Podcasts about Uis

Modern computers are faster than ever, yet much of our software feels slower, heavier, and more frustrating to use. In this episode of Hanselminutes, Scott talks with Vjekoslav Krajačić, creator of File Pilot, about bringing speed and responsiveness back to everyday tools.Vjekoslav built File Pilot as a reaction to bloated file managers and laggy interfaces, focusing on instant feedback, keyboard-first workflows, and a UI that feels immediate. We talk about what actually makes software feel fast, why modern frameworks often work against that goal, and how users instinctively know when an app respects their time.This is a conversation about restraint, craft, and why fast UIs still matter.https://filepilot.tech

One year ago, Anthropic launched the Model Context Protocol (MCP)—a simple, open standard to connect AI applications to the data and tools they need. Today, MCP has exploded from a local-only experiment into the de facto protocol for agentic systems, adopted by OpenAI, Microsoft, Google, Block, and hundreds of enterprises building internal agents at scale. And now, MCP is joining the newly formed Agentic AI Foundation (AAIF) under the Linux Foundation, alongside Block's Goose coding agent, with founding members spanning the biggest names in AI and cloud infrastructure. We sat down with David Soria Parra (MCP lead, Anthropic), Nick Cooper (OpenAI), Brad Howes (Block / Goose), and Jim Zemlin (Linux Foundation CEO) to dig into the one-year journey of MCP—from Thanksgiving hacking sessions and the first remote authentication spec to long-running tasks, MCP Apps, and the rise of agent-to-agent communication—and the behind-the-scenes story of how three competitive AI labs came together to donate their protocols and agents to a neutral foundation, why enterprises are deploying MCP servers faster than anyone expected (most of it invisible, internal, and at massive scale), what it takes to design a protocol that works for both simple tool calls and complex multi-agent orchestration, how the foundation will balance taste-making (curating meaningful projects) with openness (avoiding vendor lock-in), and the 2025 vision: MCP as the communication layer for asynchronous, long-running agents that work while you sleep, discover and install their own tools, and unlock the next order of magnitude in AI productivity. We discuss: The one-year MCP journey: from local stdio servers to remote HTTP streaming, OAuth 2.1 authentication (and the enterprise lessons learned), long-running tasks, and MCP Apps (iframes for richer UI) Why MCP adoption is exploding internally at enterprises: invisible, internal servers connecting agents to Slack, Linear, proprietary data, and compliance-heavy workflows (financial services, healthcare) The authentication evolution: separating resource servers from identity providers, dynamic client registration, and why the March spec wasn't enterprise-ready (and how June fixed it) How Anthropic dogfoods MCP: internal gateway, custom servers for Slack summaries and employee surveys, and why MCP was born from "how do I scale dev tooling faster than the company grows?" Tasks: the new primitive for long-running, asynchronous agent operations—why tools aren't enough, how tasks enable deep research and agent-to-agent handoffs, and the design choice to make tasks a "container" (not just async tools) MCP Apps: why iframes, how to handle styles and branding, seat selection and shopping UIs as the killer use case, and the collaboration with OpenAI to build a common standard The registry problem: official registry vs. curated sub-registries (Smithery, GitHub), trust levels, model-driven discovery, and why MCP needs "npm for agents" (but with signatures and HIPAA/financial compliance) The founding story of AAIF: how Anthropic, OpenAI, and Block came together (spoiler: they didn't know each other were talking to Linux Foundation), why neutrality matters, and how Jim Zemlin has never seen this much day-one inbound interest in 22 years — David Soria Parra (Anthropic / MCP) MCP: https://modelcontextprotocol.io https://uk.linkedin.com/in/david-soria-parra-4a78b3a https://x.com/dsp_ Nick Cooper (OpenAI) X: https://x.com/nicoaicopr Brad Howes (Block / Goose) Goose: https://github.com/block/goose Jim Zemlin (Linux Foundation) LinkedIn: https://www.linkedin.com/in/zemlin/ Agentic AI Foundation https://agenticai.foundation Chapters 00:00:00 Introduction: MCP's First Year and Foundation Launch 00:01:17 MCP's Journey: From Launch to Industry Standard 00:02:06 Protocol Evolution: Remote Servers and Authentication 00:08:52 Enterprise Authentication and Financial Services 00:11:42 Transport Layer Challenges: HTTP Streaming and Scalability 00:15:37 Standards Development: Collaboration with Tech Giants 00:34:27 Long-Running Tasks: The Future of Async Agents 00:30:41 Discovery and Registries: Building the MCP Ecosystem 00:30:54 MCP Apps and UI: Beyond Text Interfaces 00:26:55 Internal Adoption: How Anthropic Uses MCP 00:23:15 Skills vs MCP: Complementary Not Competing 00:36:16 Community Events and Enterprise Learnings 01:03:31 Foundation Formation: Why Now and Why Together 01:07:38 Linux Foundation Partnership: Structure and Governance 01:11:13 Goose as Reference Implementation 01:17:28 Principles Over Roadmaps: Composability and Quality 01:21:02 Foundation Value Proposition: Why Contribute 01:27:49 Practical Investments: Events, Tools, and Community 01:34:58 Looking Ahead: Async Agents and Real Impact

PowerShell legend Jeff Hicks joins The PowerShell Podcast to talk about what it really means to live in PowerShell every day. From running his entire workflow in the console to building highly polished terminal tools, Jeff shares how PowerShell can be used far beyond infrastructure management—to organize your day, automate personal tasks, and multiply productivity. The conversation also dives deep into learning PowerShell long-term, embracing small wins, investing in your own career growth, and making yourself “available to luck.” Jeff introduces his newest project, PSIntro, designed to help absolute beginners get started with PowerShell through interactive, localized tutorials and a welcoming splash experience.   Key Takeaways: PowerShell fluency comes from time and repetition, not talent. Use it daily, even for small personal tasks, and progress will follow. PowerShell is a force multiplier. Thoughtful use of color, terminal UIs, verbose output, and helper functions can dramatically improve productivity. Investing in your own learning outside of work gives you career freedom. Your job is not your career—your skills are. Guest Bio: Jeff Hicks is a PowerShell author, educator, and community icon with nearly two decades of experience teaching automation to IT professionals. A long-time Microsoft MVP, Jeff has written multiple books, created countless tools and modules, and spoken at conferences around the world. Known for his practical approach and passion for teaching, Jeff continues to shape how people learn, use, and think about PowerShell.   Resource Links: Jeff Links - https://jdhitsolutions.github.io/ PSIntro Project – https://github.com/jdhitsolutions/PSIntro Spectre.Console for PowerShell – https://pwshspectreconsole.com/ PowerShell Summit – https://powershellsummit.org PDQ Discord – https://discord.gg/PDQ PowerShell Wednesdays – https://www.youtube.com/watch?v=ztKT2wK6EW4&list=PL1mL90yFExsix-L0havb8SbZXoYRPol0B&pp=gAQB The PowerShell Podcast on YouTube: https://youtu.be/lKKfmdDtBOU

Russ Mashmeyer's journey from fine art student to Meta's AI Product Design Director reveals the unexpected connections between creativity and code. Growing up in suburban Georgia where "everything was new," Russ found himself drawn to New York's layers of history, studying fine art at NYU before joining a touring indie band called The XYZ Affair. What began as building Flash websites for his band evolved into a career defining how we interact with technology.~ Now leading Meta's Pathfinding team, he explores rapid prototyping of AI-powered products, helping designers and creators understand AI not as a replacement for human creativity but as an accelerant for bridging skill gaps.Russ brings a unique perspective to AI development, viewing it through the lens of cultural history—from photography's disruption of fine art to desktop publishing's transformation of graphic design. He argues that AI models deliver "mediocre, average expected results" by design, making human taste, perspective, and cultural awareness more essential than ever. Key TakeawaysSoftware as artistic medium requires the same creative intuition as traditional fine art, just expressed through different tools and faster feedback loopsThe best preparation for emerging fields is developing insatiable curiosity about how things work rather than mastering specific technical skillsCultural and historical context matters more than ever in AI development—understanding what resonated with people before helps predict what will matter nextAI models are designed to produce average results, making human taste, lived perspective, and cultural relevance the differentiating factors in creative work"Naïve optimism"—the mindset of "how hard could it be?"—is essential for innovation, especially in spaces where no one is an expert yetChildren benefit enormously from watching adults play, fail with smiles, and create together, normalizing creativity as a lifelong practiceEvery major technological shift creates cultural upheaval, but society consistently figures out how to metabolize new tools and elevate them to art formsThe most powerful use of AI raises the floor of competence in areas where you have skill gaps while you remain exceptional in your core strengthsTreating your first band like a startup teaches essential lessons about entrepreneurialism, feedback loops, and creating products people loveNew technology succeeds when it serves human intent rather than replacing human creativity, becoming a tool that unlocks what people inherently want to doBuilding in public fields where no one is an expert yet levels the playing field—depth of historical knowledge matters more than technical seniorityThe transition from planning perfect UIs in Figma to sculpting functional prototypes with AI represents a fundamental shift from drawing to three-dimensional creationEmergent capabilities in AI models—features that weren't explicitly designed—mirror how creative misuse of instruments led to entirely new musical genres Daring Creativity. Daring Forever. Podcast with Radim Malinic daringcreativity.com | desk@daringcreativity.com Books by Radim Malinic Paperback and Kindle > https://amzn.to/4biTwFcFree audiobook (with Audible trial) > https://geni.us/free-audiobookBook bundles https://novemberuniverse.co.ukLux Coffee Co. https://luxcoffee.co.uk/ (Use: PODCAST for 15% off)November Universe https://novemberuniverse.co.uk (Use: PODCAST for 10% off)

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/

What if understanding your codebase was no longer a blocker for great testing? Most testers were trained to work around the code — clicking through UIs, guessing selectors, and relying on outdated docs or developer explanations. In this episode, Playwright expert Ben Fellows flip that model on its head. Using AI tools like Cursor, testers can now explore the codebase directly — asking questions, uncovering APIs, understanding data relationships, and spotting risk before a single test is written. This isn't about becoming a developer. It's about using AI to finally see how the system really works — and using that insight to test smarter, earlier, and with far more confidence. If you've ever joined a new team, inherited a legacy app, or struggled to understand what really changed in a release, this episode is for you. Registration for Automation Guild 2026 Now: https://testguild.me/podag26

Hey everyone, December started strong and does NOT want to slow down!? OpenAI showed us their response to the Code Red and it's GPT 5.2, which doesn't feel like a .1 upgrade! We got it literally as breaking news at the end of the show, and oh boy! The new kind of LLMs is here. GPT, then Gemini, then Opus and now GPT again... Who else feels like we're on a trippy AI rolercoaster? Just me?

On this episode of Crazy Wisdom, I, Stewart Alsop, sit down with Dax Raad, co-founder of OpenCode, for a wide-ranging conversation about open-source development, command-line interfaces, the rise of coding agents, how LLMs change software workflows, the tension between centralization and decentralization in tech, and even what it's like to push the limits of the terminal itself. We talk about the future of interfaces, fast-feedback programming, model switching, and why open-source momentum—especially from China—is reshaping the landscape. You can find Dax on Twitter and check an example of what can be done using OpenCode in this tweet.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop and Dax Raad open with the origins of OpenCode, the value of open source, and the long-tail problem in coding agents. 05:00 They explore why command line interfaces keep winning, the universality of the terminal, and early adoption of agentic workflows. 10:00 Dax explains pushing the terminal with TUI frameworks, rich interactions, and constraints that improve UX. 15:00 They contrast CLI vs. chat UIs, discuss voice-driven reviews, and refining prompt-review workflows. 20:00 Dax lays out fast feedback loops, slow vs. fast models, and why autonomy isn't the goal. 25:00 Conversation turns to model switching, open-source competitiveness, and real developer behavior. 30:00 They examine inference economics, Chinese open-source labs, and emerging U.S. efforts. 35:00 Dax breaks down incumbents like Google and Microsoft and why scale advantages endure. 40:00 They debate centralization vs. decentralization, choice, and the email analogy. 45:00 Stewart reflects on building products; Dax argues for healthy creative destruction. 50:00 Hardware talk emerges—Raspberry Pi, robotics, and LLMs as learning accelerators. 55:00 Dax shares insights on terminal internals, text-as-canvas rendering, and the elegance of the medium.Key InsightsOpen source thrives where the long tail matters. Dax explains that OpenCode exists because coding agents must integrate with countless models, environments, and providers. That complexity naturally favors open source, since a small team can't cover every edge case—but a community can. This creates a collaborative ecosystem where users meaningfully shape the tool.The command line is winning because it's universal, not nostalgic. Many misunderstand the surge of CLI-based AI tools, assuming it's aesthetic or retro. Dax argues it's simply the easiest, most flexible, least opinionated surface that works everywhere—from enterprise laptops to personal dev setups—making adoption frictionless.Terminal interfaces can be richer than assumed. The team is pushing TUI frameworks far beyond scrolling text, introducing mouse support, dialogs, hover states, and structured interactivity. Despite constraints, the terminal becomes a powerful “text canvas,” capable of UI complexity normally reserved for GUIs.Fast feedback loops beat “autonomous” long-running agents. Dax rejects the trend of hour-long AI tasks, viewing it as optimizing around model slowness rather than user needs. He prefers rapid iteration with faster models, reviewing diffs continuously, and reserving slower models only when necessary.Open-source LLMs are improving quickly—and economics matter. Many open models now approach the quality of top proprietary systems while being far cheaper and faster to serve. Because inference is capital-intensive, competition pushes prices down, creating real incentives for developers and companies to reconsider model choices.Centralization isn't the enemy—lack of choice is. Dax frames the landscape like email: centralized providers dominate through convenience and scale, but the open protocols underneath protect users' ability to choose alternatives. The real danger is ecosystems where leaving becomes impossible.LLMs dramatically expand what individuals can learn and build. Both Stewart and Dax highlight that AI enables people to tackle domains previously too opaque or slow to learn—from terminal internals to hardware tinkering. This accelerates creativity and lowers barriers, shifting agency back to small teams and individuals.

Pavan Davuluri only spoke at one Ignite 2025 session, and it did not deserve the hate he got. But what did he really say? Copilot is a front-end for apps and cloud AI services, agents are background processes. Apps in Windows need to become programmatic so AI and agents can control them. You are in control. You being IT and the user. These experiences are off by default, opt-in, and optional. This is the end of whatever BS argument anyone has about this stuff. Copilot Voice because AI is better when you babble and is often more natural than typing Key concept: Apps, CLIs, etc. expect exact commands, AI is all about intent, just do what I want, not exactly what I say. This is why, yes, people WILL want to talk to their PCs (and other devices) UIs for these new features will look/feel natural in Windows Search box in Taskbar is getting updated to orchestrate between local/web search and Copilot capabilities, including agents Agents will appear as app icons in Taskbar when fired, can be check in on, can post notifications for you to attend to Integration of M365 Copilot capabilities with Windows - Better together story, with things like Writing Assistance for every text box Accessibility updates thanks to AI - Fluid Dictation, which is what makes Copilot Voice make so much sense All the security, privacy, and IT management the audience expects Windows Insider Program Dev and Beta builds include Full Screen Experience on all PCs, new Notepad app, more Hardware - Earnings Lenovo PC business up 12 percent to $15.1 billion, 25.6 percent unit share HP up 4 percent to $14.6 billion, but job cuts for AI are coming Dell PC business up 3 percent to $1.41 billion AI and Stuff Microsoft releases local Fara-7B agentic model for computer use ChatGPT's new coding model is optimized for Windows Dear God, you must see Nano Banana Pro to understand Google's lead Google is bringing AirDrop to Android, starting with Pixel. This is what happens when regulators "force design changes on OS makers." Xbox and Gaming Xbox Cloud Gaming usage is up 45 percent YOY. Sure. What's 45 percent of 3 people? Xbox Cloud Gaming is adding per-game resolution settings, to 1440p for Game Pass Ultimate customers ROG Xbox Ally is getting default game profiles, in preview for 40 titles now Microsoft open sources the source code for Zork, Zork II, and Zork III New Chromebook buyers get one year of Nvidia GeForce NOW with Fast Pass Tips and Picks Tip of the week: Finding experts is more important than ever We live in the age of stupid. Find the smart and never let go Also, Xbox is having a good Black Friday sale Also: Perplexity Comet on Android RunAs Radio this week: Christmas Gifts for SysAdmins with Joey Snow and Rick Claus https://runasradio.com/Shows/Show/1012 Brown liquor pick of the week: Sidetrack Stone Whisky https://www.huskdistillers.com/shop/sidetrack-stone-whisky These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/960 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit cachefly.com/twit

Pavan Davuluri only spoke at one Ignite 2025 session, and it did not deserve the hate he got. But what did he really say? Copilot is a front-end for apps and cloud AI services, agents are background processes. Apps in Windows need to become programmatic so AI and agents can control them. You are in control. You being IT and the user. These experiences are off by default, opt-in, and optional. This is the end of whatever BS argument anyone has about this stuff. Copilot Voice because AI is better when you babble and is often more natural than typing Key concept: Apps, CLIs, etc. expect exact commands, AI is all about intent, just do what I want, not exactly what I say. This is why, yes, people WILL want to talk to their PCs (and other devices) UIs for these new features will look/feel natural in Windows Search box in Taskbar is getting updated to orchestrate between local/web search and Copilot capabilities, including agents Agents will appear as app icons in Taskbar when fired, can be check in on, can post notifications for you to attend to Integration of M365 Copilot capabilities with Windows - Better together story, with things like Writing Assistance for every text box Accessibility updates thanks to AI - Fluid Dictation, which is what makes Copilot Voice make so much sense All the security, privacy, and IT management the audience expects Windows Insider Program Dev and Beta builds include Full Screen Experience on all PCs, new Notepad app, more Hardware - Earnings Lenovo PC business up 12 percent to $15.1 billion, 25.6 percent unit share HP up 4 percent to $14.6 billion, but job cuts for AI are coming Dell PC business up 3 percent to $1.41 billion AI and Stuff Microsoft releases local Fara-7B agentic model for computer use ChatGPT's new coding model is optimized for Windows Dear God, you must see Nano Banana Pro to understand Google's lead Google is bringing AirDrop to Android, starting with Pixel. This is what happens when regulators "force design changes on OS makers." Xbox and Gaming Xbox Cloud Gaming usage is up 45 percent YOY. Sure. What's 45 percent of 3 people? Xbox Cloud Gaming is adding per-game resolution settings, to 1440p for Game Pass Ultimate customers ROG Xbox Ally is getting default game profiles, in preview for 40 titles now Microsoft open sources the source code for Zork, Zork II, and Zork III New Chromebook buyers get one year of Nvidia GeForce NOW with Fast Pass Tips and Picks Tip of the week: Finding experts is more important than ever We live in the age of stupid. Find the smart and never let go Also, Xbox is having a good Black Friday sale App pick of the week: Copilot Mode in Microsoft Edge Also: Perplexity Comet on Android RunAs Radio this week: Christmas Gifts for SysAdmins with Joey Snow and Rick Claus https://runasradio.com/Shows/Show/1012 Brown liquor pick of the week: Sidetrack Stone Whisky https://www.huskdistillers.com/shop/sidetrack-stone-whisky These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/960 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit cachefly.com/twit

Pavan Davuluri only spoke at one Ignite 2025 session, and it did not deserve the hate he got. But what did he really say? Copilot is a front-end for apps and cloud AI services, agents are background processes. Apps in Windows need to become programmatic so AI and agents can control them. You are in control. You being IT and the user. These experiences are off by default, opt-in, and optional. This is the end of whatever BS argument anyone has about this stuff. Copilot Voice because AI is better when you babble and is often more natural than typing Key concept: Apps, CLIs, etc. expect exact commands, AI is all about intent, just do what I want, not exactly what I say. This is why, yes, people WILL want to talk to their PCs (and other devices) UIs for these new features will look/feel natural in Windows Search box in Taskbar is getting updated to orchestrate between local/web search and Copilot capabilities, including agents Agents will appear as app icons in Taskbar when fired, can be check in on, can post notifications for you to attend to Integration of M365 Copilot capabilities with Windows - Better together story, with things like Writing Assistance for every text box Accessibility updates thanks to AI - Fluid Dictation, which is what makes Copilot Voice make so much sense All the security, privacy, and IT management the audience expects Windows Insider Program Dev and Beta builds include Full Screen Experience on all PCs, new Notepad app, more Hardware - Earnings Lenovo PC business up 12 percent to $15.1 billion, 25.6 percent unit share HP up 4 percent to $14.6 billion, but job cuts for AI are coming Dell PC business up 3 percent to $1.41 billion AI and Stuff Microsoft releases local Fara-7B agentic model for computer use ChatGPT's new coding model is optimized for Windows Dear God, you must see Nano Banana Pro to understand Google's lead Google is bringing AirDrop to Android, starting with Pixel. This is what happens when regulators "force design changes on OS makers." Xbox and Gaming Xbox Cloud Gaming usage is up 45 percent YOY. Sure. What's 45 percent of 3 people? Xbox Cloud Gaming is adding per-game resolution settings, to 1440p for Game Pass Ultimate customers ROG Xbox Ally is getting default game profiles, in preview for 40 titles now Microsoft open sources the source code for Zork, Zork II, and Zork III New Chromebook buyers get one year of Nvidia GeForce NOW with Fast Pass Tips and Picks Tip of the week: Finding experts is more important than ever We live in the age of stupid. Find the smart and never let go Also, Xbox is having a good Black Friday sale App pick of the week: Copilot Mode in Microsoft Edge Also: Perplexity Comet on Android RunAs Radio this week: Christmas Gifts for SysAdmins with Joey Snow and Rick Claus https://runasradio.com/Shows/Show/1012 Brown liquor pick of the week: Sidetrack Stone Whisky https://www.huskdistillers.com/shop/sidetrack-stone-whisky These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/960 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit cachefly.com/twit

Pavan Davuluri only spoke at one Ignite 2025 session, and it did not deserve the hate he got. But what did he really say? Copilot is a front-end for apps and cloud AI services, agents are background processes. Apps in Windows need to become programmatic so AI and agents can control them. You are in control. You being IT and the user. These experiences are off by default, opt-in, and optional. This is the end of whatever BS argument anyone has about this stuff. Copilot Voice because AI is better when you babble and is often more natural than typing Key concept: Apps, CLIs, etc. expect exact commands, AI is all about intent, just do what I want, not exactly what I say. This is why, yes, people WILL want to talk to their PCs (and other devices) UIs for these new features will look/feel natural in Windows Search box in Taskbar is getting updated to orchestrate between local/web search and Copilot capabilities, including agents Agents will appear as app icons in Taskbar when fired, can be check in on, can post notifications for you to attend to Integration of M365 Copilot capabilities with Windows - Better together story, with things like Writing Assistance for every text box Accessibility updates thanks to AI - Fluid Dictation, which is what makes Copilot Voice make so much sense All the security, privacy, and IT management the audience expects Windows Insider Program Dev and Beta builds include Full Screen Experience on all PCs, new Notepad app, more Hardware - Earnings Lenovo PC business up 12 percent to $15.1 billion, 25.6 percent unit share HP up 4 percent to $14.6 billion, but job cuts for AI are coming Dell PC business up 3 percent to $1.41 billion AI and Stuff Microsoft releases local Fara-7B agentic model for computer use ChatGPT's new coding model is optimized for Windows Dear God, you must see Nano Banana Pro to understand Google's lead Google is bringing AirDrop to Android, starting with Pixel. This is what happens when regulators "force design changes on OS makers." Xbox and Gaming Xbox Cloud Gaming usage is up 45 percent YOY. Sure. What's 45 percent of 3 people? Xbox Cloud Gaming is adding per-game resolution settings, to 1440p for Game Pass Ultimate customers ROG Xbox Ally is getting default game profiles, in preview for 40 titles now Microsoft open sources the source code for Zork, Zork II, and Zork III New Chromebook buyers get one year of Nvidia GeForce NOW with Fast Pass Tips and Picks Tip of the week: Finding experts is more important than ever We live in the age of stupid. Find the smart and never let go Also, Xbox is having a good Black Friday sale Also: Perplexity Comet on Android RunAs Radio this week: Christmas Gifts for SysAdmins with Joey Snow and Rick Claus https://runasradio.com/Shows/Show/1012 Brown liquor pick of the week: Sidetrack Stone Whisky https://www.huskdistillers.com/shop/sidetrack-stone-whisky These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/960 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit cachefly.com/twit

Pavan Davuluri only spoke at one Ignite 2025 session, and it did not deserve the hate he got. But what did he really say? Copilot is a front-end for apps and cloud AI services, agents are background processes. Apps in Windows need to become programmatic so AI and agents can control them. You are in control. You being IT and the user. These experiences are off by default, opt-in, and optional. This is the end of whatever BS argument anyone has about this stuff. Copilot Voice because AI is better when you babble and is often more natural than typing Key concept: Apps, CLIs, etc. expect exact commands, AI is all about intent, just do what I want, not exactly what I say. This is why, yes, people WILL want to talk to their PCs (and other devices) UIs for these new features will look/feel natural in Windows Search box in Taskbar is getting updated to orchestrate between local/web search and Copilot capabilities, including agents Agents will appear as app icons in Taskbar when fired, can be check in on, can post notifications for you to attend to Integration of M365 Copilot capabilities with Windows - Better together story, with things like Writing Assistance for every text box Accessibility updates thanks to AI - Fluid Dictation, which is what makes Copilot Voice make so much sense All the security, privacy, and IT management the audience expects Windows Insider Program Dev and Beta builds include Full Screen Experience on all PCs, new Notepad app, more Hardware - Earnings Lenovo PC business up 12 percent to $15.1 billion, 25.6 percent unit share HP up 4 percent to $14.6 billion, but job cuts for AI are coming Dell PC business up 3 percent to $1.41 billion AI and Stuff Microsoft releases local Fara-7B agentic model for computer use ChatGPT's new coding model is optimized for Windows Dear God, you must see Nano Banana Pro to understand Google's lead Google is bringing AirDrop to Android, starting with Pixel. This is what happens when regulators "force design changes on OS makers." Xbox and Gaming Xbox Cloud Gaming usage is up 45 percent YOY. Sure. What's 45 percent of 3 people? Xbox Cloud Gaming is adding per-game resolution settings, to 1440p for Game Pass Ultimate customers ROG Xbox Ally is getting default game profiles, in preview for 40 titles now Microsoft open sources the source code for Zork, Zork II, and Zork III New Chromebook buyers get one year of Nvidia GeForce NOW with Fast Pass Tips and Picks Tip of the week: Finding experts is more important than ever We live in the age of stupid. Find the smart and never let go Also, Xbox is having a good Black Friday sale App pick of the week: Copilot Mode in Microsoft Edge Also: Perplexity Comet on Android RunAs Radio this week: Christmas Gifts for SysAdmins with Joey Snow and Rick Claus https://runasradio.com/Shows/Show/1012 Brown liquor pick of the week: Sidetrack Stone Whisky https://www.huskdistillers.com/shop/sidetrack-stone-whisky These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/960 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit cachefly.com/twit

Pavan Davuluri only spoke at one Ignite 2025 session, and it did not deserve the hate he got. But what did he really say? Copilot is a front-end for apps and cloud AI services, agents are background processes. Apps in Windows need to become programmatic so AI and agents can control them. You are in control. You being IT and the user. These experiences are off by default, opt-in, and optional. This is the end of whatever BS argument anyone has about this stuff. Copilot Voice because AI is better when you babble and is often more natural than typing Key concept: Apps, CLIs, etc. expect exact commands, AI is all about intent, just do what I want, not exactly what I say. This is why, yes, people WILL want to talk to their PCs (and other devices) UIs for these new features will look/feel natural in Windows Search box in Taskbar is getting updated to orchestrate between local/web search and Copilot capabilities, including agents Agents will appear as app icons in Taskbar when fired, can be check in on, can post notifications for you to attend to Integration of M365 Copilot capabilities with Windows - Better together story, with things like Writing Assistance for every text box Accessibility updates thanks to AI - Fluid Dictation, which is what makes Copilot Voice make so much sense All the security, privacy, and IT management the audience expects Windows Insider Program Dev and Beta builds include Full Screen Experience on all PCs, new Notepad app, more Hardware - Earnings Lenovo PC business up 12 percent to $15.1 billion, 25.6 percent unit share HP up 4 percent to $14.6 billion, but job cuts for AI are coming Dell PC business up 3 percent to $1.41 billion AI and Stuff Microsoft releases local Fara-7B agentic model for computer use ChatGPT's new coding model is optimized for Windows Dear God, you must see Nano Banana Pro to understand Google's lead Google is bringing AirDrop to Android, starting with Pixel. This is what happens when regulators "force design changes on OS makers." Xbox and Gaming Xbox Cloud Gaming usage is up 45 percent YOY. Sure. What's 45 percent of 3 people? Xbox Cloud Gaming is adding per-game resolution settings, to 1440p for Game Pass Ultimate customers ROG Xbox Ally is getting default game profiles, in preview for 40 titles now Microsoft open sources the source code for Zork, Zork II, and Zork III New Chromebook buyers get one year of Nvidia GeForce NOW with Fast Pass Tips and Picks Tip of the week: Finding experts is more important than ever We live in the age of stupid. Find the smart and never let go Also, Xbox is having a good Black Friday sale App pick of the week: Copilot Mode in Microsoft Edge Also: Perplexity Comet on Android RunAs Radio this week: Christmas Gifts for SysAdmins with Joey Snow and Rick Claus https://runasradio.com/Shows/Show/1012 Brown liquor pick of the week: Sidetrack Stone Whisky https://www.huskdistillers.com/shop/sidetrack-stone-whisky These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/960 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit cachefly.com/twit

I sat down with James, the Boring Marketer, to stress-test Claude 4.5 Opus against Gemini 3 Pro for real-world coding and design work. Together we live-build and compare landing pages and clickable prototypes for an “EstateClear” probate-family dashboard, then zoom out into conversion copywriting frameworks, “elevated direct response” brand voice, and ad creative workflows. The episode is a practical walkthrough of how non-technical builders can go from idea → landing page → prototype → ads using modern AI tools without vibe-coded, low-converting sites.  Timestamps 00:00 – Intro 02:00 – Startup Idea: EstateClear 03:17 – Claude Opus 4.5 04:47 – Gemini 3.0 Pro 09:02 – Reviewing Opus' landing page 11:16 – Reviewing Gemini's version 12:17 – Comparing the two 17:29 – Reprompting Opus 4.5 and Gemini 19:02 – Google's vertically integrated stack (AI Studio, Anti-Gravity, TPUs, Workspace) 21:50 – Nano Banana Pro and ad creative experiments 27:35 – Opus 4.5 builds a clickable EstateClear prototype 31:38 – Gemini's prototype and comparing product depth 36:40 – Anti-Gravity + Nano Banana workflow for mockups and code 44:41 – Claude Skills Workflow and Best Practices 56:41 – Final Thoughts Key Points Claude 4.5 Opus can act like a senior engineer for non-technical builders when paired with a tight skill and tools setup. Conversion wins come more from “elevated direct response” copy and clear page architecture than from fancy visuals alone. Claude's front-end design skill meaningfully reduces “AI-looking” gradients and vibe-coded layouts, producing cleaner, production-grade UIs. Live tests show Opus 4.5 generates more refined layouts and deeper product thinking, while Gemini often injects clever AI product features. Google's integration of Anti-Gravity, Nano Banana, and AI Studio points to a powerful end-to-end environment for shipping and promoting products. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND JAMES ON SOCIAL X/Twitter: https://x.com/boringmarketer LinkedIn: https://www.linkedin.com/in/jadickerson/

On today's episode I stress-test Gemini 3.0 in Google AI Studio to see how good it really is as a designer, not just a code generator. Across the episode, I ask Gemini to redesign my personal website in a Windows XP–inspired style, build a restaurant analytics SaaS dashboard, and create a workout mobile app inspired by the “Brain Rot” app. Along the way, I experiment with prompts, visual annotations, and reference images to see how well Gemini takes feedback. By the end, he's rating each build. Timestamps 00:00 – Intro 00:54 – Personal Website 15:48 – SaaS 21:52 – Mobile App 26:35 – AntiGravity 27:17 – Final rating and takeaways Key Points Gemini 3.0 can now generate full, styled web and mobile UIs (not just “purple Tailwind vibe-coded” layouts) when given strong prompts and references. greg-take-02 A Windows XP–themed personal site, built from a screenshot and a short prompt, impresses Greg enough that he considers redoing his actual homepage. greg-take-02 Visual annotation inside Google AI Studio (drawing on the canvas and commenting) is a powerful way to refine icons, backgrounds, and layout without “speaking designer.” greg-take-02 A restaurant analytics SaaS dashboard (“Chef OS”) shows how combining Dribbble shots + Teenage Engineering hardware as references pushes Gemini toward more tactile, “real button” UI. greg-take-02 The “Gains” workout app, modeled on the Brain Rot app, demonstrates that AI can remix an existing product pattern into a new behavior-change app with streaks, goals, and a reactive mascot. greg-take-02 Greg's big takeaway: good ideas + taste + references + Gemini 3.0 let non-designers ship highly differentiated experiences, raising their odds of standing out. greg-take-02 The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Get our free Google Gemini bundle with our favorite prompts + workflows: https://clickhubspot.com/sce Ep. 380 Is Gemini 3 better than GPT-5? Kipp and Kieran dive into the seismic release of Gemini 3 and what it means for the future of marketing, search, and AI-driven business tools. Learn more on how Gemini's state-of-the-art multimodal reasoning unlocks custom interactive apps in search, why dynamic AI-generated UIs signal the end of the blue links era, and how marketers can leverage Gemini to automate research, customer insights, and content more effortlessly than ever before. Mentions Gemini 3 https://gemini.google.com/ ChatGPT 5 https://chat.chatbot.app/gpt5 Claude https://claude.ai/ Replit https://replit.com/ Lovable https://lovable.dev/ Fiverr https://www.fiverr.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Linda Schatz, Director of AKASA, explains the role of Clinical Documentation Integrity (CDI) specialists in ensuring accurate coding and bridging the gap between clinical documentation and specific, accurate codes to ensure proper reimbursement. The complexity of medical coding often leads to errors, which can be nearly eliminated by using AI to review 100% of patient encounters to identify inconsistencies and help CDI and coding professionals process more accurate claims quickly. Accurate documentation is important for hospital revenue, patient care quality, and perception of the hospital's performance. Linda explains, "Well, the old adage, if it isn't documented, it wasn't done. If the doctor uses incorrect or perfectly acceptable medical terminology, it doesn't translate into an appropriate code. You've heard the term UIs, this is years ago, right? Grandma had UTIs and died. In the coding world, that used to code for a simple UTI. So the hospitals are getting paid for a patient that took care of a UTI, when in reality that patient was septic. To the outside world, it looks like Grandma came to the hospital, something that could have been treated outpatient, and she died. So the public perception of quality is less. So not only is it revenue, it's quality, but ultimately it's delivering patient care."   "I'm an old nurse. I've been in this field for over 40 years. I've worked across the NICU, PICU, and adult ICU. I've worked in access hospitals to large academics and all the way through hospice. That's pretty unique as a nurse to have that big of a background. Then I became a CDS, or clinical documentation specialist, or integrity specialist, and learned the documentation and coding aspect." "Then I moved into the consulting role and worked with organizations and physicians all across this nation, helping them learn how to do this. And so you've got the clinical background, the coding background, and now I understand how generative AI works. And so while you're a new nurse, you're a horse, right? When we hear a heartbeat, we think of a horse, and after years, you earn your stripes and you become a zebra, and then you add all of these multiple areas of expertise, you become uniquely valuable as a pink zebra."  #AKASA #GenAI #CDI #RevenueCycleManagement akasa.com Listen to the podcast here

Linda Schatz, Director of AKASA, explains the role of Clinical Documentation Integrity (CDI) specialists in ensuring accurate coding and bridging the gap between clinical documentation and specific, accurate codes to ensure proper reimbursement. The complexity of medical coding often leads to errors, which can be nearly eliminated by using AI to review 100% of patient encounters to identify inconsistencies and help CDI and coding professionals process more accurate claims quickly. Accurate documentation is important for hospital revenue, patient care quality, and perception of the hospital's performance. Linda explains, "Well, the old adage, if it isn't documented, it wasn't done. If the doctor uses incorrect or perfectly acceptable medical terminology, it doesn't translate into an appropriate code. You've heard the term UIs, this is years ago, right? Grandma had UTIs and died. In the coding world, that used to code for a simple UTI. So the hospitals are getting paid for a patient that took care of a UTI, when in reality that patient was septic. To the outside world, it looks like Grandma came to the hospital, something that could have been treated outpatient, and she died. So the public perception of quality is less. So not only is it revenue, it's quality, but ultimately it's delivering patient care."   "I'm an old nurse. I've been in this field for over 40 years. I've worked across the NICU, PICU, and adult ICU. I've worked in access hospitals to large academics and all the way through hospice. That's pretty unique as a nurse to have that big of a background. Then I became a CDS, or clinical documentation specialist, or integrity specialist, and learned the documentation and coding aspect." "Then I moved into the consulting role and worked with organizations and physicians all across this nation, helping them learn how to do this. And so you've got the clinical background, the coding background, and now I understand how generative AI works. And so while you're a new nurse, you're a horse, right? When we hear a heartbeat, we think of a horse, and after years, you earn your stripes and you become a zebra, and then you add all of these multiple areas of expertise, you become uniquely valuable as a pink zebra."  #AKASA #GenAI #CDI #RevenueCycleManagement akasa.com Download the transcript here

Hey everyone, Alex here

Get a private, on-screen walkthrough of Google's new Gemini 3.0 with Logan Kilpatrick. We vibe-code full apps, games, and product UIs in real time. You'll see how to go from raw idea to working product in a single prompt, then iterate visually with design, features, and AI workflows. They turn an IdeaBrowser concept into a live talent-matching platform, screenshot-clone the IdeaBrowser UI, wire up a “generate tomorrow's idea” feature grounded in Google Search, and even add co-founder matching on top. If you're building with AI or still on the fence, this episode shows what's now possible with Gemini 3.0 Pro in AI Studio. Timestamps 00:00 – Intro 01:00 – What Gemini 3 is and where it lives (Gemini app, AI Studio, API) 03:03 – Vibe Coding 3D games 09:27 – Vibe Coding an idea from IdeaBrowser 25:02 – Screenshot-cloning the IdeaBrowser UI and regenerating it in Gemini Key Points Gemini 3.0 Pro in AI Studio lets you “vibe code” full apps—UI, logic, and AI features—from natural-language prompts, then iteratively refine them. Games and complex simulations are a stress-test and showcase for the model's capabilities, not just toys. You can paste an entire business idea (like IdeaBrowser's generational talent-matching concept) into AI Studio and get a working, multi-screen product with AI-powered workflows. Gemini 3.0 Pro is free to use inside AI Studio up to generous limits, and the API is priced at $2 per million input tokens and $12 per million output tokens under 200K input tokens. Screenshot-driven UI cloning plus “add five more features” prompts are powerful loops for product and UX ideation. You can layer social features like co-founder matching directly on top of idea-discovery products with only a few additional prompts. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LOGAN ON SOCIAL X/Twitter: https://x.com/OfficialLoganK  Youtube: https://www.youtube.com/@LoganKilpatrickYT  LinkedIn: https://www.linkedin.com/in/logankilpatrick/

In this episode of the HTML All The Things Podcast, Mike walks through the new web development tech that's been landing on his radar. From next-gen formatters and bundlers to emerging UI frameworks and terminal-UI toolkits, Mike breaks down what each tool is, why it matters, and where its limitations are today. In this episode Matt and Mike cover: BiomeJS - all-in-one formatter/linter with strong Prettier compatibility Ripple - an experimental TypeScript-first UI framework TanStack Start - a router-first full-stack framework for React/Solid Hono.js - tiny, blazing-fast multi-runtime web framework Rolldown - Rust-powered bundler with major Vite build speed gains Effect - type-safe effects/concurrency runtime for TypeScript OpenTUI - build rich terminal UIs using React/Solid renderers If you want a curated look at early-stage tools shaping how we might build for the web in 2025, Mike's got you covered. Show Notes: https://www.htmlallthethings.com/podcast/new-web-development-tech-thats-on-my-radar Powered by CodeRabbit - AI Code Reviews: https://coderabbit.link/htmlallthethings Use our Scrimba affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.

Dis weer tyd vir die 2025 Desert Ultra, aangebied deur Beyond the Ultimate. Dit vind in rondom Brandberg en Uis plaas en begin vandag in vyf fases wat 250 kilometer dek. Deelnemers moet selfversorgend wees en kry net waterbystand elke 10 kilometer. Alles wat hulle nodig het, insluitend slaapsakke, moet hulle self dra. Riana Scholtz neem weer deel en saam met haar is Naude Dreyer daar, vir sy tweede keer, Hannes Smit, ook sy tweede keer, Eamon Roberts en Zimbabwiër met Namibiese permanente verblyf, Pamela Vurayai. Scholtz, wat haar tweede Ultra doen, het meer.

Mike Hanson, CTO at Clockwise, joins the show to break down how our relationship with computers is changing as language based systems reshape expectations. We explore why natural storytelling feels so intuitive with today's AI tools, how context is becoming the new currency of great software, and why narrow AI is often more powerful than the industry hype suggests.This conversation gives tech leaders a grounded look at what is real, what is noise, and what is coming fast.Key Takeaways• Natural storytelling is becoming the default way people communicate with AI, and products must adjust to that shift.• Context is the driving force behind great interaction design and LLM powered systems now surface and use context at a scale traditional UIs never could.• Most real world gains come from narrow AI that solves focused everyday problems, not from broad AGI promises.• Multi agent systems and multiplayer coordination are emerging as the next frontier for enterprise AI.• The biggest risk is not model weakness but user uncertainty about when an answer is trustworthy.Timestamped Highlights01:21 What Clockwise is building with its scheduling brain and how natural language creates new value04:13 Why humans default to storytelling and how LLMs finally make that instinct useful08:00 The rising expectation that software should understand context the way people do12:13 The shift away from feed centric design and toward multi person coordination in AI systems17:31 Why narrow AI delivers real value while wide AI often creates anxiety23:52 A real world example of how AI can remove busy work by orchestrating tasks across tools26:24 Why we do not need AGI to meaningfully improve everyday productivityA standout thoughtPeople have always tried to talk to computers in a natural way. The difference now is that the systems finally understand us well enough to meet us where we already are.Pro Tips• Look for AI that reduces busy work across tools rather than chasing broad capability.• Prioritize context rich interactions in your product planning. It will define user expectations for years to come.• Treat multi person workflows as the next major opportunity. Most teams still rely on manual coordination.Call to actionIf this episode helped you think differently about where AI is actually useful, follow the show and share it with someone who is building product in this space. And join me on LinkedIn for weekly insights on tech, people, and impact.

When you build a software business as a founder, you have a dream. Building. Features. APIs. UIs.But how much of that is JUST a dream, and what REALLY leads to paying customers?This episode of The Bootstraped Founder is sponsored by Paddle.comYou'll find the Black Friday Guide here: https://www.paddle.com/learn/grow-beyond-black-fridayThe blog post: https://thebootstrappedfounder.com/the-things-your-customers-dont-care-about/The podcast episode: https://tbf.fm/episodes/422-the-things-your-customers-dont-care-aboutCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Die LPM is verbied om aan nege suidelike plaaslike owerhede en ander landwyd deel te neem weens beweerde tegniese probleme met die Verkiesingskommissie se aanlyn-portaal. Geraakte dorpe in die Hardap- en Karas-streke sluit in Aranos, Berseba, Bethanie, Gibeon, Rehoboth, Kalkrand, Lüderitz, Tses en Stampriet. Die party is ook uitgesluit van Hentiesbaai, Arandis en Uis in Erongo, en verloor altesaam 21 setels in sy vestings. Dit sal egter steeds in Mariental, Keetmanshoop, Karasburg, Koës, Aroab, Gochas, Oranjemund en Maltahöhe deelneem. In 'n onderhoud met Kosmos 94.1 Nuus het die party se Aranos-kandidaat, Salomon Boois, sy ontevredenheid uitgespreek.

On September 30th, ServiceNow's AI Experience launched, and with it came one of the most transformative new features: Web Agents! On this week's episode of Break Point, Lauren McManamon was joined by returning guest, Jingfei Chen, to unveil how Web Agents automate tasks by navigating browser UIs like a human. Learn how this catch-all agent works, where it fits alongside APIs and RPA, and why it’s set to change how developers approach automation. ⏱️ Timestamps 00:00 Introduction 02:37 What ARE ServiceNow Web Agents? 07:09 So, Web Agents Are Not ONLY Accessible Through Chat? 09:41 How Are Web Agents Similar/Different From RPA? 12:25 What Are Some Cornerstone Use Cases for Web Agents? 17:19 What Are the V1 Capabilities / Limitations of Web Agents? 18:47 What Are Web Agent Best Practices? 22:18 Where Can People Try Out Web Agents? 23:55 What’s On the Roadmap for Web Agents? *SAFE HARBOR* 27:01 How Have Priorities Changed to Meet Market Expectations? 29:50 What Are Initial Customer Thoughts on Web Agents? 31:11 Where Can People Provide Feedback on Web Agents? 32:02 Call to Action 33:57 Conclusion

On September 30th, ServiceNow's AI Experience launched, and with it came one of the most transformative new features: Web Agents! On this week's episode of Break Point, Lauren McManamon was joined by returning guest, Jingfei Chen, to unveil how Web Agents automate tasks by navigating browser UIs like a human. Learn how this catch-all agent works, where it fits alongside APIs and RPA, and why it’s set to change how developers approach automation. ⏱️ Timestamps 00:00 Introduction 02:37 What ARE ServiceNow Web Agents? 07:09 So, Web Agents Are Not ONLY Accessible Through Chat? 09:41 How Are Web Agents Similar/Different From RPA? 12:25 What Are Some Cornerstone Use Cases for Web Agents? 17:19 What Are the V1 Capabilities / Limitations of Web Agents? 18:47 What Are Web Agent Best Practices? 22:18 Where Can People Try Out Web Agents? 23:55 What’s On the Roadmap for Web Agents? *SAFE HARBOR* 27:01 How Have Priorities Changed to Meet Market Expectations? 29:50 What Are Initial Customer Thoughts on Web Agents? 31:11 Where Can People Provide Feedback on Web Agents? 32:02 Call to Action 33:57 Conclusion

Nilay's back! And you can listen to The Vergecast with no ads, if you're a Verge subscriber! Big week, really. Nilay and David start the show by talking about ads, podcasts, platforms, and subscriptions. Then they talk a bunch about Apple's new M5-powered MacBook, iPad, and Vision Pro, and whether a chip bump is worth getting excited about. After that, Nilay reflects on a summer of using AI products, and explains why you can tell the whole story of this generation of AI just by talking about the smart home. Finally, in the lightning round, the hosts talk about AI song covers, Apple TV, TiVo, Roku, Cybertrucks, and the exploding Pixel 10 Pro Fold. Help us improve The Verge: Take our quick survey at theverge.com/survey. Further reading: Ad-free Verge podcasts have arrived Netflix is making a big bet on video podcasts Apple's 2025 iPad Pro comes with an M5 chip inside  Apple just upgraded the Vision Pro with an M5 chip and new strap  Apple's 14-inch MacBook Pro gets an M5 chip bump and faster storage  Logitech made an Apple Pencil-like stylus for the Vision Pro  Apple's rumored smart home display hub might start at $350  Samsung officially teases Moohan headset launch for next week  Apple's future smart glasses could have two separate UIs.  ChatGPT will soon help you shop at Walmart.  How OpenAI plans to make all its money.  Microsoft wants you to talk to your PC and let AI control it   As Microsoft bids farewell to Windows 10, millions of users won't  Spotify says it's working with labels on ‘responsible' AI music tools  DirecTV will soon bring AI ads to your screensaver  OpenAI partners with Broadcom to produce its own AI chips  Sam Altman says ChatGPT will soon sext with verified adults  Apple TV Plus is being rebranded to… Apple TV  Apple exec on Apple TV rebranding: ‘let's just do it' Google's Pixel 10 Pro Fold is the first to ‘go up in smoke during a bend test,' JerryRigEverything says Roku's AI-upgraded voice assistant can answer questions about what you're watching  DirecTV will soon bring AI ads to your screensaver  Soul Against the Machine TiVo has sold its last DVR  Tesla Cybertruck sales are flatlining  Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Estudiantes de la UIS esperaron cinco horas a Petro para la inauguración del edificio del Instituto de LenguasPresidente Gustavo Petro aceptó la renuncia del ministro de Igualdad, Juan Carlos Florián SilvaPetro no erradicará forzosamente Juan Manuel Santos Cobardes

Ask a question on our Youtube Channel: https://www.youtube.com/@GenerativeAIMeetup Mark's Travel Vlog: https://www.youtube.com/@kumajourney11 Mark's Personal Youtube Channel: https://www.youtube.com/@markkuczmarski896 Attend a live event: https://genaimeetup.com/ Shashank Linked In: https://www.linkedin.com/in/shashu10/  Mark Linked in: https://www.linkedin.com/in/markkuczmarski/  In this episode of the Generative AI Meetup Podcast, hosts Shashank (a software engineer at Google Labs working on the AI vibe design tool Stitch) and Mark (a former Amazon engineer now building a stealth startup) dive into the world of "vibe coding"—a revolutionary approach to programming inspired by AI researcher Andrei Karpathy. Vibe coding lets you focus on the big picture and product vision while letting large language models (LLMs) handle the nitty-gritty details, melting away traditional coding hurdles. Shashank walks through his weekend project, Convo (convochat.io), an AI-powered app that analyzes exported chat backups from WhatsApp, Telegram, Facebook Messenger, or SMS. It delivers fun stats (like 11,000 messages sent to a friend over four years), conversation summaries, sentiment analysis, and even tips for better chats—all built with minimal manual coding. The duo shares practical tips for vibe coding success: brainstorming ideas with Claude, designing UIs in Stitch, building with tools like Cursor or Replit, using Git for checkpoints, picking popular frameworks (e.g., Tailwind CSS), writing tests, debugging with logs, optimizing SEO, and branding with AI-generated logos. They discuss pros (rapid prototyping, low costs—Shashank spent just $18), cons (scaling challenges, bug fixes), and best practices for beginners, including modularity, documentation, and refactoring. Whether you're a seasoned dev or a total newbie, this episode shows how AI tools can turn ideas into launched MVPs in days, not months. Tune in for inspiration, real-world examples, and motivation to vibe code your next project!

Aurora Scharff, Senior Consultant at Crayon, joins to break down how modern React development is evolving with features from React 18 and React 19. She explores real-world use cases for useTransition and useOptimistic, highlights improvements in async UI rendering and performance, and shares insights on building responsive interfaces with concurrent rendering patterns. The conversation also touches on server components, Next.js, and tools like Aria Kit and Redwood SDK, all shaping the next era of React development. Links Website: https://aurorascharff.no Github: https://github.com/aurorascharff X: https://x.com/aurorascharff Bluesky: https://bsky.app/profile/aurorascharff.no LinkedIn: https://www.linkedin.com/in/aurora-scharff-a86b88188 Resources Building Reusable Components with React19 Actions: https://aurorascharff.no/posts/building-reusable-components-with-react19-actions Chapters 00:00 Intro 00:18 Modern React concurrent rendering patterns explained 03:38 useTransition real-world examples 08:22 useOptimistic for faster UI feedback 30:10 React Server Components and Next.js integration 30:57 Building modern UIs with Aria Kit 34:07 Using Redwood SDK in the React ecosystem 39:00 Key takeaways and what's next for React development 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)! Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). 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)

In this episode of Experiencing Data, I introduce part 1 of my new MIRRR UX framework for designing trustworthy agentic AI applications—you know, the kind that might actually get used and have the opportunity to create the desired business value everyone seeks! One of the biggest challenges with both traditional analytics, ML, and now, LLM-driven AI agents, is getting end users and stakeholders to trust and utilize these data products—especially if we're asking humans in the loop to make changes to their behavior or ways of working.  In this episode, I challenge the idea that software UIs will vanish with the rise of AI-based automation. In fact, the MIRRR framework is based on the idea that AI agents should be “in the human loop,” and a control surface (user interface) may in many situations be essential to ensure any automated workers engender trust with their human overlords.   By properly considering the control and oversight that end users and stakeholders need, you can enable the business value and UX outcomes that your paying customers, stakeholders, and application users seek from agentic AI.  Using use cases from insurance claims processing, in this episode, I introduce the first two of five control points in the MIRRR framework—Monitor and Interrupt. These control points represent core actions that define how AI agents often should operate and interact within human systems: Monitor – enabling appropriate transparency into AI agent behavior and performance Interrupt – designing both manual and automated pausing mechanisms to ensure human oversight remains possible when needed  …and in a couple weeks, stay tuned for part 2 where I'll wrap up this first version of my MIRRR framework.  Highlights / Skip to: 00:34 Introducing the MIRRR UX Framework for designing trustworthy agentic AI Applications.  01:27 The importance of trust in AI systems and how it is linked to user adoption 03:06 Cultural shifts, AI hype, and growing AI skepticism 04:13  Human centered design practices for agentic AI   06:48 I discuss how understanding your users' needs does not change with agentic AI, and that trust in agentic applications has direct ties to user adoption and value creation 11:32 Measuring success of agentic applications with UX outcomes 15:26 Introducing the first two of five MIRRR framework control points: 16:29 M is for Monitor; understanding the agent's “performance,” and the right level of transparency end users need, from individual tasks to aggregate views  20:29 I is for Interrupt; when and why users may need to stop the agent—and what happens next 28:02 Conclusion and next steps

Hosts: Eric Peterson - Senior Developer at Ortus SolutionsGrant Copley - Senior Developer at Ortus SolutionsSPONSOR — ORTUS SOLUTIONSCBWire 

Die Brandberg Backyard Ultra, aangebied deur Namibia Ultra Trails, is in volle swang na dit agt-uut vanoggend afgeskop het op Uis. Atlete moet uurliks ‘n loep van 6,7 kilometer voltooi en stelselmatig val hulle uit tot die laaste loep alleen voltooi is – dan is die ultra-marathon voltooi. Kosmos 94.1 se Francois Lottering is daar en het met Nico Scholtz van Namibia Ultra Trails gepraat.

AC Infinity is revolutionizing indoor grow room automation with its latest smart grow technology ecosystem. Brand specialist Brandon from AC Infinity showcases how the new Controller AI+ – an AI-powered environmental controller – works with the AC Infinity app to dynamically adjust your grow tent climate by regulating fans, lights, pumps, and more. This intelligent controller learns your environment, smoothing out temperature and humidity swings (optimizing VPD) and eliminating the need for constant manual tweaks. We explore how these innovations make indoor growing easier and more efficient, giving growers the power to monitor and fine-tune conditions remotely via WiFi or Bluetooth right from a smartphone. In addition to the AI controller, the video introduces AC Infinity's wireless UIS dongles that eliminate cable clutter by linking devices to the controller over a secure 2.4 GHz signal. We demonstrate how one controller port can now manage multiple fans or lights wirelessly, streamlining your grow tent setup. You'll also see the new AI Power Strip, a smart outlet strip that lets you automate grow devices and plug-in sensors (like humidifiers, heaters, or CO₂ monitors) even without a main controller – an affordable entry point for smart grow automation. The discussion highlights AC Infinity's upgraded Cloudray S2 oscillating clip-on fans (Gen2), built for continuous 24/7 operation to keep air flowing, as well as their long-awaited smart dehumidifiers (in 3L, 5L, and 7L models) that maintain ideal humidity levels and even allow you to recycle the collected water for your humidifier. Finally, we touch on AC Infinity's comprehensive product lineup – from grow tents, LED lights, and climate controllers to nutrients (in partnership with Athena) – solidifying their status as a one-stop shop for fully integrated indoor grow systems. Throughout the interview, we emphasize AC Infinity's dedication to quality, innovation, and customer support, including active community engagement via the weekly “AC Infinity After Dark” podcast and frequent product giveaways.

Unlock the practical side of vibe coding and AI‑powered marketing automations with host Cody Schneider and guest CJ Zafir (CodeGuide.dev). If you've been flooded with posts about no‑code app builders but still wonder how people actually ship working products (and use them to drive revenue), this conversation is your blueprint.CJ breaks down:What “vibe coding” really means – from sophisticated AI‑assisted development in Cursor or Windsurf to chilled browser‑based tools like Replit, Bolt, V0, and Lovable.How to think like an AI‑native builder – using ChatGPT voice, Grok, and Perplexity to research, brainstorm, and up‑level your technical vocabulary.Writing a rock‑solid PRD that keeps LLMs from hallucinating and speeds up delivery.The best tool stack for different stages – quick MVPs, polished UIs, full‑stack production apps, and self‑hosted automations with N8N.Real‑world marketing automations – auto‑generating viral social content, indexing SEO pages, and replacing repetitive “social‑media‑manager” tasks.Idea‑validation playbook – from domain search to Google Trends, plus why you should build the “obvious” products competitors already prove people pay for.You'll leave with concrete tactics for:Scoping and documenting an app idea in minutes.Choosing the right AI coding tool for your skill level.Automating content‑creation and distribution loops.Turning small internal scripts into sellable SaaS.Timestamps(00:00) - Why vibe coding & AI‑marketing are everywhere  (00:32) - Meet CJ Zafir & the origin of CodeGuide.dev  (01:15) - Classic mistakes non‑technical builders make  (01:27) - Sponsor break – Talent Fiber  (03:00) - “Sophisticated” vs “chilled” vibe coding explained  (04:00) - 2024: English becomes the biggest coding language  (06:10) - Becoming AI‑native with ChatGPT voice, Grok & Perplexity  (10:30) - How CodeGuide.dev was born from a 37‑prompt automation  (14:00) - Tight PRDs: the antidote to LLM hallucinations  (18:00) - Tool ratings: Cursor, Windsurf, Replit, Bolt, V0 & Lovable  (23:30) - Real‑world marketing automations & agent workflows  (25:50) - Why the “social‑media manager” role may disappear  (28:00) - N8N, JSON & self‑hosting options (Render, Cloudflare, etc.)  (35:50) - Idea‑validation playbook: domains, trends & data‑backed bets  (42:20) - Final advice: build for today's pain, not tomorrow's hype SponsorThis episode is brought to you by Talent Fiber – your outsourced HR partner for sourcing and retaining top offshore developers. Skip the endless interviews and hire pre‑vetted engineers with benefits, progress tracking, and culture support baked in. Visit TalentFiber.com to scale your dev team today.Connect with Our GuestX (Twitter): https://x.com/cjzafirCodeGuide.dev: https://www.codeguide.dev/Connect with Your HostX (Twitter): https://twitter.com/codyschneiderxxLinkedIn: https://www.linkedin.com/in/codyxschneiderInstagram: https://www.instagram.com/codyschneiderxYouTube: https://www.youtube.com/@codyschneiderx

On this episode, Pete and Julie welcome long-time HR technology industry executive and Partner at Acadian Ventures, Thomas Otter, to share his insights on where ‘hype meets truth' on the state and future of HR and payroll technology! Thomas shares his path from studying labor law and industrial relations to finding a career in HR technology and now fueling the future of HR tech as an investor.  Thomas provides insight into the Acadian Ventures investment thesis and lens, as well as why the firm is betting big on what he calls the “infrastructure era” of HR tech. He explains why AI is prompting the industry to reassess long-held assumptions and challenges the hype that often surrounds so-called ‘game-changing' innovations, as well as how unstructured data and conversational UIs are transforming our interactions with systems.  Thomas makes a compelling case for why HR leaders must understand their business at its core - starting by knowing their organization's “gold price.” Plus, advice on how HR buyers can cut through the noise to focus on what solutions actually deliver to solve problems and drive business outcomes! Connect with Thomas:  Acadian Ventures: https://www.acadianventures.com/ LI: https://www.linkedin.com/in/thomasotter/  SubStack: https://thomasotter.substack.com/ “Wedding cakes vs. Cupcakes” blog: https://www.unleash.ai/hr-technology/thomas-otter-on-the-wedding-cake-v-cupcake-of-hr-tech/ Connect with the show:    LinkedIn:  http://linkedin.com/company/hr-payroll-2-0  X: @HRPayroll2_0 @PeteTiliakos @JulieFer_HR BlueSky: @hrpayroll2o.bsky.social  YouTube: https://www.youtube.com/@HRPAYROLL2_0

The 2025 generative AI image market is a trade-off between aesthetic quality, instruction-following, and user control. This episode analyzes the key platforms, comparing Midjourney's artistic output against the superior text generation and prompt adherence of GPT-4o and Imagen 4, the commercial safety of Adobe Firefly, and the total customization of Stable Diffusion. Links Notes and resources at ocdevel.com/mlg/mla-25 Try a walking desk - stay healthy & sharp while you learn & code Build the future of multi-agent software with AGNTCY. The State of the Market The market is split by three core philosophies: The "Artist" (Midjourney): Prioritizes aesthetic excellence and cinematic output, sacrificing precise user control and instruction following. The "Collaborator" (GPT-4o, Imagen 4): Extensions of LLMs that excel at conversational co-creation, complex instruction following, and integration into productivity workflows. The "Sovereign Toolkit" (Stable Diffusion): An open-source engine offering users unparalleled control, customization, and privacy in exchange for technical engagement. Table 1: 2025 Generative AI Image Tool At-a-Glance Comparison Tool Parent Company Access Method(s) Pricing Core Strength Best For Midjourney v7 Midjourney, Inc. Web App, Discord Subscription Artistic Aesthetics & Photorealism Fine Art, Concept Design, Stylized Visuals GPT-4o OpenAI ChatGPT, API Freemium/Sub Conversational Control & Instruction Following Marketing Materials, UI/UX Mockups, Logos Google Imagen 4 Google Gemini, Workspace, Vertex AI Freemium/Sub Ecosystem Integration & Speed Business Presentations, Educational Content Stable Diffusion 3 Stability AI Local Install, Web UIs, API Open Source Ultimate Customization & Control Developers, Power Users, Bespoke Workflows Adobe Firefly Adobe Creative Cloud Apps, Web App Subscription Commercial Safety & Workflow Integration Professional Designers, Agencies, Enterprise Core Platforms Midjourney v7: Premium choice for artistic quality. Features: Web UI with Draft Mode, user personalization, emerging video/3D. Weaknesses: Poor text generation, poor prompt adherence, public images on cheap plans, no API/bans automation. OpenAI GPT-4o: An intelligent co-creator for controlled generation. Features: Conversational refinement, superior text rendering, understands uploaded image context. Weaknesses: Slower than competitors, generates one image at a time, strict content filters. Google Imagen 4: Pragmatic tool focused on speed and ecosystem integration. Features: High-quality photorealism, fast generation, strong text rendering, multilingual. Weaknesses: Less artistic flair; value is dependent on Google ecosystem investment. Stable Diffusion 3: Open-source engine for maximum user control. Features: MMDiT architecture improves prompt/text handling, scalable models, vast ecosystem (LoRAs/ControlNet). Weaknesses: Steep learning curve, quality is user-dependent. Adobe Firefly: Focused on commercial safety and professional workflow integration. Features: Trained on Adobe Stock for legal indemnity, Generative Fill/Expand tools. Weaknesses: Creative range limited by training data, requires Adobe subscription/credits. Tools and Concepts In-painting: Modifying a masked area inside an image. Out-painting: Extending an image beyond its original borders. LoRA (Low-Rank Adaptation): A small file that applies a fine-tuned style, character, or concept to a base model. ControlNet: Uses a reference image (e.g., pose, sketch) to enforce the composition, structure, or pose of the output. A1111 vs. ComfyUI: Two main UIs for Stable Diffusion. A1111 is a beginner-friendly tabbed interface; ComfyUI is a node-based interface for complex, efficient, and automated workflows. Workflows "Best of Both Worlds": Generate aesthetic base images in Midjourney, then composite, edit, and add text with precision in Photoshop/Firefly. Single-Ecosystem: Work entirely within Adobe Creative Cloud or Google Workspace for seamless integration, commercial safety (Adobe), and convenience (Google). "Build Your Own Factory": Use ComfyUI to build automated, multi-step pipelines for consistent character generation, advanced upscaling, and video. Decision Framework Choose by Goal: Fine Art/Concept Art: Midjourney. Logos/Ads with Text: GPT-4o, Google Imagen 4, or specialist Ideogram. Consistent Character in Specific Pose: Stable Diffusion with a Character LoRA and ControlNet (OpenPose). Editing/Expanding an Existing Photo: Adobe Photoshop with Firefly. Exclusion Rules: If you need legible text, exclude Midjourney. If you need absolute privacy or zero cost (post-hardware), Stable Diffusion is the only option. If you need guaranteed commercial legal safety, use Adobe Firefly. If you need an API for a product, use OpenAI or Google; automating Midjourney is a bannable offense.

When does a framework reach maturity? For Joel Hawksley, lead maintainer of GitHub's ViewComponent framework, the answer comes with the upcoming fourth major release – a milestone that marks not just new features, but a transition to long-term support mode.Joel takes us behind the scenes of his seven-year journey at GitHub, where an idea sketched on an airplane has evolved into a critical part of how the platform renders its interfaces. With candid insights, he explains why ViewComponent is now considered feature-complete, and the philosophical challenges that remain unresolved around CSS and JavaScript integration within component-based Rails applications.The conversation delves into fascinating territory around GitHub's technical architecture decisions. Joel articulates the clear dividing line between interfaces better suited for React versus Rails, based on his experience building complex UIs like GitHub's merge box. "The ability for a new engineer to come in and modify that code in React is an order of magnitude better," he explains, revealing how pragmatism rather than dogma drives technology choices at scale.Perhaps most compelling are Joel's reflections on accessibility – work he led for years at GitHub. He reveals how accessibility requirements fundamentally reshape engineering approaches, forcing consistency and systematic thinking that might otherwise be overlooked. With 80% of top e-commerce sites facing accessibility lawsuits in recent years, these considerations are becoming unavoidable for developers at companies of all sizes.As a new member of GitHub's Ruby architecture team, Joel also shares fascinating perspectives on Ruby's evolution. He articulates the tension between adding safety guardrails to the language while preserving the flexibility and joy that attracted developers in the first place. "Is it better to take something that is elegant and beautiful and flexible and put it in handcuffs, or is it better to go use a tool that was built with that in mind?" he asks, in a moment of philosophical clarity that will resonate with Ruby developers everywhere.Whether you're using ViewComponent, building accessible interfaces, or thinking about Ruby's future, this episode offers rare insights from someone who has spent years navigating these waters at one of the world's most prominent software platforms. Check out ViewComponent 4.0 RC1 today and share your feedback before the final release!Send us some love. HoneybadgerHoneybadger is an application health monitoring tool built by developers for developers.JudoscaleAutoscaling that actually works. Take control of your cloud hosting.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the show

Send us a textMy guests this episode to talk about Norway's antibullying ombudspersons, what they do, their value, and tips for bringing this important initiative to your community are three of Norway's most experienced ombuds: Kaja Vintervold Asmyhr, Bodil Jenssen Houg, and Jon Halvdan Lenning. Our conversation was recorded in front of a live audience at the 2025 World Anti-Bullying Forum, in Stavanger, Norway. The 2025 World Anti-Bullying Forum was hosted by the Norwegian Centre for Learning Environment and Behavioural Research in Education at the University of Stavanger (UiS) in collaboration with the teacher education programs at UiS; the UNESCO Chair in Diversity, Inclusion and Education; the Knowledge Centre for Education; and the Partnership Against Bullying. This biannual conference – the largest and most important of its kind – is an initiative of the Swedish NGO, Friends, and its Presenting Sponsor is BRP, a global leader in powersports products who, through its Ride Out Intimidation program, takes a firm stand against bullying. More information about Kaja Vintervold Asmyhr, Bodil Jenssen Houg, and Jon Halvdan Lenning; the resources they mentioned; the antibullying ombudspersons initiative and its supporters; the World Anti-Bullying Forum; the conference organizers; and BRP's Ride Out Intimidation program is at talkingaboutkids.com.

Justin Searls joins Jerod in Apple's WWDC wake for hot takes about frosty UIs. We go (almost) point-by-point through the keynote, dissecting and reacting along the way. Concentricity!

In this episode, I chat with Jonathan, a rapidly rising expert on Twitter known for building and scaling AI-driven marketing automations using tools like n8n and custom API integrations. We explore the practical realities of "vibe marketing" automation beyond hype, revealing how real-world workflows are being constructed today and why true expertise in marketing is essential for effective automation. Listeners will gain insights into automating audience research, creative production, and ad performance analysis at scale, as well as actionable tips for getting started and leveraging AI tools to 10x their output.Timestamps(00:00) – Introduction to Jonathan and Marketing Automation The host introduces Jonathan and sets the stage for a discussion on modern marketing automation tools and why they're currently so powerful.(02:45) – Jonathan's Background and Automation Journey Jonathan shares how he got into marketing automation, his paid ads background, and the evolution from manual work to automation.(07:30) – Key Tools and Stack for Automation The host and Jonathan discuss their tech stacks, highlighting n8n, railway.com, and custom front-end interfaces to streamline automation.(12:15) – Top Marketing Automation Workflows Jonathan outlines his most effective workflows: audience research, creative generation, and scaling marketing insights.(18:00) – Audience Research Automation: Reddit Scraping and Analysis A deep dive into using n8n to scrape Reddit, filter and analyze discussions, and extract actionable marketing insights and customer language.(25:40) – Twitter Insights Automation How Jonathan automates scraping Twitter for popular posts, identifying top-performing content and structuring it for ongoing content creation.(31:10) – Creative Production Automation Jonathan explains workflows for bulk generating ad variations using OpenAI's Image Gen API, including reference image analysis and prompt engineering.(38:20) – Custom Front-End Interfaces for Workflows The pair discuss integrating user-friendly front-end UIs (using Lovable or Bolt) with n8n backend automations for client and team use.(44:50) – Automating Ad Performance Analysis Jonathan describes a flow for pulling and analyzing Facebook Ads data, using sub-agents for performance analysis, deep research, and new ad creation.(51:10) – Video Ad Automation and Future Trends A look at how video ad automation is evolving and the current limitations and opportunities, including upcoming tools like Google Veo 3.(56:40) – Speeding Up Workflow Creation with Perplexity and Claude The host and Jonathan discuss using AI (Perplexity, Claude 4) to generate n8n workflow JSON, streamlining the automation development process.Key PointsExpertise in Marketing is Essential for Automation: To automate marketing workflows effectively, you need a deep understanding of marketing processes themselves. Only then can you define, script, and automate successful campaigns[1].Automating Audience Research Drives Results: Bulk scraping and analyzing platforms like Reddit and Twitter allow marketers to extract pain points, trigger events, and customer language at scale, informing ad copy and creative direction.Creative Volume is Game-Changing: Automation tools like OpenAI's Image Gen API enable the generation of hundreds of ad variations, feeding algorithms for higher performance and lower costs.Custom Front-Ends Improve Workflow Accessibility: Building user-friendly interfaces (using tools like Lovable or Bolt) for complex n8n automations makes them accessible to non-technical team members and clients.AI Accelerates Workflow Development: Using AI tools like Perplexity and Claude to generate n8n workflow JSON reduces the time and technical skill required to build sophisticated automations.Human-in-the-Loop Remains Critical: While automation handles the heavy lifting, human oversight is still needed for nuanced analysis, curation, and final ad selection.Notable QuotesJonathan: “You have to be an expert at that thing to be able to go and actually build out these automations. But when you do that, you can automate 80% of the work that you previously were doing.”Jonathan: “I literally just tell Claude what I want to build, and then it maps it out for me. And then you kind of have a canvas that is like 60, 70, 80% there depending on the complexity.”Cody: “Your customers are your best advertisers, so taking their exact wording and phrases is for sure going to be an effective marketing strategy a lot of the time.”Actionable Takeaways for Founders, Marketers, and PodcastersStart with a Core Marketing Process: Identify a repeatable marketing workflow you fully understand before attempting to automate it.Invest in Audience Research Automation: Use tools to scrape and analyze discussions on Reddit, Twitter, and other platforms to extract customer pain points and language for your messaging[2].Bulk Generate and Test Creatives: Leverage AI to produce hundreds of ad variations, enabling rapid testing and optimization of creative assets.Automate Performance Analysis: Implement workflows to automatically pull and analyze campaign performance data, allowing you to focus on strategy and execution[8].Simplify Tool Accessibility: Build custom UIs for your automation tools to make them accessible for your entire team, not just engineers.Accelerate Workflow Development: Use AI-powered tools like Perplexity and Claude to generate automation scripts and reduce development time.Brought to you byTalentFiber – Hire top offshore engineers with US experience at half the cost of US hires. - talentfiber.comWhere to the find Guest: https://x.com/vibemarketer_ https://linktr.ee/vibemarketerResources Mentionedhttps://www.youtube.com/@nateherkhttps://www.youtube.com/@Mark_Kashefhttps://www.youtube.com/@AI-GPTWorkshop/videosRapidAPI – Access a wide range of third-party APIs for quick integrations. - rapidapi.comApify – Scrape websites and extract data at scale. - apify.comTwitterAPI.io – Free and affordable Twitter data scraping tool. - twitterapi.io

In this episode of the StudioNerds Podcast, we dive into the uncomfortable truth about your plugin folder. Why are so many plugin companies still pushing 2015 tech in a 2025 world? Are we stuck using the same sounds with prettier UIs, or is real innovation finally on the way?Let's break down who's evolving, and who's coasting.If you're a producer and want to get on Colossal, and sell more beats, register now at colossal.fm/producers - and it's free, no subscription costs!➡️https://colossal.fmhttps://www.instagram.com/colossal_apphttps://www.tiktok.com/@colossal.apphttps://www.youtube.com/@colossal-app➡️ Get Our Rosetta Plugins: https://cutt.ly/RwAEmuRF➡️ Our Site: https://www.helpmedevvon.com Please subscribe to our YouTube and rate our podcast it helps us a lot!➡️ https://linktr.ee/mystudionerdsFollow Ushttps://www.instagram.com/helpmedevvon➡️Join this channel to get access to perks:https://www.youtube.com/channel/UCGyDjbX9F9ARt_8sgv5kGDg/joinFollow The CastDevvon Terrellhttps://instagram.com/helpmedevvonLJhttps://instagram.com/prodbyljeanHere is L.Jean channel! https://youtube.com/@SweataWeathaCourtney Taylorhttps://instagram.com/officialcourtneytaylor#podcast #mixing #mastering

With AccessKit, Matt Campbell and Arnold Loubriat took on the ambitious task of abstracting over the accessibility APIs of several target OS' to offer toolkit providers one unified way to make their UIs accessible across platforms. This interview was recorded live at RustWeek 2025 with your host Luuk van der Duim. Contributing to Rustacean Station Rustacean Station is a community project; get in touch with us if you'd like to suggest an idea for an episode or offer your services as a host or audio editor! Twitter: @rustaceanfm Discord: Rustacean Station Github: @rustacean-station Email: hello@rustacean-station.org Timestamps & referenced resources [@1:11] - Introducing Matt and Arnold. [@1:45] - “What are you working on?” [@2:00] - “What does it offer?” [@2:28] - “Who would use AccessKit?” [@2:51] - AccessKit bindings in languages besides Rust. [@3:14] - Unifying accessibility protocols. [@4:47] - AccessKit's API. [@6:58] - AccessKit tree concepts. [@8:47] - When Arnold got involved. [@9:08] - 6000 lines of code to find Matt. [@12:56] - Matt's history with Windows and Microsoft. [@14:00] - How Quorum relates to AccessKit, Quorum [@15:52] - Challenges Quorum UI development faced. [@18:12] - Arnold and Matt on the necessity for back-end testing, Android, iOS - Linux. [@21:45] - On Newton and its Chromium relation. Newton [@27:55] - Newton on other compositers. [@29:20] - Wayland protocol purists versus Gnome D-Bus frictions. “Next-generation accessibility architecture” document [@31:03] - Where can people find Arnold? Arnold on GitHub as ‘DataTriny' Arnold Loubriat on LinkedIn DataTriny on Mastodon [@31:39] Where can people find Matt? Matt Campbell on GitHub AccessKit website. [@31:53] Your host can be found on GitHub. Luuk van der Duim Odilia screen reader atspi crate Credits Intro Theme: Aerocity Audio Editing: Luuk van der Duim Samples used in interruption: “Vinyl - 45RPM - Start 2” by: day-garwood License: Attribution 3.0 Record Scratch #3 by: musicvision31 License: Creative Commons 0 Hosting Infrastructure: Jon Gjengset Show Notes: Luuk van der Duim Hosts: Luuk van der Duim

Justin's migrating off Freshdesk, grumbling about outdated UIs and dreaming of integrated tools. He's knee-deep in Shopify, site redirects, and pondering injection moulding and SMED like it's a lifestyle. Meanwhile, Jem's grappling with KittaParts hardware complexity, designing 19” rack kits, inventing dowel-pivot hinges, and vibing with NotebookLM podcasts about ABB RAPID while secretly plotting to laser-engrave everything.Watch on YoutubeDISCUSSED:✍️ Comment or Suggest a TopicFreshdesk "free" endingDisposable software ꘎ Laura 3D viewerHenry Holsters Tour - Audacity Micro ⠄ BEPNo door APC BrothersSMED (Single Minute Exchang of Dies)Lean stationShipping areaLLM robot programming ꘎Best part of owning business ⠄Urg. Laura says the coffee.Phew Shopify back to normal ꘎PDX CNC DistributorsAPSX PIMChatter Sync update Masso vs MulticamFricken Lasers ꘎ Notebook LM ꘎ - Learn ABB robotsCities Skylines with JustinFactorio - Factorio does not fill the niche. It creates the niche.---Profit First PlaylistClassic Episodes Playlist---SUPPORT THE SHOWBecome a Patreon - Get the Secret ShowReview on Apple Podcast Share with a FriendDiscuss on Show SubredditShow InfoShow WebsiteContact Jem & JustinInstagram | Tiktok | Facebook | YoutubePlease note: Show notes contains affiliate links.HOSTSJem FreemanCastlemaine, Victoria, AustraliaLike Butter | Instagram | More LinksJustin...

Can AI really design your home? 800,000+ users have already ditched their architects thanks to Maket, a startup using AI to simplify renovations from floorplans to permits.In this Spotlight episode, Maket founder Patrick Murphy delivers a mock version of the real pitch that secured $2M in funding from top investors including Reid Hoffman's Blitzscaling Ventures. Maket's platform uses generative AI to help homeowners and builders create zoning-compliant floorplans, visualize renovations, and streamline the entire design process—all without needing an architect.We break down what made Maket's pitch so compelling, challenge some of Patrick's assumptions, and unpack the real-world lessons for other founders pitching complex AI products. Along the way, we discuss the difference between simplifying a process and truly disrupting an industry—and why most tools built 'for professionals' fail to scale.In this episode, you will:Learn how Maket is automating architecture using generative AIHear how Patrick convinced VCs with a story-first pitchUnderstand the strategic value of building a proprietary modelExplore the pitfalls of targeting industry incumbents too earlyDiscover how agent-based UIs are replacing SaaS 2.0See why traction and team matter more than early monetizationGet tactical advice on presenting complex ideas to investorsIf you're building in AI, pitching a vertical SaaS product, or just want a front-row seat to a startup reinventing home design—this one's for you.The Pact Honor the Startup Podcast Pact! If you have listened to TSP and gotten value from it, please:Follow, rate, and review us in your listening appSubscribe to the TSP Mailing List to gain access to exclusive newsletter-only content and early access to information on upcoming episodes: https://thestartuppodcast.beehiiv.com/subscribe Secure your official TSP merchandise at https://shop.tsp.show/ Follow us here on YouTube for full-video episodes: https://www.youtube.com/channel/UCNjm1MTdjysRRV07fSf0yGg Give us a public shout-out on LinkedIn or anywhere you have a social media following Key linksThe Startup Podcast is sponsored by Vanta. Vanta helps businesses get and stay compliant by automating up to 90% of the work for the most in-demand compliance frameworks. With over 200 integrations, you can easily monitor and secure the tools your business relies on. For a limited-time offer of US$1,000 off, go to www.vanta.com/tsp .Get your question in for our next Q&A episode: https://forms.gle/NZzgNWVLiFmwvFA2A The Startup Podcast website: https://www.tsp.show/episodes/Learn more about Chris and YanivWork 1:1 with Chris: http://chrissaad.com/advisory/ Follow Chris on Linkedin: https://www.linkedin.com/in/chrissaad/ Follow Yaniv on Linkedin: https://www.linkedin.com/in/ybernstein/Producer: Justin McArthur https://www.linkedin.com/in/justin-mcarthurIntro Voice: Jeremiah Owyang https://web-strategist.com/

In this episode, we welcome back Will McGugan, the creator of the wildly popular Rich library and founder of Textualize. We'll dive into Will's latest article on "Algorithms for High Performance Terminal Apps" and explore how he's quietly revolutionizing what's possible in the terminal, from smooth animations and dynamic widgets to full-on TUI (or should we say GUI?) frameworks. Whether you're looking to supercharge your command-line tools or just curious how Python can push the limits of text-based UIs, you'll love hearing how Will's taking a modern, web-inspired approach to old-school terminals. Episode sponsors Posit Python in Production Talk Python Courses Links from the show Algorithms for high performance terminal apps post: textual.textualize.io Textual Demo: github.com Textual: textualize.io Zero ver: 0ver.org memray: github.com Posting app: posting.sh Bulma CSS framewokr: bulma.io JP Term: davidbrochart.github.io Rich: github.com btop: github.com starship: starship.rs Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Industrial Talk is onsite at IoT Solutions World Congress and talking to Emmanuel Penzes, Sr. Solutions Engineer with The Qt Company about "The power behind improving the user interface". Scott MacKenzie hosts Emmanuel Penzes, a solution engineer at the Qt Group, on the Industrial Talk Podcast. Emmanuel discusses the importance of user interfaces (UI) in software development, emphasizing simplicity and functionality. He highlights the role of designers over developers in UI design and the use of analytics to improve user experience. Emmanuel also touches on the need for flexibility in UI design to accommodate updates and hardware capabilities. Looking ahead, he sees potential in autonomous driving and digital twins. Scott stresses the critical role of well-designed UIs in user engagement and encourages listeners to connect with Emmanuel and attend the IoT Solutions World Congress in Barcelona. Action Items [ ] Reach out to Emmanuel Penzes on LinkedIn to continue the discussion on UI design best practices. [ ] Explore the Qt Group's tools and solutions for creating optimized user interfaces, especially for IoT and embedded systems. [ ] Consider incorporating user feedback and analytics into the UI design process to ensure a smooth and intuitive user experience. Outline Introduction and Welcome to the Podcast Scott MacKenzie welcomes listeners to the Industrial Talk Podcast, emphasizing the focus on industry professionals and their innovations. Scott thanks the audience for their continued support and highlights the importance of celebrating industry professionals. The podcast is broadcasting from the IoT Solutions World Congress in Barcelona, Spain, and Scott encourages listeners to attend next year. Scott introduces Emmanuel from the Qt Group, who will discuss user interfaces and their importance. Emmanuel's Background and Role Emmanuel shares his background, mentioning his origins in France and his current residence in Paris. Emmanuel has a decade of experience as a software developer, including a four-year stint in Australia to improve his English. He has been with the Qt Group for the past five years, working as a solution engineer to help customers find the right software solutions. Scott expresses his passion for well-designed user interfaces and asks Emmanuel to explain their importance. Defining a Good User Interface Emmanuel explains that a good user interface is one that is easy and simple to use, minimizing frustration for the user. He emphasizes the need to balance functionality without overcomplicating the interface, as too many features can confuse users. Scott shares his personal frustration with complex user interfaces and pop-ups, highlighting the importance of simplicity. Emmanuel discusses the role of designers in creating user interfaces, separate from developers who focus on coding. Balancing Functionality and User Experience Emmanuel talks about the importance of using dedicated designers for user interfaces and user experience. He mentions the use of tools and analytics to gather customer feedback and improve user interfaces. Scott asks about the process of guiding clients through the design process, emphasizing the need for flexibility and responsiveness. Emmanuel explains the importance of considering hardware limitations and ensuring smooth performance to avoid frustration. Future Trends and Automotive Applications Scott and Emmanuel discuss the