoring and adding tests—but only with human guidance on quality standards. You must specify what "good code" looks like: acceptance criteria, architectural patterns, quality thresholds. Sometimes copy/paste is faster than having AI regenerate code. Very convoluted codebases challenge both humans and AI, so some remediation should happen before bringing AI into the picture. The key is recognizing that AI amplifies your approach—if you have strong quality standards and communicate them clearly, AI accelerates improvement. If you lack quality standards, AI will generate code just as problematic as what already exists. Reinvesting Productivity Gains in Quality "I'm getting so much productivity out of it, that investing a little bit of that productivity back into refactoring is extremely good for another kind of productivity."   Lou describes a critical strategy: don't consume all productivity gains as increased feature velocity. Reinvest some acceleration back into code quality through refactoring. This mirrors the refactor step in test-driven development—after getting code working, clean it up before moving on. AI makes this more attractive because the productivity gains are substantial. If AI makes you 30% faster at implementation, using 10% of that gain on refactoring still leaves you 20% ahead while maintaining quality. Lou explicitly budgets this reinvestment, treating quality maintenance as a first-class activity rather than something that happens "when there's time." This discipline prevents the debt accumulation that makes future work progressively harder. The 100x Code Concern: Accountability Remains Human "Directionally, I think you're probably right... this thing is moving fast, we don't know. But I'm gonna always want to read it and approve it."   When discussing concerns about AI generating 100x more code (and potentially 100x more tech debt), Lou acknowledges the risk while maintaining his position: he'll always read and approve code before it enters the repository. This isn't about slowing down unnecessarily—it's about maintaining accountability. Humans must make the decisions because only humans can be held accountable for those decisions. Lou sees potential for AI to improve by training on repository evolution rather than just end-state code, learning from commit history how codebases develop. But regardless of AI improvements, the human review step remains essential. The goal isn't to eliminate human involvement; it's to shift human focus from typing to thinking, reviewing, and making architectural decisions. Practical Workflow: Inline Prompting and Small Changes "Right here, don't go look at the rest of my files... Everything you need is right here. The context is right here... And it's fast."   Lou's preferred tool is Cursor with inline prompting (Command-K), which allows him to work on specific code sections with tight context. This approach is fast because it limits what AI considers, reducing both latency and irrelevant changes. The workflow resembles pair programming: Lou knows what he wants, points AI at the specific location, AI generates the implementation, and Lou reviews before accepting. He also uses Claude Code for full codebase awareness when needed, but the inline approach dominates his daily work. The key principle is matching tool choice to context needs—use inline prompting for localized changes, full codebase tools when you need broader understanding. This thoughtful tool selection keeps development efficient while maintaining control. Resources and Community Lou recommends Steve Yegge's upcoming book on vibecoding. His website, LouFranco.com, provides additional resources.    About Lou Franco   Lou Franco is a veteran software engineer and author of Swimming in Tech Debt. With decades of experience at startups, as well as Trello, and Atlassian, he's seen both sides of debt—as coder and leader. Today, he advises teams on engineering practices, helping them turn messy codebases into momentum.   You can link with Lou Franco on LinkedIn and visit his website at LouFranco.com.

When you co-create Kubernetes, you earn the right to have strong opinions on the next platform shift. This week, Ben sits down with Craig McLuckie, Co-founder & CEO of Stacklok, who is advocating for a shift in leadership mindset. He argues we need to move from asking if we can use AI to demanding to know why we can't. Listen to hear why he believes an "AI maximalist" philosophy is the only way to survive the next cycle.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Connect with Craig McLuckie: LinkedInCheck out Stacklok: Stacklok WebsiteOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

In this episode of PodRocket, Jack and Paige dive into the latest GitHub Octoverse report, covering trends like shipping faster with AI, the dominance of TypeScript as the top language, the rise of AI-generated pull requests, and the concerning drop in code review comments. They unpack the growing role of Copilot, the tension between OSS contributions and burnout, and the surge in AI infrastructure projects like Ollama. The discussion also touches on open source governance, the docs gap, prompt injection risks, and whether AI-powered browsers can succeed beyond the dev crowd. Links Resources Octoverse: A new developer joins GitHub every second as AI leads TypeScript to #1: https://github.blog/news-insights/octoverse/octoverse-a-new-developer-joins-github-every-second-as-ai-leads-typescript-to-1 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Check out our newsletter (https://blog.logrocket.com/the-replay-newsletter/)! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Chapters 01:15 – What is GitHub's Octoverse Report? 02:15 – Shipping Faster with AI 03:45 – Copilot's Impact on Code Quality 05:15 – TypeScript Takes the Lead 06:30 – Concerns About AI PR Volume 07:45 – Decline in Code Reviews 09:15 – OSS Maintenance Crisis 11:00 – GitHub Copilot and Funding OSS 12:30 – Where AI Actually Helps Devs 14:00 – Small Models and Running Locally 16:00 – TypeScript vs Python: Stack Implications 18:30 – Language Trends and AI Consolidation 21:00 – Framework and Stack Fragility in AI Era 24:00 – Docs Gap in OSS Projects 26:30 – Open Source Governance and Security Gaps 30:00 – AI Infrastructure Projects Leading GitHub 33:00 – Will AI Browsers Catch On? 35:00 – Prompt Injection and Security Risks 37:00 – Opportunity in OSS Documentation 39:30 – Final Thoughts and Hot Takes Special Guest: Jack Herrington.

Sabrina Goldfarb works at GitHub on billing systems and the Copilot AI tool. She made a career change from video editing to software engineering and started her tech journey with Frontend Masters' HTML/CSS bootcamp about eight years ago, which sparked her passion for coding.Sabrina co-founded Circulart, a fintech startup collecting data from emerging market central banks. She balances her GitHub work with managing the startup's technical architecture, crediting AI tools for making this possible by condensing what used to take a week into a day.She's passionate about teaching and giving back, driven by remembering her own eight-year struggle to break into tech. She advocates for creating your own opportunities and being persistent. Learn AI alongside coding fundamentals. Security and code understanding remain important, but AI proficiency is now essential. She encourages automating repetitive tasks and staying open to new technology.Check out Sabrina's Practical Prompt Engineering Course: https://frontendmasters.com/courses/prompt-engineering/Frontend Masters Online:Twitter: https://twitter.com/FrontendMastersLinkedIn: https://www.linkedin.com/company/frontend-masters/Facebook: https://www.facebook.com/FrontendMastersInstagram: https://instagram.com/FrontendMastersAbout Us:Advance your skills with in-depth, modern front-end engineering courses — our 150+ high-quality courses and 18 curated learning paths will guide you from mid-level to senior developer!frontendmasters.com

What do guitar busking, geospatial queries, and agentic coding have to do with Postgres? In Episode 33 of Talking Postgres, principal engineer Rob Emanuele at Microsoft shares his winding path from Venice Beach to building a new VS Code extension for PostgreSQL—that works with any Postgres, anywhere. We dig into GitHub Copilot, ask vs. agent mode, and how Rob now codes in English—and then spends even more time in code review to decide what's good, what's bad, and what's dangerous. Also: how PyCon changed his life; his work on the Microsoft Planetary Computer with spatio-temporal queries and PostGIS; and how music, improv, and failure shape his approach to developer experience. Links mentioned in this episode:Visual Studio Marketplace: VS Code extension for PostgreSQL with ~261K downloads to dateGitHub repo: VS Code extension for PostgreSQL (for issues/discussions)Docs: GitHub Copilot agent modePOSETTE 2025 Talk: Introducing Microsoft's VS Code Extension for PostgreSQL, by Matt McFarlandVS Code Live: Working with PostgreSQL databases with the Microsoft PostgreSQL VS Code extension, with Olivia Guzzardo & Rob EmanueleTalking Postgres Ep30: AI for data engineers with Simon WillisonPostgres Meetup for All: VS Code Tools for Postgres, happening on Thu Dec 11, 2025 Wikipedia: DogfoodingTalking Postgres Ep07: Why people care about PostGIS and Postgres with Paul Ramsey & Regina ObePOSETTE 2024 keynote: The Open Source Geospatial Community, PostGIS, & Postgres, by Regina ObeWebsite: Microsoft Planetary ComputerGitHub repo: PgSTACCal invite: LIVE recording of Ep34 of Talking Postgres to happen on Wed Dec 10, 2025

This week, we unpack the hero announcements from GitHub Universe 2025. Much of this is related to agents, agentic AI, and GitHub Copilot. We reflect on these new announcements as we proceed.(00:00) - Intro and catching up.(03:59) - Show content starts.Show links- Agent HQ- Custom agents examples- Copilot integrations - Agentic code review in Copilot- Plan mode- Agents.md- GitHub Code Quality- Usage metrics and API- Enterprise AI controls and agent control plane- Give us feedback!

In this week's episode the gather round and share what they've been up to for trunk or treat. Adam shares his waning motivation for his Jump Run side project, we explore sustainable motivation, the rewrite temptation, and whether it's okay to just... do the fun thing sometimes. Meanwhile, Tim provides a reality check on AI coding tools—he spent real hours comparing GitHub Copilot and Codex on actual work, and the results are messier than the hype suggests.Follow the show and be sure to join the discussion on Discord! Our website is workingcode.dev and we're @workingcode.dev on Bluesky. New episodes drop weekly on Wednesday.And, if you're feeling the love, support us on Patreon.With audio editing and engineering by ZCross Media.Full show notes and transcript here.

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Ulrich (Uli) Homann, Corporate Vice President, Microsoft, and Mark Luquire, EY Global Microsoft Alliance Co-innovation Leader, about how to build an agentic AI enterprise that doesn't just work faster, but works smarter and, most importantly, works for everyone. KEY TAKEAWAYS In the past automation has been very task driven and specific, things had to go in a certain order and you needed to know that order ahead of time. While you need some of that with generative AI, we now have a system that can help do some of that thinking, so if things change in the process along the way, you can deal with it. Now you can rethink what processes even need to exist and focus on the outcome and how to get to it in a new way.  By giving everyone at EY access to generative AI a couple of years ago we learned that people were able to accomplish more more quickly. They used it as a thought-partner, used it as a way to fine tune the product they were working on. Being able to see the evolution of generative AI to now where it's coding applications on its own almost, seeing the new agent capabilities and tools, and being able to take action on its own with very little prompting, it opens the doors to possibilities and what you'll be able to do in the future.  BEST MOMENTS  ‘Focus on where you want to be and then rethink how you're going to get there, that's the real key.' ‘It's not just an assistant to you, providing you with information, it's actually taking on work it's actually thinking through and processing those things as well.' ABOUT THE GUESTS Ulrich (Uli) Homann is a Corporate Vice President & Distinguished Architect in the Cloud + AI business at Microsoft. As part of the senior engineering leadership team, he's responsible for the customer-led innovation efforts across the cloud and enterprise platform portfolio. Previously Homann was the Chief Architect for Microsoft worldwide enterprise services, having formerly played a key role in the business' newly formed Platforms, Technology and Strategy Group. Prior to joining Microsoft in 1991, he worked for several small consulting companies, where he designed and developed distributed systems and has spent most of his career using well-defined applications and architectures to simplify and streamline the development of business applications. Mark Luquire leads the EY organization's global efforts to co-develop innovative solutions with Microsoft and clients, driving growth and accelerating technology strategy. He oversees cross-functional teams spanning sectors and service lines, serving as a key liaison to Microsoft's product and engineering teams. Previously, Mark headed Platform Adoption for EY Global, leading enterprise-wide AI and cloud enablement, including integrating generative AI tools like EYQ, GitHub Copilot and Microsoft Copilot. He also created the first EY Global DevOps Practice and led cloud transformation efforts, making EY a leader in Microsoft Azure usage. Mark's career includes leadership roles in large healthcare enterprises and technology startups, where he established scalable operations, spearheaded digital transformation, and built high-performing global teams. ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook  TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

Welp, Azure crashed on Microsoft's earnings day, the cloud's weakest link exposed just as AI investments hit mind-boggling numbers. And 2.5 years into the AI era, things are still moving quickly, and there are extreme opinions on both ends of the spectrum. But Paul finally found a source for a good way to evaluate AI and figure out where it works and where it does not. It came from an unexpected place.Windows 11 Week D arrives with a massive Preview Update for 24H2 and 25H2 - including the new Start menu, finally Copy & Search, Voice typing improvements, Proactive Memory Diagnostics, more in Dev and Beta Copilot Vision in Copilot app updated with text input and output across all Insider channels Intel earnings are great unless you understand how numbers work Microsoft 365 Australia regulator sues Microsoft over misleading Microsoft 365 consumer pricing Copilot is being integrated into the People, Files, and Calendar companion apps for Microsoft 365 commercial On the day Microsoft will report earnings, Microsoft 365 and Azure went down. Hilarious! AI OpenAI completes its transition to a for-profit owned by a non-profit Microsoft's stake is 27 percent. A lot has changed in the Microsoft/OpenAI partnership agreement WSJ finally calls out Microsoft for its lack of financial reporting transparency. Paul's been complaining about that for over a decade - Big Tech has became a shell game. These companies are managing money they don't even have and actual products and services and "real" value be damned Big Copilot feature dump for consumers with a human touch: Mico, Copilot Groups, memory improvements, connectors, Proactive Actions in preview, Copilot for Health, Copilot in Edge improvements, and Copilot in Windows updates from last week Microsoft 365 Copilot is getting App Builder and Workflow agents GitHub Copilot to support third-party AI agents Grammarly rebrands as Superhuman Xbox and gaming Credible report claims Microsoft requires Xbox/Microsoft Gaming to deliver 30 percent profit margin That is impossible and this is clearly coming from Amy Hood and has led to the ensh*ttification of Xbox as a platform As Microsoft launches first gaming handhelds, all anyone wants to talk about is the next-generation Xbox console. It started with Sarah Bond last week - "very premium" console with "curated" experience Phil Spencer discusses it this week, who implied Windows at the heart of console The rumor mill churns up - Will be Windows, as we've said, will drop multiplayer paywall that debuted in 2002 Now Satya Nadella is commenting on the next console, confirms publisher focus for this business Halo: Campaign Evolved is coming in 2026, new features, new Unreal Engine graphics, new PS5 compatibility Also, The Outer Worlds 2 is now available. Yes, on PS5 too Amazon relaunches Luna, and the new Amazon layoffs point to a new focus on casual gaming Tips and picks Tip of the week: Understand where AI works and where AI is just a marketing term used to hype something that doesn't work App pick of the week: Tiny11 Builder RunAs Radio this week: AI for DBAs with Grant Fritchey Brown liquor pick of the week: Redbreast Dream Casks These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/956 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: framer.com/design promo code WW auraframes.com/ink ventionteams.com/twit cachefly.com/twit

Welp, Azure crashed on Microsoft's earnings day, the cloud's weakest link exposed just as AI investments hit mind-boggling numbers. And 2.5 years into the AI era, things are still moving quickly, and there are extreme opinions on both ends of the spectrum. But Paul finally found a source for a good way to evaluate AI and figure out where it works and where it does not. It came from an unexpected place.Windows 11 Week D arrives with a massive Preview Update for 24H2 and 25H2 - including the new Start menu, finally Copy & Search, Voice typing improvements, Proactive Memory Diagnostics, more in Dev and Beta Copilot Vision in Copilot app updated with text input and output across all Insider channels Intel earnings are great unless you understand how numbers work Microsoft 365 Australia regulator sues Microsoft over misleading Microsoft 365 consumer pricing Copilot is being integrated into the People, Files, and Calendar companion apps for Microsoft 365 commercial On the day Microsoft will report earnings, Microsoft 365 and Azure went down. Hilarious! AI OpenAI completes its transition to a for-profit owned by a non-profit Microsoft's stake is 27 percent. A lot has changed in the Microsoft/OpenAI partnership agreement WSJ finally calls out Microsoft for its lack of financial reporting transparency. Paul's been complaining about that for over a decade - Big Tech has became a shell game. These companies are managing money they don't even have and actual products and services and "real" value be damned Big Copilot feature dump for consumers with a human touch: Mico, Copilot Groups, memory improvements, connectors, Proactive Actions in preview, Copilot for Health, Copilot in Edge improvements, and Copilot in Windows updates from last week Microsoft 365 Copilot is getting App Builder and Workflow agents GitHub Copilot to support third-party AI agents Grammarly rebrands as Superhuman Xbox and gaming Credible report claims Microsoft requires Xbox/Microsoft Gaming to deliver 30 percent profit margin That is impossible and this is clearly coming from Amy Hood and has led to the ensh*ttification of Xbox as a platform As Microsoft launches first gaming handhelds, all anyone wants to talk about is the next-generation Xbox console. It started with Sarah Bond last week - "very premium" console with "curated" experience Phil Spencer discusses it this week, who implied Windows at the heart of console The rumor mill churns up - Will be Windows, as we've said, will drop multiplayer paywall that debuted in 2002 Now Satya Nadella is commenting on the next console, confirms publisher focus for this business Halo: Campaign Evolved is coming in 2026, new features, new Unreal Engine graphics, new PS5 compatibility Also, The Outer Worlds 2 is now available. Yes, on PS5 too Amazon relaunches Luna, and the new Amazon layoffs point to a new focus on casual gaming Tips and picks Tip of the week: Understand where AI works and where AI is just a marketing term used to hype something that doesn't work App pick of the week: Tiny11 Builder RunAs Radio this week: AI for DBAs with Grant Fritchey Brown liquor pick of the week: Redbreast Dream Casks These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/956 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: framer.com/design promo code WW auraframes.com/ink ventionteams.com/twit cachefly.com/twit

Welp, Azure crashed on Microsoft's earnings day, the cloud's weakest link exposed just as AI investments hit mind-boggling numbers. And 2.5 years into the AI era, things are still moving quickly, and there are extreme opinions on both ends of the spectrum. But Paul finally found a source for a good way to evaluate AI and figure out where it works and where it does not. It came from an unexpected place.Windows 11 Week D arrives with a massive Preview Update for 24H2 and 25H2 - including the new Start menu, finally Copy & Search, Voice typing improvements, Proactive Memory Diagnostics, more in Dev and Beta Copilot Vision in Copilot app updated with text input and output across all Insider channels Intel earnings are great unless you understand how numbers work Microsoft 365 Australia regulator sues Microsoft over misleading Microsoft 365 consumer pricing Copilot is being integrated into the People, Files, and Calendar companion apps for Microsoft 365 commercial On the day Microsoft will report earnings, Microsoft 365 and Azure went down. Hilarious! AI OpenAI completes its transition to a for-profit owned by a non-profit Microsoft's stake is 27 percent. A lot has changed in the Microsoft/OpenAI partnership agreement WSJ finally calls out Microsoft for its lack of financial reporting transparency. Paul's been complaining about that for over a decade - Big Tech has became a shell game. These companies are managing money they don't even have and actual products and services and "real" value be damned Big Copilot feature dump for consumers with a human touch: Mico, Copilot Groups, memory improvements, connectors, Proactive Actions in preview, Copilot for Health, Copilot in Edge improvements, and Copilot in Windows updates from last week Microsoft 365 Copilot is getting App Builder and Workflow agents GitHub Copilot to support third-party AI agents Grammarly rebrands as Superhuman Xbox and gaming Credible report claims Microsoft requires Xbox/Microsoft Gaming to deliver 30 percent profit margin That is impossible and this is clearly coming from Amy Hood and has led to the ensh*ttification of Xbox as a platform As Microsoft launches first gaming handhelds, all anyone wants to talk about is the next-generation Xbox console. It started with Sarah Bond last week - "very premium" console with "curated" experience Phil Spencer discusses it this week, who implied Windows at the heart of console The rumor mill churns up - Will be Windows, as we've said, will drop multiplayer paywall that debuted in 2002 Now Satya Nadella is commenting on the next console, confirms publisher focus for this business Halo: Campaign Evolved is coming in 2026, new features, new Unreal Engine graphics, new PS5 compatibility Also, The Outer Worlds 2 is now available. Yes, on PS5 too Amazon relaunches Luna, and the new Amazon layoffs point to a new focus on casual gaming Tips and picks Tip of the week: Understand where AI works and where AI is just a marketing term used to hype something that doesn't work App pick of the week: Tiny11 Builder RunAs Radio this week: AI for DBAs with Grant Fritchey Brown liquor pick of the week: Redbreast Dream Casks These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/956 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: framer.com/design promo code WW auraframes.com/ink ventionteams.com/twit cachefly.com/twit

Welp, Azure crashed on Microsoft's earnings day, the cloud's weakest link exposed just as AI investments hit mind-boggling numbers. And 2.5 years into the AI era, things are still moving quickly, and there are extreme opinions on both ends of the spectrum. But Paul finally found a source for a good way to evaluate AI and figure out where it works and where it does not. It came from an unexpected place.Windows 11 Week D arrives with a massive Preview Update for 24H2 and 25H2 - including the new Start menu, finally Copy & Search, Voice typing improvements, Proactive Memory Diagnostics, more in Dev and Beta Copilot Vision in Copilot app updated with text input and output across all Insider channels Intel earnings are great unless you understand how numbers work Microsoft 365 Australia regulator sues Microsoft over misleading Microsoft 365 consumer pricing Copilot is being integrated into the People, Files, and Calendar companion apps for Microsoft 365 commercial On the day Microsoft will report earnings, Microsoft 365 and Azure went down. Hilarious! AI OpenAI completes its transition to a for-profit owned by a non-profit Microsoft's stake is 27 percent. A lot has changed in the Microsoft/OpenAI partnership agreement WSJ finally calls out Microsoft for its lack of financial reporting transparency. Paul's been complaining about that for over a decade - Big Tech has became a shell game. These companies are managing money they don't even have and actual products and services and "real" value be damned Big Copilot feature dump for consumers with a human touch: Mico, Copilot Groups, memory improvements, connectors, Proactive Actions in preview, Copilot for Health, Copilot in Edge improvements, and Copilot in Windows updates from last week Microsoft 365 Copilot is getting App Builder and Workflow agents GitHub Copilot to support third-party AI agents Grammarly rebrands as Superhuman Xbox and gaming Credible report claims Microsoft requires Xbox/Microsoft Gaming to deliver 30 percent profit margin That is impossible and this is clearly coming from Amy Hood and has led to the ensh*ttification of Xbox as a platform As Microsoft launches first gaming handhelds, all anyone wants to talk about is the next-generation Xbox console. It started with Sarah Bond last week - "very premium" console with "curated" experience Phil Spencer discusses it this week, who implied Windows at the heart of console The rumor mill churns up - Will be Windows, as we've said, will drop multiplayer paywall that debuted in 2002 Now Satya Nadella is commenting on the next console, confirms publisher focus for this business Halo: Campaign Evolved is coming in 2026, new features, new Unreal Engine graphics, new PS5 compatibility Also, The Outer Worlds 2 is now available. Yes, on PS5 too Amazon relaunches Luna, and the new Amazon layoffs point to a new focus on casual gaming Tips and picks Tip of the week: Understand where AI works and where AI is just a marketing term used to hype something that doesn't work App pick of the week: Tiny11 Builder RunAs Radio this week: AI for DBAs with Grant Fritchey Brown liquor pick of the week: Redbreast Dream Casks These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/956 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: framer.com/design promo code WW auraframes.com/ink ventionteams.com/twit cachefly.com/twit

Welp, Azure crashed on Microsoft's earnings day, the cloud's weakest link exposed just as AI investments hit mind-boggling numbers. And 2.5 years into the AI era, things are still moving quickly, and there are extreme opinions on both ends of the spectrum. But Paul finally found a source for a good way to evaluate AI and figure out where it works and where it does not. It came from an unexpected place.Windows 11 Week D arrives with a massive Preview Update for 24H2 and 25H2 - including the new Start menu, finally Copy & Search, Voice typing improvements, Proactive Memory Diagnostics, more in Dev and Beta Copilot Vision in Copilot app updated with text input and output across all Insider channels Intel earnings are great unless you understand how numbers work Microsoft 365 Australia regulator sues Microsoft over misleading Microsoft 365 consumer pricing Copilot is being integrated into the People, Files, and Calendar companion apps for Microsoft 365 commercial On the day Microsoft will report earnings, Microsoft 365 and Azure went down. Hilarious! AI OpenAI completes its transition to a for-profit owned by a non-profit Microsoft's stake is 27 percent. A lot has changed in the Microsoft/OpenAI partnership agreement WSJ finally calls out Microsoft for its lack of financial reporting transparency. Paul's been complaining about that for over a decade - Big Tech has became a shell game. These companies are managing money they don't even have and actual products and services and "real" value be damned Big Copilot feature dump for consumers with a human touch: Mico, Copilot Groups, memory improvements, connectors, Proactive Actions in preview, Copilot for Health, Copilot in Edge improvements, and Copilot in Windows updates from last week Microsoft 365 Copilot is getting App Builder and Workflow agents GitHub Copilot to support third-party AI agents Grammarly rebrands as Superhuman Xbox and gaming Credible report claims Microsoft requires Xbox/Microsoft Gaming to deliver 30 percent profit margin That is impossible and this is clearly coming from Amy Hood and has led to the ensh*ttification of Xbox as a platform As Microsoft launches first gaming handhelds, all anyone wants to talk about is the next-generation Xbox console. It started with Sarah Bond last week - "very premium" console with "curated" experience Phil Spencer discusses it this week, who implied Windows at the heart of console The rumor mill churns up - Will be Windows, as we've said, will drop multiplayer paywall that debuted in 2002 Now Satya Nadella is commenting on the next console, confirms publisher focus for this business Halo: Campaign Evolved is coming in 2026, new features, new Unreal Engine graphics, new PS5 compatibility Also, The Outer Worlds 2 is now available. Yes, on PS5 too Amazon relaunches Luna, and the new Amazon layoffs point to a new focus on casual gaming Tips and picks Tip of the week: Understand where AI works and where AI is just a marketing term used to hype something that doesn't work App pick of the week: Tiny11 Builder RunAs Radio this week: AI for DBAs with Grant Fritchey Brown liquor pick of the week: Redbreast Dream Casks These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/956 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: framer.com/design promo code WW auraframes.com/ink ventionteams.com/twit cachefly.com/twit

Should startups only hire senior developers? The conventional wisdom says yes, but what if hiring junior developers is actually a startup's secret weapon for building a strong, collaborative culture? In this episode, we talk to Purity Health's Chief Technology Officer, David Andrews, and Chief Product Officer (and NSS grad!) Fletcher Watson. David and Fletcher share why they've made it a priority to hire junior developers from the beginning. They discuss how they create a supportive culture, mentor new team members, and help them find their career paths. Plus, we get a real-world look at how their team uses generative AI tools like GitHub Copilot and the "strong guardrails" they've put in place—like mandatory code reviews and complete test coverage—to ensure quality. This is a must-listen for aspiring developers who want to know what supportive companies look for and how great teams are built or startups looking to hire junior developers. 00:33 Welcome & Introduction 01:06 Fletcher Watson's Journey: From Teaching in Korea to NSS 03:58 David Andrews' Story: A Serial Entrepreneur & Technologist 06:04 Roles at Purity Health: CTO vs. CPO 07:01 What is Purity Health? (Mission & Tech Stack) 11:53 The Startup Case for Hiring Junior Developers 14:42 Why Juniors Are Key for Building Culture 20:42 How to Mentor: Making Juniors Feel "Comfortable" 27:57 Helping Developers Find Their Path 38:25 Integrating Generative AI at a Startup 39:35 "Strong Guardrails" for Using AI 44:10 Using AI to Build and Review Tests 50:15 Build Guardrails to Avoid "AI Salvage" 53:47 Technology Guilty Pleasures 57:18 Final Thoughts LINKS: Purity Health: https://www.purity-health.com/ Nashville Software School: https://nashvillesoftwareschool.com GitHub Copilot: https://github.com/features/copilot

Welp, Azure crashed on Microsoft's earnings day, the cloud's weakest link exposed just as AI investments hit mind-boggling numbers. And 2.5 years into the AI era, things are still moving quickly, and there are extreme opinions on both ends of the spectrum. But Paul finally found a source for a good way to evaluate AI and figure out where it works and where it does not. It came from an unexpected place.Windows 11 Week D arrives with a massive Preview Update for 24H2 and 25H2 - including the new Start menu, finally Copy & Search, Voice typing improvements, Proactive Memory Diagnostics, more in Dev and Beta Copilot Vision in Copilot app updated with text input and output across all Insider channels Intel earnings are great unless you understand how numbers work Microsoft 365 Australia regulator sues Microsoft over misleading Microsoft 365 consumer pricing Copilot is being integrated into the People, Files, and Calendar companion apps for Microsoft 365 commercial On the day Microsoft will report earnings, Microsoft 365 and Azure went down. Hilarious! AI OpenAI completes its transition to a for-profit owned by a non-profit Microsoft's stake is 27 percent. A lot has changed in the Microsoft/OpenAI partnership agreement WSJ finally calls out Microsoft for its lack of financial reporting transparency. Paul's been complaining about that for over a decade - Big Tech has became a shell game. These companies are managing money they don't even have and actual products and services and "real" value be damned Big Copilot feature dump for consumers with a human touch: Mico, Copilot Groups, memory improvements, connectors, Proactive Actions in preview, Copilot for Health, Copilot in Edge improvements, and Copilot in Windows updates from last week Microsoft 365 Copilot is getting App Builder and Workflow agents GitHub Copilot to support third-party AI agents Grammarly rebrands as Superhuman Xbox and gaming Credible report claims Microsoft requires Xbox/Microsoft Gaming to deliver 30 percent profit margin That is impossible and this is clearly coming from Amy Hood and has led to the ensh*ttification of Xbox as a platform As Microsoft launches first gaming handhelds, all anyone wants to talk about is the next-generation Xbox console. It started with Sarah Bond last week - "very premium" console with "curated" experience Phil Spencer discusses it this week, who implied Windows at the heart of console The rumor mill churns up - Will be Windows, as we've said, will drop multiplayer paywall that debuted in 2002 Now Satya Nadella is commenting on the next console, confirms publisher focus for this business Halo: Campaign Evolved is coming in 2026, new features, new Unreal Engine graphics, new PS5 compatibility Also, The Outer Worlds 2 is now available. Yes, on PS5 too Amazon relaunches Luna, and the new Amazon layoffs point to a new focus on casual gaming Tips and picks Tip of the week: Understand where AI works and where AI is just a marketing term used to hype something that doesn't work App pick of the week: Tiny11 Builder RunAs Radio this week: AI for DBAs with Grant Fritchey Brown liquor pick of the week: Redbreast Dream Casks These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/956 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: framer.com/design promo code WW auraframes.com/ink ventionteams.com/twit cachefly.com/twit

On this episode of Hanselminutes, Scott Hanselman talks with cloud migration and app modernization expert Mike Rousos about the challenges and opportunities of bringing decades-old applications into the modern era. They discuss practical strategies for app modernization, how AI and GitHub Copilot are reshaping developer workflows, and what it takes to transform legacy software into systems ready for the future.

Nicole Forsgren created the most widely used frameworks for measuring developer productivity—DORA and SPACE. She wrote the foundational book Accelerate and is about to release her newest book, Frictionless, a practical guide for helping teams move faster in the AI era. She's currently Senior Director of Developer Intelligence at Google.We discuss:1. Why most productivity metrics are a lie2. Signs that your engineering team could be moving much faster3. Why AI accelerates coding but developers aren't speeding up as much as you think4. AI's impact on engineers getting into “flow”5. Her framework for building and scaling a developer experience team6. The three components of developer experience: flow state, cognitive load, and feedback loops—Brought to you by:Mercury—The art of simplified finances: https://mercury.com/WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyCoda—The all-in-one collaborative workspace: https://coda.io/lenny—Where to find Nicole Forsgren:• Twitter: https://twitter.com/nicolefv• LinkedIn: https://www.linkedin.com/in/nicolefv/• Website: https://nicolefv.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nicole Forsgren(05:09) The concept of developer experience (DevEx)(08:33) Flow state and cognitive load in the age of AI(12:02) Challenges in measuring productivity with AI(21:19) The importance of developer experience for business value(22:20) Common issues and solutions in developer experience(26:49) Signs your eng team is moving too slow(29:52) How AI is improving productivity(33:32) Real examples of productivity improvements(36:35) Introducing her new book, Frictionless(43:40) How to get started building a DevEx team(45:15) The impact of forming developer experience teams(46:15)  How to measure the impact of DevEx teams(48:53) Measuring the impact of AI tools on productivity(55:16) Survey design for developer experience(57:59) Popular AI tools for developers(59:08) Bringing a product mindset to DevEx improvements(01:00:40) AI corner(01:02:33) Lightning round and final thoughts—Referenced:• How to measure and improve developer productivity | Nicole Forsgren (Microsoft Research, GitHub, Google): https://www.lennysnewsletter.com/p/how-to-measure-and-improve-developer• DORA: https://dora.dev/• The SPACE framework: A comprehensive guide to developer productivity: https://getdx.com/blog/space-metrics/• Measuring developer productivity with the DX Core 4: https://getdx.com/research/measuring-developer-productivity-with-the-dx-core-4/• Gloria Mark's website: https://gloriamark.com/• Taking Flight with Copilot: https://dl.acm.org/doi/10.1145/3589996• DevEx in Action: https://spawn-queue.acm.org/doi/10.1145/3639443• CodeX: https://openai.com/codex/• Devin: https://devin.ai/• Abi Noda on LinkedIn: https://www.linkedin.com/in/abinoda/• DX is joining Atlassian: https://getdx.com/blog/dx-is-joining-atlassian/• GitHub Copilot: https://github.com/features/copilot• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Gemini Code Assist: https://codeassist.google/• Claude Code: https://www.claude.com/product/claude-code• The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder/CEO of Every): https://www.lennysnewsletter.com/p/inside-every-dan-shipper• Love Is Blind on Netflix: https://www.netflix.com/title/80996601• Shrinking on AppleTV+: https://tv.apple.com/us/show/shrinking/umc.cmc.apzybj6eqf6pzccd97kev7bs• Ninja Creami: https://www.amazon.com/Ninja-NC301-CREAMi-Containers-Bundle/dp/B0BLGR5JPV/• Jura coffee maker: https://www.amazon.com/Jura-Nordic-Automatic-Coffee-Machine/dp/B0CF65BFZ1/—Recommended books:• Frictionless: https://developerexperiencebook.com/• DevEx Workbook: https://developerexperiencebook.com/#workbook• Outlive: The Science and Art of Longevity: https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599• Back Mechanic: https://www.amazon.com/Back-Mechanic-Stuart-McGill-2015-09-30/dp/B01FKSGJYC• How Big Things Get Done: The Surprising Factors That Determine the Fate of Every Project, from Home Renovations to Space Exploration and Everything in Between: https://www.amazon.com/How-Big-Things-Get-Done/dp/0593239512/• The Undoing Project: A Friendship That Changed Our Minds: https://www.amazon.com/dp/B01KBM82M4/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern.  Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, requiring teams to think in terms of complete features rather than granular technical tasks. The coordination challenge becomes managing handoffs and integration points when individuals can ship significant functionality in hours rather than days. The Non-Deterministic Challenge: A New Grammar "When you're moving from low-level language to higher-level language, they are still deterministic. But now with LLMs, it's not deterministic. This changes how we have to think about coding completely." The shift to natural language prompting introduces fundamental uncertainty absent from traditional programming. Unlike the progression from assembly to C to Python - all deterministic - working with LLMs means accepting probabilistic outputs. This requires developers to adopt new mental models: thinking in terms of guidance rather than precise instructions, maintaining checkpoints for rollback, and developing intuition for when AI is "hallucinating" versus producing valid solutions. Some developers struggle with this loss of control, while others find liberation in focusing on what to build rather than how to build it. Code Reviews and Testing: What Changes? "With AI, I spend more time on the actual product doing exploratory testing. The AI is doing the coding, so I can focus on whether it works as intended rather than syntax and patterns." Traditional code review loses relevance when AI generates syntactically correct, pattern-compliant code. The focus shifts to testing actual functionality and user experience. Markus emphasizes: Manual exploratory testing becomes more important as developers can't rely on having written and understood every line Test discipline is critical - AI can write tests that always pass (assert true), so verification is essential Test-first approach helps ensure tests actually verify behavior rather than just existing Periodic test validation: Randomly modify test outputs to verify they fail when they should Loosening review processes to avoid bottlenecks when code generation accelerates dramatically Anti-Patterns and Pitfalls to Avoid Several common mistakes emerge when developers start with AI-assisted coding: Continuing too long: When AI makes 5+ iterations without progress, stop and reset rather than letting it spiral Skipping commits: Without frequent Git checkpoints, recovery from AI mistakes becomes extremely difficult Over-reliance without verification: Trusting AI-generated tests without confirming they actually test something meaningful Ignoring context limits: Continuing to add context until the AI becomes confused and produces poor results Maintaining traditional task sizes: Splitting work too granularly when AI enables completing larger chunks Forgetting exploration: Reading about tools rather than experimenting hands-on with your own projects The Future: Autonomous Agents and Automatic Testing "I hope that these LLMs will become larger context windows and smarter. Tools like Replit are pushing boundaries - they can potentially do automatic testing and verification for you." Markus sees rapid evolution toward more autonomous development agents. Current trends include: Expanded context windows enabling AI to understand entire codebases without manual context curation Automatic testing generation where AI not only writes code but also creates and runs comprehensive test suites Self-verification loops where agents test their own work and iterate without human intervention Design-to-implementation pipelines where UI mockups directly generate working code Agentic tools that can break down complex features autonomously and implement them incrementally The key insight: we're moving from "AI helps me code" to "AI codes while I guide and verify" - a fundamental shift in the developer's role from implementer to architect and quality assurance. Getting Started: Experiment and Learn by Doing "I haven't found a single resource that covers everything. My recommendation is to try Claude Code or Cursor yourself with your own small projects. You don't know the experience until you try it." Rather than pointing to comprehensive guides (which don't yet exist for this rapidly evolving field), Markus advocates hands-on experimentation. Start with personal projects where stakes are low. Try multiple tools to understand their strengths. Build intuition through practice rather than theory. The field changes so rapidly that reading about tools quickly becomes outdated - but developing the mindset and practices for working with AI assistance provides durable value regardless of which specific tools dominate in the future. About Markus Hjort Markus is Co-founder and CTO of Bitmagic, and has over 20 years of software development expertise. Starting with Commodore 64 game programming, his career spans gaming, fintech, and more. As a programmer, consultant, agile coach, and leader, Markus has successfully guided numerous tech startups from concept to launch. You can connect with Markus Hjort on LinkedIn.

In this issue of the Future of Cyber newsletter, Sean Martin digs into a topic that's quietly reshaping how software gets built—and how it breaks: the rise of AI-powered coding tools like ChatGPT, Claude, and GitHub Copilot.These tools promise speed, efficiency, and reduced boilerplate—but what are the hidden trade-offs? What happens when the tools go offline, or when the systems built through them are so abstracted that even the engineers maintaining them don't fully understand what they're working with?Drawing from conversations across the cybersecurity, legal, and developer communities—including a recent legal tech conference where law firms are empowering attorneys to “vibe code” internal tools—this article doesn't take a hard stance. Instead, it raises urgent questions:Are we creating shadow logic no one can trace?Do developers still understand the systems they're shipping?What happens when incident response teams face AI-generated code with no documentation?Are AI-generated systems introducing silent fragility into critical infrastructure?The piece also highlights insights from a recent podcast conversation with security architect Izar Tarandach, who compares AI coding to junior development: fast and functional, but in need of serious oversight. He warns that organizations rushing to automate development may be building brittle systems on shaky foundations, especially when security practices are assumed rather than applied.This is not a fear-driven screed or a rejection of AI. Rather, it's a call to assess new dependencies, rethink development accountability, and start building contingency plans before outages, hallucinations, or misconfigurations force the issue.If you're a CISO, developer, architect, risk manager—or anyone involved in software delivery or security—this article is designed to make you pause, think, and ideally, respond.

Albert Cheng has led growth at three of the world's most successful consumer subscription companies: Duolingo, Grammarly, and Chess.com. A former Google product manager (and serious pianist!), Albert developed a unique approach to finding and scaling growth opportunities through rapid experimentation and deep user psychology. His teams run 1,000 experiments a year, discovering counterintuitive insights that have driven tens of millions in revenue.What you'll learn:1. How to use the explore-exploit framework to find new growth opportunities2. How showing premium features to free users doubled Grammarly's upgrades to paid plans3. What good retention looks like for a consumer subscription app4. Why resurrected users drive 80% of mature product growth5. Why “reverse trials” work better than time-based trials6. The three pillars of successful gamification: core loop, metagame, and profile —Brought to you by:Vanta—Automate compliance. Simplify security.Jira Product Discovery—Confidence to build the right thingMiro—A collaborative visual platform where your best work comes to life—Where to find Albert Cheng:• X: https://x.com/albertc248• LinkedIn: https://www.linkedin.com/in/albertcheng1/• Chess.com: https://www.chess.com/member/Goniners—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—Referenced:• How Duolingo reignited user growth: https://www.lennysnewsletter.com/p/how-duolingo-reignited-user-growth• Inside ChatGPT: The fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Explore vs. Exploit: https://brianbalfour.com/quick-takes/explore-vs-exploit• Grammarly: https://www.grammarly.com/• Reforge: https://www.reforge.com/• Chess.com: https://www.chess.com/• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder & CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Figma: https://www.figma.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Claude Code: https://www.anthropic.com/claude-code• GitHub Copilot: https://github.com/features/copilot• Noam Lovinsky on LinkedIn: https://www.linkedin.com/in/noaml/• The happiness and pain of product management | Noam Lovinsky (Grammarly, Facebook, YouTube, Thumbtack): https://www.lennysnewsletter.com/p/the-happiness-and-pain-of-product• Kyla Siedband on LinkedIn: https://www.linkedin.com/in/kylasiedband/• The Duolingo handbook: https://blog.duolingo.com/handbook/• Lenny's post on X about the Duolingo handbook: https://x.com/lennysan/status/1889008405584683091• The rituals of great teams | Shishir Mehrotra of Coda, YouTube, Microsoft: https://www.lennysnewsletter.com/p/the-rituals-of-great-teams-shishir• Duolingo on TikTok: https://www.tiktok.com/@duolingo• Kasparov vs. Deep Blue | The Match That Changed History: https://www.chess.com/article/view/deep-blue-kasparov-chess• Magnus Carlsen: https://en.wikipedia.org/wiki/Magnus_Carlsen• Elo rating system: https://www.chess.com/terms/elo-rating-chess• Stockfish: https://en.wikipedia.org/wiki/Stockfish_(chess)• AlphaGo on Prime Video: https://www.primevideo.com/detail/AlphaGo/0KNQHKKDAOE8OCYKQS9WSSDYN0• Statsig: https://www.statsig.com/• The State of Product in 2026: Navigating Change, Challenge, and Opportunity: https://www.atlassian.com/blog/announcements/state-of-product-2026• Erik Allebest on LinkedIn: https://www.linkedin.com/in/erikallebest/• Daniel Rensch on X: https://x.com/danielrensch• Chariot: https://en.wikipedia.org/wiki/Chariot_(company)• San Francisco 49ers: https://www.49ers.com/• Breville Barista Express: https://www.breville.com/en-us/product/bes870—Recommended books:• Snuggle Puppy!: A Little Love Song: https://www.amazon.com/Snuggle-Puppy-Little-Boynton-Board/dp/1665924985• Ogilvy on Advertising: https://www.amazon.com/Ogilvy-Advertising-David/dp/039472903X• Dark Squares: How Chess Saved My Life: https://www.amazon.com/Dark-Squares-Chess-Saved-Life/dp/1541703286—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Season 26 of the Building Better Developers podcast is all about Building Better Foundations. In Episode 2, hosts Rob Broadhead and Michael Meloche explore today's most flexible coding options—no-code, low-code, and a rising trend called vibe coding. Understanding Modern Coding Options Software creation no longer requires writing every line by hand. Today's coding options range from drag-and-drop builders to AI-generated code, giving teams new ways to move quickly from idea to launch. No-Code Coding Options for Rapid Builds No-code platforms enable you to assemble applications visually using pre-built components and workflows—ideal for creating landing pages, prototypes, or internal dashboards. The trade-offs for this coding option are scalability, security, and platform lock-in. Low-Code Coding Options for Integrated Workflows Low-code combines visual design with the ability to add custom logic where needed. Need email integration or payment processing? This coding option strikes a balance between speed and targeted customization. Even Excel with VBA macros fits here. Vibe Coding: The AI-Driven Coding Option Vibe coding utilizes large-language-model assistants, such as GitHub Copilot and ChatGPT, to generate code from natural language prompts. Treated like a junior developer, this coding option is powerful for prototypes and boilerplate but still requires human review and testing. Choosing the Right Coding Option Match project goals to the best coding option: Fast MVP or marketing site: No-code. Workflows that need integrations: Low-code. Quick prototypes or repetitive tasks: Vibe coding with code reviews. Scaling and Securing Your Coding Options Regardless of which coding option you start with, protect the future: Document architecture and dependencies early. Pin framework and library versions to avoid drift. Run security and performance tests with real data. Budget time for manual reviews—even when AI writes the code. Final Thoughts on Coding Options The expanding menu of coding options gives developers unprecedented flexibility. No-code speeds experiments, low-code balances speed with control, and vibe coding adds AI power. By understanding each approach's strengths and limits, you can launch quickly while building a foundation that lasts. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Developer Career Growth: Breaking Through Stagnation Dealing with Legacy Code: When to Let Go and Start Anew Code Refactoring: Maintaining Clean, Efficient Code The Developer Journey Videos – With Bonus Content Building Better Developers With AI Podcast Videos – With Bonus Content

Alex Natskovich is the Founder and CEO of MEV, LLC, a technology services firm that builds custom software and modernizes digital systems for life sciences, real estate, and pharma companies. With over 20 years in software engineering, he has led 200+ projects across diverse industries and specializes in distributed systems, cloud computing, and large-scale data processing. Under his leadership, MEV has delivered major projects for clients such as Cartier, Novo Nordisk, and Daiichi Sankyo. In this episode… Surviving economic chaos can forge an entrepreneurial spirit that thrives in uncertainty. What lessons can be drawn from growing up in a place where scarcity and improvisation are part of daily life, and how do those lessons translate into building successful teams and technology today? Alex Natskovich, a veteran software engineer and product leader, believes resilience and resourcefulness are the foundation of innovation. He shares how early hardships taught him to adapt quickly, think creatively, and focus on core values when hiring talent. From avoiding common product pitfalls, like untested assumptions and weak data privacy, to embracing AI tools such as GitHub Copilot and Fireflies for smarter development, his insights reveal how to build scalable, market-ready products. These experiences underscore the importance of aligning strategy, technology, and culture to win in competitive markets. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Alex Natskovich, Founder and CEO of MEV, to discuss how early-life resilience shaped his leadership in software development. He explores hiring based on core values over technical skills, lessons from guiding Hawaii Information Service's MLS platform overhaul, and the impact of AI on client expectations and product development.

The headline was kinda shocking

In this episode I talk with Joel Drapper about open source development, the joy of coding without constraints, AI tools like GitHub Copilot, and our shared discomfort with the phrase "duplication is better than the wrong abstraction." We explore abstraction, technical debt versus "technical poison," and our mutual search for high-quality work environments.Joel Drapper on LinkedInPhlexNonsense MonthlySaturnCI

With Windows 10's end-of-life looming, Paul and Leo dissect the real risks, questionable hardware requirements, and whether dumping old PCs in landfills is an acceptable trade-off for modern security. Plus, why is Apple finally buying up touchscreen displays for MacBooks after years of resistance, and what could that mean for the future of both Mac and Windows hardware? Windows Consumer Reports asks Microsoft to continue Windows 10 support Reminder: Windows 11 25H2 ISOs are available... x64 only, in Insider Preview. Arm version is from Dev channel and is a VHDX Dev (25H2) and Beta (24H2) - Copilot prompt in Click to Do, Prompt recommendations in Start, controller navigation for gaming handhelds, SCOOBE, agents in the Store, more Release Preview (24H2 AND 25H2) - Click to Do table detection, action tags, and Summarize improvements; agent in Settings improvements, Hardware indicator improvements, more Quick Machine Recovery is a solid addition to your recovery toolbox Microsoft releases Windows 365 Cloud Apps in Preview A MacBook with a touch screen? Oh the irony Microsoft 365 Microsoft finally settles Teams antitrust case with EU and you're not going to believe what happens next Microsoft 365 desktop apps (i.e. "Office") gets Copilot chat even for free - Web grounded? That's ungrounded, right? Microsoft 365 commercial pulls in previously separate sales, service, and financial services Outlook Lite is heading off to a farm to chase rabbits No more Office file editing in Microsoft 365 Copilot app for iPhone and iPad AI OpenAI and Microsoft hint at another major restructuring of their partnership Auto AI model selection comes to Visual Studio Code. Your orchestration is showing Visual Studio 2026 on .NET Rocks and the recent news about configuring GitHub Copilot in VS 20xx. Hardware October is going to be a big month for new hardware Apple rumored for October Google Home on October 1 with Gemini Amazon devices (September 30, close enough) Where are the next-gen PC chips? Xbox & games Third-party store integration comes to Xbox app on Windows Microsoft kicks off another big half month for Xbox Game Pass Epic Games can't stop beating Google in court Tips & Picks Tip of the week: Improve Windows 11 security App pick of the week: Google app for Windows Hosts: Leo Laporte and Paul Thurrott Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: uscloud.com helixsleep.com/twit

With Windows 10's end-of-life looming, Paul and Leo dissect the real risks, questionable hardware requirements, and whether dumping old PCs in landfills is an acceptable trade-off for modern security. Plus, why is Apple finally buying up touchscreen displays for MacBooks after years of resistance, and what could that mean for the future of both Mac and Windows hardware? Windows Consumer Reports asks Microsoft to continue Windows 10 support Reminder: Windows 11 25H2 ISOs are available... x64 only, in Insider Preview. Arm version is from Dev channel and is a VHDX Dev (25H2) and Beta (24H2) - Copilot prompt in Click to Do, Prompt recommendations in Start, controller navigation for gaming handhelds, SCOOBE, agents in the Store, more Release Preview (24H2 AND 25H2) - Click to Do table detection, action tags, and Summarize improvements; agent in Settings improvements, Hardware indicator improvements, more Quick Machine Recovery is a solid addition to your recovery toolbox Microsoft releases Windows 365 Cloud Apps in Preview A MacBook with a touch screen? Oh the irony Microsoft 365 Microsoft finally settles Teams antitrust case with EU and you're not going to believe what happens next Microsoft 365 desktop apps (i.e. "Office") gets Copilot chat even for free - Web grounded? That's ungrounded, right? Microsoft 365 commercial pulls in previously separate sales, service, and financial services Outlook Lite is heading off to a farm to chase rabbits No more Office file editing in Microsoft 365 Copilot app for iPhone and iPad AI OpenAI and Microsoft hint at another major restructuring of their partnership Auto AI model selection comes to Visual Studio Code. Your orchestration is showing Visual Studio 2026 on .NET Rocks and the recent news about configuring GitHub Copilot in VS 20xx. Hardware October is going to be a big month for new hardware Apple rumored for October Google Home on October 1 with Gemini Amazon devices (September 30, close enough) Where are the next-gen PC chips? Xbox & games Third-party store integration comes to Xbox app on Windows Microsoft kicks off another big half month for Xbox Game Pass Epic Games can't stop beating Google in court Tips & Picks Tip of the week: Improve Windows 11 security App pick of the week: Google app for Windows Hosts: Leo Laporte and Paul Thurrott Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: uscloud.com helixsleep.com/twit

With Windows 10's end-of-life looming, Paul and Leo dissect the real risks, questionable hardware requirements, and whether dumping old PCs in landfills is an acceptable trade-off for modern security. Plus, why is Apple finally buying up touchscreen displays for MacBooks after years of resistance, and what could that mean for the future of both Mac and Windows hardware? Windows Consumer Reports asks Microsoft to continue Windows 10 support Reminder: Windows 11 25H2 ISOs are available... x64 only, in Insider Preview. Arm version is from Dev channel and is a VHDX Dev (25H2) and Beta (24H2) - Copilot prompt in Click to Do, Prompt recommendations in Start, controller navigation for gaming handhelds, SCOOBE, agents in the Store, more Release Preview (24H2 AND 25H2) - Click to Do table detection, action tags, and Summarize improvements; agent in Settings improvements, Hardware indicator improvements, more Quick Machine Recovery is a solid addition to your recovery toolbox Microsoft releases Windows 365 Cloud Apps in Preview A MacBook with a touch screen? Oh the irony Microsoft 365 Microsoft finally settles Teams antitrust case with EU and you're not going to believe what happens next Microsoft 365 desktop apps (i.e. "Office") gets Copilot chat even for free - Web grounded? That's ungrounded, right? Microsoft 365 commercial pulls in previously separate sales, service, and financial services Outlook Lite is heading off to a farm to chase rabbits No more Office file editing in Microsoft 365 Copilot app for iPhone and iPad AI OpenAI and Microsoft hint at another major restructuring of their partnership Auto AI model selection comes to Visual Studio Code. Your orchestration is showing Visual Studio 2026 on .NET Rocks and the recent news about configuring GitHub Copilot in VS 20xx. Hardware October is going to be a big month for new hardware Apple rumored for October Google Home on October 1 with Gemini Amazon devices (September 30, close enough) Where are the next-gen PC chips? Xbox & games Third-party store integration comes to Xbox app on Windows Microsoft kicks off another big half month for Xbox Game Pass Epic Games can't stop beating Google in court Tips & Picks Tip of the week: Improve Windows 11 security App pick of the week: Google app for Windows Hosts: Leo Laporte and Paul Thurrott Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: uscloud.com helixsleep.com/twit

With Windows 10's end-of-life looming, Paul and Leo dissect the real risks, questionable hardware requirements, and whether dumping old PCs in landfills is an acceptable trade-off for modern security. Plus, why is Apple finally buying up touchscreen displays for MacBooks after years of resistance, and what could that mean for the future of both Mac and Windows hardware? Windows Consumer Reports asks Microsoft to continue Windows 10 support Reminder: Windows 11 25H2 ISOs are available... x64 only, in Insider Preview. Arm version is from Dev channel and is a VHDX Dev (25H2) and Beta (24H2) - Copilot prompt in Click to Do, Prompt recommendations in Start, controller navigation for gaming handhelds, SCOOBE, agents in the Store, more Release Preview (24H2 AND 25H2) - Click to Do table detection, action tags, and Summarize improvements; agent in Settings improvements, Hardware indicator improvements, more Quick Machine Recovery is a solid addition to your recovery toolbox Microsoft releases Windows 365 Cloud Apps in Preview A MacBook with a touch screen? Oh the irony Microsoft 365 Microsoft finally settles Teams antitrust case with EU and you're not going to believe what happens next Microsoft 365 desktop apps (i.e. "Office") gets Copilot chat even for free - Web grounded? That's ungrounded, right? Microsoft 365 commercial pulls in previously separate sales, service, and financial services Outlook Lite is heading off to a farm to chase rabbits No more Office file editing in Microsoft 365 Copilot app for iPhone and iPad AI OpenAI and Microsoft hint at another major restructuring of their partnership Auto AI model selection comes to Visual Studio Code. Your orchestration is showing Visual Studio 2026 on .NET Rocks and the recent news about configuring GitHub Copilot in VS 20xx. Hardware October is going to be a big month for new hardware Apple rumored for October Google Home on October 1 with Gemini Amazon devices (September 30, close enough) Where are the next-gen PC chips? Xbox & games Third-party store integration comes to Xbox app on Windows Microsoft kicks off another big half month for Xbox Game Pass Epic Games can't stop beating Google in court Tips & Picks Tip of the week: Improve Windows 11 security App pick of the week: Google app for Windows Hosts: Leo Laporte and Paul Thurrott Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: uscloud.com helixsleep.com/twit

The U.S. version of TikTok may continue to use the Chines version of the Algorithm, a U.S. Court of Appeals denied Google’s request to pause Play Store reforms, and Microsoft is integrating Anthropic’s Claude Sonnet 4 into Visual Studio Code for GitHub Copilot. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. AContinue reading "The US Version of TikTok May Continue To Use The Chinese Algorithm – DTH"

This week on Azure Friday, Scott Hanselman meets with Jan Kalis to demo Azure Code Optimizations for .NET. See how Azure's AI-driven capabilities help you find real-world performance issues in your apps, ground Copilot suggestions with production data, and even help auto-generate PRs with benchmarked code fixes with GitHub Copilot software agent. Watch the live demo and learn how to level up your .NET performance using insights for your running .NET applications on Azure! Chapters 00:00 - Introduction 00:32 - See how Code Optimizations helps improve app performance 03:00 - Demo – part 1 – Review your Code Optimizations on Azure portal 06:20 - Demo – part 2 – Optimize code with GH Copilot for Azure in VS Code 10:16 - Demo – part 3 – Move faster from insights to PR with GH Copilot software agent Recommended resources Check your Code Optimizations recommendations Documentation Feedback Connect Scott Hanselman | Twitter/X: @SHanselman Jan Kalis | LinkedIn: Jan Kalis Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Protesters take over Microsoft's Building 34, objecting to the company's technology being allegedly used by Israel. Is it more than simply cybersecurity usage, and how is Microsoft handling employee activism? In other news, Gemini suddenly vaults to the front of AI image editing capability, and the OG Gears of War has been remastered at least twice (but now it's cross-platform). Windows 11 Resume from your (Android) phone in testing in Dev and Beta channels Copilot app gets semantic search and new home page across all Insider channels 25H2 feature focus: Administrator Protection probably works but it's more disruptive than even UAC was Windows 11 gets a nice Bluetooth quality update Parallels Desktop 26 for Mac is out, but it's a minor update for individuals Microsoft 365 Microsoft to fix one of the biggest issues with Word Reminder: OneNote for Windows 10 hits EOL in October AI Apple's AI floundering continues as it considers a Perplexity or Mistral acquisition And tests a Gemini AI model for Siri in-house Perplexity offers a $5 per month Comet Plus subscription that pays content makers Anthropic sort of brings Claude extension to Chrome NotebookLM audio and video overviews are now available in over 80 languages And AI Mode is now available in Search in over 180 countries Norton's AI web browser gets off to a rough start Proton Lumo gets a big update Rant: The real problem with the Windows 2030 talk, and why everyone (on both sides) is wrong about AI Dev Microsoft lets Visual Studio devs tune-down GitHub Copilot, finally Microsoft makes some progress with improving Windows App SDK, supposedly Xbox and gaming Xbox Cloud Gaming expands to Xbox Game Pass Core Standard, adds PC games for the first time Steam and other stores come to Xbox app on PC Activision says it will reverse some of the stupidity it introduced in Call of Duty: Black Ops 6 Nintendo invented the 30 percent fee that's still common today in digital app/game stores, but when it did so, the fee actually made sense... and it still does today, but only for the videogame industry Tips & Picks Tip of the week: Edit images with Gemini Tip of the week: Subscribe to Chris's new newsletter, The Windows ReadMe App pick of the week: Gears of War App pick of the week: NVIDIA Broadcast app Hosts: Leo Laporte and Paul Thurrott Guest: Chris Hoffman Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: cachefly.com/twit

Protesters take over Microsoft's Building 34, objecting to the company's technology being allegedly used by Israel. Is it more than simply cybersecurity usage, and how is Microsoft handling employee activism? In other news, Gemini suddenly vaults to the front of AI image editing capability, and the OG Gears of War has been remastered at least twice (but now it's cross-platform). Windows 11 Resume from your (Android) phone in testing in Dev and Beta channels Copilot app gets semantic search and new home page across all Insider channels 25H2 feature focus: Administrator Protection probably works but it's more disruptive than even UAC was Windows 11 gets a nice Bluetooth quality update Parallels Desktop 26 for Mac is out, but it's a minor update for individuals Microsoft 365 Microsoft to fix one of the biggest issues with Word Reminder: OneNote for Windows 10 hits EOL in October AI Apple's AI floundering continues as it considers a Perplexity or Mistral acquisition And tests a Gemini AI model for Siri in-house Perplexity offers a $5 per month Comet Plus subscription that pays content makers Anthropic sort of brings Claude extension to Chrome NotebookLM audio and video overviews are now available in over 80 languages And AI Mode is now available in Search in over 180 countries Norton's AI web browser gets off to a rough start Proton Lumo gets a big update Rant: The real problem with the Windows 2030 talk, and why everyone (on both sides) is wrong about AI Dev Microsoft lets Visual Studio devs tune-down GitHub Copilot, finally Microsoft makes some progress with improving Windows App SDK, supposedly Xbox and gaming Xbox Cloud Gaming expands to Xbox Game Pass Core Standard, adds PC games for the first time Steam and other stores come to Xbox app on PC Activision says it will reverse some of the stupidity it introduced in Call of Duty: Black Ops 6 Nintendo invented the 30 percent fee that's still common today in digital app/game stores, but when it did so, the fee actually made sense... and it still does today, but only for the videogame industry Tips & Picks Tip of the week: Edit images with Gemini Tip of the week: Subscribe to Chris's new newsletter, The Windows ReadMe App pick of the week: Gears of War App pick of the week: NVIDIA Broadcast app Hosts: Leo Laporte and Paul Thurrott Guest: Chris Hoffman Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: cachefly.com/twit

Obvious: ChatGPT's GPT-5 is here and it's really good.Not so obvious: the gap between novice and experts just shrunk 90%. In a short few hours, OpenAI gave even free users access to now the world's most powerful model. As the most used AI chatbot in the world by a wide margin, the quality work we all produce has also just gotten a huge bump. But there's a lot beneath the surface. Join us as we dissect what's new in GPT-5 and 7 big trends you probably don't know but should pay attention to. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GPT-5 Official Release OverviewGPT-5 User Rollout to 700 MillionGPT-5 Unified Hybrid Model ArchitectureAuto Model Switching and User ControlMajor Upgrade for Free ChatGPT UsersGPT-5 Benchmark and Accuracy ImprovementsGPT-5 Vibe Coding and Canvas FeaturesAdvanced Voice Mode in Custom GPTsReduced Hallucinations and SycophancyMicrosoft Copilot Instant GPT-5 UpgradeImpact on Enterprise Software and APIsGPT-5 Disruptive API Pricing StructureTrends in Corporate AI AdoptionTimestamps:00:00 "Everyday AI Insights"05:54 "Adaptive Model Response Modes"08:14 GPT4O Model Critique11:17 GPT4O Nano Upgrade Impact17:26 GPT Model Selection Simplified20:53 Canvas Code Rendering and Quick Answer Feature24:09 "GPT5 Model Routing Overview"26:44 "GPT-5: Your New Daily Driver"30:08 AI Model Advances: Game-Changing Improvements33:43 Advanced Voice Mode in GPTs37:45 Massive Microsoft Copilot Upgrade38:49 Software Access and Licensing Challenges43:09 AI Implementation Challenges in Top Companies46:37 "GPT-5 Testing and Trends"Keywords:GPT-5, GPT5, OpenAI, AI model update, Large Language Model, flagship model, hybrid model, AI technology, model auto-switching, deep thinking mode, fast response mode, model router, free AI access, paid ChatGPT users, ChatGPT free users, model selection, GPT-4O, GPT-4 Turbo, model reasoning, hallucination rate, sycophancy reduction, advanced voice mode, GPTs custom models, Canvas mode, Vibe coding, API pricing, API tokens, Microsoft Copilot, Microsoft 365 Copilot, GitHub Copilot, enterprise AI upgrade, LM arena, ELO score, Anthropic, Claude 4.1, Claude Sonnet, Gemini 2.5 Pro, personalized AI assistant, software innovation, coding capabilities, Inc 5000 companies, enterprise adoption, custom instructions, Pro plan, Plus plan, thinking mode, human preference, automated rSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

This is Alex Heath, deputy editor at The Verge. My guest today is GitHub CEO Thomas Dohmke. In many ways, GitHub Copilot set off the current AI coding boom. But since Thomas was on the show a year ago, the rise of vibe coding has shifted the buzz to newer platforms like Cursor and Windsurf. As you'll hear in our conversation, Thomas is thinking a lot about the competition, and GitHub's role in the future of software development.  Links: Developers, Reinvented | Thomas Dohmke / GitHub Developer Odyssey | Thomas Dohmke / GitHub Why tech is racing to adopt AI coding, with Cursor's Michael Truell | Decoder GitHub CEO Thomas Dohmke says AI needs competition to thrive | ⁠⁠Decoder⁠⁠ Up to 30 percent of some Microsoft code is now written by AI | Verge GitHub launches its AI app-making tool in preview | Verge Microsoft is getting ready for GPT-5 with a new Copilot smart mode | Verge Zuckerberg: AI will write most Meta code within 18 months | Engadget Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Our producers are Kate Cox and Nick Statt. This episode was edited by Xander Adams. The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices