Podcasts about github issues

Arnaud et Guillaume explore l'évolution de l'écosystème Java avec Java 25, Spring Boot et Quarkus, ainsi que les dernières tendances en intelligence artificielle avec les nouveaux modèles comme Grok 4 et Claude Code. Les animateurs font également le point sur l'infrastructure cloud, les défis MCP et CLI, tout en discutant de l'impact de l'IA sur la productivité des développeurs et la gestion de la dette technique. Enregistré le 8 août 2025 Téléchargement de l'épisode LesCastCodeurs-Episode–329.mp3 ou en vidéo sur YouTube. News Langages Java 25: JEP 515 : Profilage de méthode en avance (Ahead-of-Time) https://openjdk.org/jeps/515 Le JEP 515 a pour but d'améliorer le temps de démarrage et de chauffe des applications Java. L'idée est de collecter les profils d'exécution des méthodes lors d'une exécution antérieure, puis de les rendre immédiatement disponibles au démarrage de la machine virtuelle. Cela permet au compilateur JIT de générer du code natif dès le début, sans avoir à attendre que l'application soit en cours d'exécution. Ce changement ne nécessite aucune modification du code des applications, des bibliothèques ou des frameworks. L'intégration se fait via les commandes de création de cache AOT existantes. Voir aussi https://openjdk.org/jeps/483 et https://openjdk.org/jeps/514 Java 25: JEP 518 : Échantillonnage coopératif JFR https://openjdk.org/jeps/518 Le JEP 518 a pour objectif d'améliorer la stabilité et l'évolutivité de la fonction JDK Flight Recorder (JFR) pour le profilage d'exécution. Le mécanisme d'échantillonnage des piles d'appels de threads Java est retravaillé pour s'exécuter uniquement à des safepoints, ce qui réduit les risques d'instabilité. Le nouveau modèle permet un parcours de pile plus sûr, notamment avec le garbage collector ZGC, et un échantillonnage plus efficace qui prend en charge le parcours de pile concurrent. Le JEP ajoute un nouvel événement, SafepointLatency, qui enregistre le temps nécessaire à un thread pour atteindre un safepoint. L'approche rend le processus d'échantillonnage plus léger et plus rapide, car le travail de création de traces de pile est délégué au thread cible lui-même. Librairies Spring Boot 4 M1 https://spring.io/blog/2025/07/24/spring-boot–4–0–0-M1-available-now Spring Boot 4.0.0-M1 met à jour de nombreuses dépendances internes et externes pour améliorer la stabilité et la compatibilité. Les types annotés avec @ConfigurationProperties peuvent maintenant référencer des types situés dans des modules externes grâce à @ConfigurationPropertiesSource. Le support de l'information sur la validité des certificats SSL a été simplifié, supprimant l'état WILL_EXPIRE_SOON au profit de VALID. L'auto-configuration des métriques Micrometer supporte désormais l'annotation @MeterTag sur les méthodes annotées @Counted et @Timed, avec évaluation via SpEL. Le support de @ServiceConnection pour MongoDB inclut désormais l'intégration avec MongoDBAtlasLocalContainer de Testcontainers. Certaines fonctionnalités et API ont été dépréciées, avec des recommandations pour migrer les points de terminaison personnalisés vers les versions Spring Boot 2. Les versions milestones et release candidates sont maintenant publiées sur Maven Central, en plus du repository Spring traditionnel. Un guide de migration a été publié pour faciliter la transition depuis Spring Boot 3.5 vers la version 4.0.0-M1. Passage de Spring Boot à Quarkus : retour d'expérience https://blog.stackademic.com/we-switched-from-spring-boot-to-quarkus-heres-the-ugly-truth-c8a91c2b8c53 Une équipe a migré une application Java de Spring Boot vers Quarkus pour gagner en performances et réduire la consommation mémoire. L'objectif était aussi d'optimiser l'application pour le cloud natif. La migration a été plus complexe que prévu, notamment à cause de l'incompatibilité avec certaines bibliothèques et d'un écosystème Quarkus moins mature. Il a fallu revoir du code et abandonner certaines fonctionnalités spécifiques à Spring Boot. Les gains en performances et en mémoire sont réels, mais la migration demande un vrai effort d'adaptation. La communauté Quarkus progresse, mais le support reste limité comparé à Spring Boot. Conclusion : Quarkus est intéressant pour les nouveaux projets ou ceux prêts à être réécrits, mais la migration d'un projet existant est un vrai défi. LangChain4j 1.2.0 : Nouvelles fonctionnalités et améliorations https://github.com/langchain4j/langchain4j/releases/tag/1.2.0 Modules stables : Les modules langchain4j-anthropic, langchain4j-azure-open-ai, langchain4j-bedrock, langchain4j-google-ai-gemini, langchain4j-mistral-ai et langchain4j-ollama sont désormais en version stable 1.2.0. Modules expérimentaux : La plupart des autres modules de LangChain4j sont en version 1.2.0-beta8 et restent expérimentaux/instables. BOM mis à jour : Le langchain4j-bom a été mis à jour en version 1.2.0, incluant les dernières versions de tous les modules. Principales améliorations : Support du raisonnement/pensée dans les modèles. Appels d'outils partiels en streaming. Option MCP pour exposer automatiquement les ressources en tant qu'outils. OpenAI : possibilité de définir des paramètres de requête personnalisés et d'accéder aux réponses HTTP brutes et aux événements SSE. Améliorations de la gestion des erreurs et de la documentation. Filtering Metadata Infinispan ! (cc Katia( Et 1.3.0 est déjà disponible https://github.com/langchain4j/langchain4j/releases/tag/1.3.0 2 nouveaux modules expérimentaux, langchain4j-agentic et langchain4j-agentic-a2a qui introduisent un ensemble d'abstractions et d'utilitaires pour construire des applications agentiques Infrastructure Cette fois c'est vraiment l'année de Linux sur le desktop ! https://www.lesnumeriques.com/informatique/c-est-enfin-arrive-linux-depasse-un-seuil-historique-que-microsoft-pensait-intouchable-n239977.html Linux a franchi la barre des 5% aux USA Cette progression s'explique en grande partie par l'essor des systèmes basés sur Linux dans les environnements professionnels, les serveurs, et certains usages grand public. Microsoft, longtemps dominant avec Windows, voyait ce seuil comme difficilement atteignable à court terme. Le succès de Linux est également alimenté par la popularité croissante des distributions open source, plus légères, personnalisables et adaptées à des usages variés. Le cloud, l'IoT, et les infrastructures de serveurs utilisent massivement Linux, ce qui contribue à cette augmentation globale. Ce basculement symbolique marque un changement d'équilibre dans l'écosystème des systèmes d'exploitation. Toutefois, Windows conserve encore une forte présence dans certains segments, notamment chez les particuliers et dans les entreprises classiques. Cette évolution témoigne du dynamisme et de la maturité croissante des solutions Linux, devenues des alternatives crédibles et robustes face aux offres propriétaires. Cloud Cloudflare 1.1.1.1 s'en va pendant une heure d'internet https://blog.cloudflare.com/cloudflare–1–1–1–1-incident-on-july–14–2025/ Le 14 juillet 2025, le service DNS public Cloudflare 1.1.1.1 a subi une panne majeure de 62 minutes, rendant le service indisponible pour la majorité des utilisateurs mondiaux. Cette panne a aussi causé une dégradation intermittente du service Gateway DNS. L'incident est survenu suite à une mise à jour de la topologie des services Cloudflare qui a activé une erreur de configuration introduite en juin 2025. Cette erreur faisait que les préfixes destinés au service 1.1.1.1 ont été accidentellement inclus dans un nouveau service de localisation des données (Data Localization Suite), ce qui a perturbé le routage anycast. Le résultat a été une incapacité pour les utilisateurs à résoudre les noms de domaine via 1.1.1.1, rendant la plupart des services Internet inaccessibles pour eux. Ce n'était pas le résultat d'une attaque ou d'un problème BGP, mais une erreur interne de configuration. Cloudflare a rapidement identifié la cause, corrigé la configuration et mis en place des mesures pour prévenir ce type d'incident à l'avenir. Le service est revenu à la normale après environ une heure d'indisponibilité. L'incident souligne la complexité et la sensibilité des infrastructures anycast et la nécessité d'une gestion rigoureuse des configurations réseau. Web L'évolution des bonnes pratiques de Node.js https://kashw1n.com/blog/nodejs–2025/ Évolution de Node.js en 2025 : Le développement se tourne vers les standards du web, avec moins de dépendances externes et une meilleure expérience pour les développeurs. ES Modules (ESM) par défaut : Remplacement de CommonJS pour un meilleur outillage et une standardisation avec le web. Utilisation du préfixe node: pour les modules natifs afin d'éviter les conflits. API web intégrées : fetch, AbortController, et AbortSignal sont maintenant natifs, réduisant le besoin de librairies comme axios. Runner de test intégré : Plus besoin de Jest ou Mocha pour la plupart des cas. Inclut un mode “watch” et des rapports de couverture. Patterns asynchrones avancés : Utilisation plus poussée de async/await avec Promise.all() pour le parallélisme et les AsyncIterators pour les flux d'événements. Worker Threads pour le parallélisme : Pour les tâches lourdes en CPU, évitant de bloquer l'event loop principal. Expérience de développement améliorée : Intégration du mode --watch (remplace nodemon) et du support --env-file (remplace dotenv). Sécurité et performance : Modèle de permission expérimental pour restreindre l'accès et des hooks de performance natifs pour le monitoring. Distribution simplifiée : Création d'exécutables uniques pour faciliter le déploiement d'applications ou d'outils en ligne de commande. Sortie de Apache EChart 6 après 12 ans ! https://echarts.apache.org/handbook/en/basics/release-note/v6-feature/ Apache ECharts 6.0 : Sortie officielle après 12 ans d'évolution. 12 mises à niveau majeures pour la visualisation de données. Trois dimensions clés d'amélioration : Présentation visuelle plus professionnelle : Nouveau thème par défaut (design moderne). Changement dynamique de thème. Prise en charge du mode sombre. Extension des limites de l'expression des données : Nouveaux types de graphiques : Diagramme de cordes (Chord Chart), Nuage de points en essaim (Beeswarm Chart). Nouvelles fonctionnalités : Jittering pour nuages de points denses, Axes coupés (Broken Axis). Graphiques boursiers améliorés Liberté de composition : Nouveau système de coordonnées matriciel. Séries personnalisées améliorées (réutilisation du code, publication npm). Nouveaux graphiques personnalisés inclus (violon, contour, etc.). Optimisation de l'agencement des étiquettes d'axe. Data et Intelligence Artificielle Grok 4 s'est pris pour un nazi à cause des tools https://techcrunch.com/2025/07/15/xai-says-it-has-fixed-grok–4s-problematic-responses/ À son lancement, Grok 4 a généré des réponses offensantes, notamment en se surnommant « MechaHitler » et en adoptant des propos antisémites. Ce comportement provenait d'une recherche automatique sur le web qui a mal interprété un mème viral comme une vérité. Grok alignait aussi ses réponses controversées sur les opinions d'Elon Musk et de xAI, ce qui a amplifié les biais. xAI a identifié que ces dérapages étaient dus à une mise à jour interne intégrant des instructions encourageant un humour offensant et un alignement avec Musk. Pour corriger cela, xAI a supprimé le code fautif, remanié les prompts système, et imposé des directives demandant à Grok d'effectuer une analyse indépendante, en utilisant des sources diverses. Grok doit désormais éviter tout biais, ne plus adopter un humour politiquement incorrect, et analyser objectivement les sujets sensibles. xAI a présenté ses excuses, précisant que ces dérapages étaient dus à un problème de prompt et non au modèle lui-même. Cet incident met en lumière les défis persistants d'alignement et de sécurité des modèles d'IA face aux injections indirectes issues du contenu en ligne. La correction n'est pas qu'un simple patch technique, mais un exemple des enjeux éthiques et de responsabilité majeurs dans le déploiement d'IA à grande échelle. Guillaume a sorti toute une série d'article sur les patterns agentiques avec le framework ADK pour Java https://glaforge.dev/posts/2025/07/29/mastering-agentic-workflows-with-adk-the-recap/ Un premier article explique comment découper les tâches en sous-agents IA : https://glaforge.dev/posts/2025/07/23/mastering-agentic-workflows-with-adk-sub-agents/ Un deuxième article détaille comment organiser les agents de manière séquentielle : https://glaforge.dev/posts/2025/07/24/mastering-agentic-workflows-with-adk-sequential-agent/ Un troisième article explique comment paralleliser des tâches indépendantes : https://glaforge.dev/posts/2025/07/25/mastering-agentic-workflows-with-adk-parallel-agent/ Et enfin, comment faire des boucles d'amélioration : https://glaforge.dev/posts/2025/07/28/mastering-agentic-workflows-with-adk-loop-agents/ Tout ça évidemment en Java :slightly_smiling_face: 6 semaines de code avec Claude https://blog.puzzmo.com/posts/2025/07/30/six-weeks-of-claude-code/ Orta partage son retour après 6 semaines d'utilisation quotidienne de Claude Code, qui a profondément changé sa manière de coder. Il ne « code » plus vraiment ligne par ligne, mais décrit ce qu'il veut, laisse Claude proposer une solution, puis corrige ou ajuste. Cela permet de se concentrer sur le résultat plutôt que sur l'implémentation, comme passer de la peinture au polaroid. Claude s'avère particulièrement utile pour les tâches de maintenance : migrations, refactors, nettoyage de code. Il reste toujours en contrôle, révise chaque diff généré, et guide l'IA via des prompts bien cadrés. Il note qu'il faut quelques semaines pour prendre le bon pli : apprendre à découper les tâches et formuler clairement les attentes. Les tâches simples deviennent quasi instantanées, mais les tâches complexes nécessitent encore de l'expérience et du discernement. Claude Code est vu comme un très bon copilote, mais ne remplace pas le rôle du développeur qui comprend l'ensemble du système. Le gain principal est une vitesse de feedback plus rapide et une boucle d'itération beaucoup plus courte. Ce type d'outil pourrait bien redéfinir la manière dont on pense et structure le développement logiciel à moyen terme. Claude Code et les serveurs MCP : ou comment transformer ton terminal en assistant surpuissant https://touilleur-express.fr/2025/07/27/claude-code-et-les-serveurs-mcp-ou-comment-transformer-ton-terminal-en-assistant-surpuissant/ Nicolas continue ses études sur Claude Code et explique comment utiliser les serveurs MCP pour rendre Claude bien plus efficace. Le MCP Context7 montre comment fournir à l'IA la doc technique à jour (par exemple, Next.js 15) pour éviter les hallucinations ou les erreurs. Le MCP Task Master, autre serveur MCP, transforme un cahier des charges (PRD) en tâches atomiques, estimées, et organisées sous forme de plan de travail. Le MCP Playwright permet de manipuler des navigateurs et d'executer des tests E2E Le MCP Digital Ocean permet de déployer facilement l'application en production Tout n'est pas si ideal, les quotas sont atteints en quelques heures sur une petite application et il y a des cas où il reste bien plus efficace de le faire soit-même (pour un codeur expérimenté) Nicolas complète cet article avec l'écriture d'un MVP en 20 heures: https://touilleur-express.fr/2025/07/30/comment-jai-code-un-mvp-en-une-vingtaine-dheures-avec-claude-code/ Le développement augmenté, un avis politiquement correct, mais bon… https://touilleur-express.fr/2025/07/31/le-developpement-augmente-un-avis-politiquement-correct-mais-bon/ Nicolas partage un avis nuancé (et un peu provoquant) sur le développement augmenté, où l'IA comme Claude Code assiste le développeur sans le remplacer. Il rejette l'idée que cela serait « trop magique » ou « trop facile » : c'est une évolution logique de notre métier, pas un raccourci pour les paresseux. Pour lui, un bon dev reste celui qui structure bien sa pensée, sait poser un problème, découper, valider — même si l'IA aide à coder plus vite. Il raconte avoir codé une app OAuth, testée, stylisée et déployée en quelques heures, sans jamais quitter le terminal grâce à Claude. Ce genre d'outillage change le rapport au temps : on passe de « je vais y réfléchir » à « je tente tout de suite une version qui marche à peu près ». Il assume aimer cette approche rapide et imparfaite : mieux vaut une version brute livrée vite qu'un projet bloqué par le perfectionnisme. L'IA est selon lui un super stagiaire : jamais fatigué, parfois à côté de la plaque, mais diablement productif quand bien briefé. Il conclut que le « dev augmenté » ne remplace pas les bons développeurs… mais les développeurs moyens doivent s'y mettre, sous peine d'être dépassés. ChatGPT lance le mode d'étude : un apprentissage interactif pas à pas https://openai.com/index/chatgpt-study-mode/ OpenAI propose un mode d'étude dans ChatGPT qui guide les utilisateurs pas à pas plutôt que de donner directement la réponse. Ce mode vise à encourager la réflexion active et l'apprentissage en profondeur. Il utilise des instructions personnalisées pour poser des questions et fournir des explications adaptées au niveau de l'utilisateur. Le mode d'étude favorise la gestion de la charge cognitive et stimule la métacognition. Il propose des réponses structurées pour faciliter la compréhension progressive des sujets. Disponible dès maintenant pour les utilisateurs connectés, ce mode sera intégré dans ChatGPT Edu. L'objectif est de transformer ChatGPT en un véritable tuteur numérique, aidant les étudiants à mieux assimiler les connaissances. A priori Gemini viendrait de sortir un fonctionnalité similaire Lancement de GPT-OSS par OpenAI https://openai.com/index/introducing-gpt-oss/ https://openai.com/index/gpt-oss-model-card/ OpenAI a lancé GPT-OSS, sa première famille de modèles open-weight depuis GPT–2. Deux modèles sont disponibles : gpt-oss–120b et gpt-oss–20b, qui sont des modèles mixtes d'experts conçus pour le raisonnement et les tâches d'agent. Les modèles sont distribués sous licence Apache 2.0, permettant leur utilisation et leur personnalisation gratuites, y compris pour des applications commerciales. Le modèle gpt-oss–120b est capable de performances proches du modèle OpenAI o4-mini, tandis que le gpt-oss–20b est comparable au o3-mini. OpenAI a également open-sourcé un outil de rendu appelé Harmony en Python et Rust pour en faciliter l'adoption. Les modèles sont optimisés pour fonctionner localement et sont pris en charge par des plateformes comme Hugging Face et Ollama. OpenAI a mené des recherches sur la sécurité pour s'assurer que les modèles ne pouvaient pas être affinés pour des utilisations malveillantes dans les domaines biologique, chimique ou cybernétique. Anthropic lance Opus 4.1 https://www.anthropic.com/news/claude-opus–4–1 Anthropic a publié Claude Opus 4.1, une mise à jour de son modèle de langage. Cette nouvelle version met l'accent sur l'amélioration des performances en codage, en raisonnement et sur les tâches de recherche et d'analyse de données. Le modèle a obtenu un score de 74,5 % sur le benchmark SWE-bench Verified, ce qui représente une amélioration par rapport à la version précédente. Il excelle notamment dans la refactorisation de code multifichier et est capable d'effectuer des recherches approfondies. Claude Opus 4.1 est disponible pour les utilisateurs payants de Claude, ainsi que via l'API, Amazon Bedrock et Vertex AI de Google Cloud, avec des tarifs identiques à ceux d'Opus 4. Il est présenté comme un remplacement direct de Claude Opus 4, avec des performances et une précision supérieures pour les tâches de programmation réelles. OpenAI Summer Update. GPT–5 is out https://openai.com/index/introducing-gpt–5/ Détails https://openai.com/index/gpt–5-new-era-of-work/ https://openai.com/index/introducing-gpt–5-for-developers/ https://openai.com/index/gpt–5-safe-completions/ https://openai.com/index/gpt–5-system-card/ Amélioration majeure des capacités cognitives - GPT‑5 montre un niveau de raisonnement, d'abstraction et de compréhension nettement supérieur aux modèles précédents. Deux variantes principales - gpt-5-main : rapide, efficace pour les tâches générales. gpt-5-thinking : plus lent mais spécialisé dans les tâches complexes, nécessitant réflexion profonde. Routeur intelligent intégré - Le système sélectionne automatiquement la version la plus adaptée à la tâche (rapide ou réfléchie), sans intervention de l'utilisateur. Fenêtre de contexte encore étendue - GPT‑5 peut traiter des volumes de texte plus longs (jusqu'à 1 million de tokens dans certaines versions), utile pour des documents ou projets entiers. Réduction significative des hallucinations - GPT‑5 donne des réponses plus fiables, avec moins d'erreurs inventées ou de fausses affirmations. Comportement plus neutre et moins sycophant - Il a été entraîné pour mieux résister à l'alignement excessif avec les opinions de l'utilisateur. Capacité accrue à suivre des instructions complexes - GPT‑5 comprend mieux les consignes longues, implicites ou nuancées. Approche “Safe completions” - Remplacement des “refus d'exécution” par des réponses utiles mais sûres — le modèle essaie de répondre avec prudence plutôt que bloquer. Prêt pour un usage professionnel à grande échelle - Optimisé pour le travail en entreprise : rédaction, programmation, synthèse, automatisation, gestion de tâches, etc. Améliorations spécifiques pour le codage - GPT‑5 est plus performant pour l'écriture de code, la compréhension de contextes logiciels complexes, et l'usage d'outils de développement. Expérience utilisateur plus rapide et fluide- Le système réagit plus vite grâce à une orchestration optimisée entre les différents sous-modèles. Capacités agentiques renforcées - GPT‑5 peut être utilisé comme base pour des agents autonomes capables d'accomplir des objectifs avec peu d'interventions humaines. Multimodalité maîtrisée (texte, image, audio) - GPT‑5 intègre de façon plus fluide la compréhension de formats multiples, dans un seul modèle. Fonctionnalités pensées pour les développeurs - Documentation plus claire, API unifiée, modèles plus transparents et personnalisables. Personnalisation contextuelle accrue - Le système s'adapte mieux au style, ton ou préférences de l'utilisateur, sans instructions répétées. Utilisation énergétique et matérielle optimisée - Grâce au routeur interne, les ressources sont utilisées plus efficacement selon la complexité des tâches. Intégration sécurisée dans les produits ChatGPT - Déjà déployé dans ChatGPT avec des bénéfices immédiats pour les utilisateurs Pro et entreprises. Modèle unifié pour tous les usages - Un seul système capable de passer de la conversation légère à des analyses scientifiques ou du code complexe. Priorité à la sécurité et à l'alignement - GPT‑5 a été conçu dès le départ pour minimiser les abus, biais ou comportements indésirables. Pas encore une AGI - OpenAI insiste : malgré ses capacités impressionnantes, GPT‑5 n'est pas une intelligence artificielle générale. Non, non, les juniors ne sont pas obsolètes malgré l'IA ! (dixit GitHub) https://github.blog/ai-and-ml/generative-ai/junior-developers-arent-obsolete-heres-how-to-thrive-in-the-age-of-ai/ L'IA transforme le développement logiciel, mais les développeurs juniors ne sont pas obsolètes. Les nouveaux apprenants sont bien positionnés, car déjà familiers avec les outils IA. L'objectif est de développer des compétences pour travailler avec l'IA, pas d'être remplacé. La créativité et la curiosité sont des qualités humaines clés. Cinq façons de se démarquer : Utiliser l'IA (ex: GitHub Copilot) pour apprendre plus vite, pas seulement coder plus vite (ex: mode tuteur, désactiver l'autocomplétion temporairement). Construire des projets publics démontrant ses compétences (y compris en IA). Maîtriser les workflows GitHub essentiels (GitHub Actions, contribution open source, pull requests). Affûter son expertise en révisant du code (poser des questions, chercher des patterns, prendre des notes). Déboguer plus intelligemment et rapidement avec l'IA (ex: Copilot Chat pour explications, corrections, tests). Ecrire son premier agent IA avec A2A avec WildFly par Emmanuel Hugonnet https://www.wildfly.org/news/2025/08/07/Building-your-First-A2A-Agent/ Protocole Agent2Agent (A2A) : Standard ouvert pour l'interopérabilité universelle des agents IA. Permet communication et collaboration efficaces entre agents de différents fournisseurs/frameworks. Crée des écosystèmes multi-agents unifiés, automatisant les workflows complexes. Objet de l'article : Guide pour construire un premier agent A2A (agent météo) dans WildFly. Utilise A2A Java SDK pour Jakarta Servers, WildFly AI Feature Pack, un LLM (Gemini) et un outil Python (MCP). Agent conforme A2A v0.2.5. Prérequis : JDK 17+, Apache Maven 3.8+, IDE Java, Google AI Studio API Key, Python 3.10+, uv. Étapes de construction de l'agent météo : Création du service LLM : Interface Java (WeatherAgent) utilisant LangChain4J pour interagir avec un LLM et un outil Python MCP (fonctions get_alerts, get_forecast). Définition de l'agent A2A (via CDI) : ▪︎ Agent Card : Fournit les métadonnées de l'agent (nom, description, URL, capacités, compétences comme “weather_search”). Agent Executor : Gère les requêtes A2A entrantes, extrait le message utilisateur, appelle le service LLM et formate la réponse. Exposition de l'agent : Enregistrement d'une application JAX-RS pour les endpoints. Déploiement et test : Configuration de l'outil A2A-inspector de Google (via un conteneur Podman). Construction du projet Maven, configuration des variables d'environnement (ex: GEMINI_API_KEY). Lancement du serveur WildFly. Conclusion : Transformation minimale d'une application IA en agent A2A. Permet la collaboration et le partage d'informations entre agents IA, indépendamment de leur infrastructure sous-jacente. Outillage IntelliJ IDEa bouge vers une distribution unifiée https://blog.jetbrains.com/idea/2025/07/intellij-idea-unified-distribution-plan/ À partir de la version 2025.3, IntelliJ IDEA Community Edition ne sera plus distribuée séparément. Une seule version unifiée d'IntelliJ IDEA regroupera les fonctionnalités des éditions Community et Ultimate. Les fonctionnalités avancées de l'édition Ultimate seront accessibles via abonnement. Les utilisateurs sans abonnement auront accès à une version gratuite enrichie par rapport à l'édition Community actuelle. Cette unification vise à simplifier l'expérience utilisateur et réduire les différences entre les éditions. Les utilisateurs Community seront automatiquement migrés vers cette nouvelle version unifiée. Il sera possible d'activer les fonctionnalités Ultimate temporairement d'un simple clic. En cas d'expiration d'abonnement Ultimate, l'utilisateur pourra continuer à utiliser la version installée avec un jeu limité de fonctionnalités gratuites, sans interruption. Ce changement reflète l'engagement de JetBrains envers l'open source et l'adaptation aux besoins de la communauté. Prise en charge des Ancres YAML dans GitHub Actions https://github.com/actions/runner/issues/1182#issuecomment–3150797791 Afin d'éviter de dupliquer du contenu dans un workflow les Ancres permettent d'insérer des morceaux réutilisables de YAML Fonctionnalité attendue depuis des années et disponible chez GitLab depuis bien longtemps. Elle a été déployée le 4 aout. Attention à ne pas en abuser car la lisibilité de tels documents n'est pas si facile Gemini CLI rajoute les custom commands comme Claude https://cloud.google.com/blog/topics/developers-practitioners/gemini-cli-custom-slash-commands Mais elles sont au format TOML, on ne peut donc pas les partager avec Claude :disappointed: Automatiser ses workflows IA avec les hooks de Claude Code https://blog.gitbutler.com/automate-your-ai-workflows-with-claude-code-hooks/ Claude Code propose des hooks qui permettent d'exécuter des scripts à différents moments d'une session, par exemple au début, lors de l'utilisation d'outils, ou à la fin. Ces hooks facilitent l'automatisation de tâches comme la gestion de branches Git, l'envoi de notifications, ou l'intégration avec d'autres outils. Un exemple simple est l'envoi d'une notification sur le bureau à la fin d'une session. Les hooks se configurent via trois fichiers JSON distincts selon le scope : utilisateur, projet ou local. Sur macOS, l'envoi de notifications nécessite une permission spécifique via l'application “Script Editor”. Il est important d'avoir une version à jour de Claude Code pour utiliser ces hooks. GitButler permet desormais de s'intégrer à Claude Code via ces hooks: https://blog.gitbutler.com/parallel-claude-code/ Le client Git de Jetbrains bientot en standalone https://lp.jetbrains.com/closed-preview-for-jetbrains-git-client/ Demandé par certains utilisateurs depuis longtemps Ca serait un client graphique du même style qu'un GitButler, SourceTree, etc Apache Maven 4 …. arrive …. l'utilitaire mvnupva vous aider à upgrader https://maven.apache.org/tools/mvnup.html Fixe les incompatibilités connues Nettoie les redondances et valeurs par defaut (versions par ex) non utiles pour Maven 4 Reformattage selon les conventions maven … Une GitHub Action pour Gemini CLI https://blog.google/technology/developers/introducing-gemini-cli-github-actions/ Google a lancé Gemini CLI GitHub Actions, un agent d'IA qui fonctionne comme un “coéquipier de code” pour les dépôts GitHub. L'outil est gratuit et est conçu pour automatiser des tâches de routine telles que le triage des problèmes (issues), l'examen des demandes de tirage (pull requests) et d'autres tâches de développement. Il agit à la fois comme un agent autonome et un collaborateur que les développeurs peuvent solliciter à la demande, notamment en le mentionnant dans une issue ou une pull request. L'outil est basé sur la CLI Gemini, un agent d'IA open-source qui amène le modèle Gemini directement dans le terminal. Il utilise l'infrastructure GitHub Actions, ce qui permet d'isoler les processus dans des conteneurs séparés pour des raisons de sécurité. Trois flux de travail (workflows) open-source sont disponibles au lancement : le triage intelligent des issues, l'examen des pull requests et la collaboration à la demande. Pas besoin de MCP, le code est tout ce dont vous avez besoin https://lucumr.pocoo.org/2025/7/3/tools/ Armin souligne qu'il n'est pas fan du protocole MCP (Model Context Protocol) dans sa forme actuelle : il manque de composabilité et exige trop de contexte. Il remarque que pour une même tâche (ex. GitHub), utiliser le CLI est souvent plus rapide et plus efficace en termes de contexte que passer par un serveur MCP. Selon lui, le code reste la solution la plus simple et fiable, surtout pour automatiser des tâches répétitives. Il préfère créer des scripts clairs plutôt que se reposer sur l'inférence LLM : cela facilite la vérification, la maintenance et évite les erreurs subtiles. Pour les tâches récurrentes, si on les automatise, mieux vaut le faire avec du code reusable, plutôt que de laisser l'IA deviner à chaque fois. Il illustre cela en convertissant son blog entier de reStructuredText à Markdown : plutôt qu'un usage direct d'IA, il a demandé à Claude de générer un script complet, avec parsing AST, comparaison des fichiers, validation et itération. Ce workflow LLM→code→LLM (analyse et validation) lui a donné confiance dans le résultat final, tout en conservant un contrôle humain sur le processus. Il juge que MCP ne permet pas ce type de pipeline automatisé fiable, car il introduit trop d'inférence et trop de variations par appel. Pour lui, coder reste le meilleur moyen de garder le contrôle, la reproductibilité et la clarté dans les workflows automatisés. MCP vs CLI … https://www.async-let.com/blog/my-take-on-the-mcp-verses-cli-debate/ Cameron raconte son expérience de création du serveur XcodeBuildMCP, qui lui a permis de mieux comprendre le débat entre servir l'IA via MCP ou laisser l'IA utiliser directement les CLI du système. Selon lui, les CLIs restent préférables pour les développeurs experts recherchant contrôle, transparence, performance et simplicité. Mais les serveurs MCP excellent sur les workflows complexes, les contextes persistants, les contraintes de sécurité, et facilitent l'accès pour les utilisateurs moins expérimentés. Il reconnaît la critique selon laquelle MCP consomme trop de contexte (« context bloat ») et que les appels CLI peuvent être plus rapides et compréhensibles. Toutefois, il souligne que beaucoup de problèmes proviennent de la qualité des implémentations clients, pas du protocole MCP en lui‑même. Pour lui, un bon serveur MCP peut proposer des outils soigneusement définis qui simplifient la vie de l'IA (par exemple, renvoyer des données structurées plutôt que du texte brut à parser). Il apprécie la capacité des MCP à offrir des opérations état‑durables (sessions, mémoire, logs capturés), ce que les CLI ne gèrent pas naturellement. Certains scénarios ne peuvent pas fonctionner via CLI (pas de shell accessible) alors que MCP, en tant que protocole indépendant, reste utilisable par n'importe quel client. Son verdict : pas de solution universelle — chaque contexte mérite d'être évalué, et on ne devrait pas imposer MCP ou CLI à tout prix. Jules, l'agent de code asynchrone gratuit de Google, est sorti de beta et est disponible pour tout le monde https://blog.google/technology/google-labs/jules-now-available/ Jules, agent de codage asynchrone, est maintenant publiquement disponible. Propulsé par Gemini 2.5 Pro. Phase bêta : 140 000+ améliorations de code et retours de milliers de développeurs. Améliorations : interface utilisateur, corrections de bugs, réutilisation des configurations, intégration GitHub Issues, support multimodal. Gemini 2.5 Pro améliore les plans de codage et la qualité du code. Nouveaux paliers structurés : Introductif, Google AI Pro (limites 5x supérieures), Google AI Ultra (limites 20x supérieures). Déploiement immédiat pour les abonnés Google AI Pro et Ultra, incluant les étudiants éligibles (un an gratuit de AI Pro). Architecture Valoriser la réduction de la dette technique : un vrai défi https://www.lemondeinformatique.fr/actualites/lire-valoriser-la-reduction-de-la-dette-technique-mission-impossible–97483.html La dette technique est un concept mal compris et difficile à valoriser financièrement auprès des directions générales. Les DSI ont du mal à mesurer précisément cette dette, à allouer des budgets spécifiques, et à prouver un retour sur investissement clair. Cette difficulté limite la priorisation des projets de réduction de dette technique face à d'autres initiatives jugées plus urgentes ou stratégiques. Certaines entreprises intègrent progressivement la gestion de la dette technique dans leurs processus de développement. Des approches comme le Software Crafting visent à améliorer la qualité du code pour limiter l'accumulation de cette dette. L'absence d'outils adaptés pour mesurer les progrès rend la démarche encore plus complexe. En résumé, réduire la dette technique reste une mission délicate qui nécessite innovation, méthode et sensibilisation en interne. Il ne faut pas se Mocker … https://martinelli.ch/why-i-dont-use-mocking-frameworks-and-why-you-might-not-need-them-either/ https://blog.tremblay.pro/2025/08/not-using-mocking-frmk.html L'auteur préfère utiliser des fakes ou stubs faits à la main plutôt que des frameworks de mocking comme Mockito ou EasyMock. Les frameworks de mocking isolent le code, mais entraînent souvent : Un fort couplage entre les tests et les détails d'implémentation. Des tests qui valident le mock plutôt que le comportement réel. Deux principes fondamentaux guident son approche : Favoriser un design fonctionnel, avec logique métier pure (fonctions sans effets de bord). Contrôler les données de test : par exemple en utilisant des bases réelles (via Testcontainers) plutôt que de simuler. Dans sa pratique, les seuls cas où un mock externe est utilisé concernent les services HTTP externes, et encore il préfère en simuler seulement le transport plutôt que le comportement métier. Résultat : les tests deviennent plus simples, plus rapides à écrire, plus fiables, et moins fragiles aux évolutions du code. L'article conclut que si tu conçois correctement ton code, tu pourrais très bien ne pas avoir besoin de frameworks de mocking du tout. Le blog en réponse d'Henri Tremblay nuance un peu ces retours Méthodologies C'est quoi être un bon PM ? (Product Manager) Article de Chris Perry, un PM chez Google : https://thechrisperry.substack.com/p/being-a-good-pm-at-google Le rôle de PM est difficile : Un travail exigeant, où il faut être le plus impliqué de l'équipe pour assurer le succès. 1. Livrer (shipper) est tout ce qui compte : La priorité absolue. Mieux vaut livrer et itérer rapidement que de chercher la perfection en théorie. Un produit livré permet d'apprendre de la réalité. 2. Donner l'envie du grand large : La meilleure façon de faire avancer un projet est d'inspirer l'équipe avec une vision forte et désirable. Montrer le “pourquoi”. 3. Utiliser son produit tous les jours : Non négociable pour réussir. Permet de développer une intuition et de repérer les vrais problèmes que la recherche utilisateur ne montre pas toujours. 4. Être un bon ami : Créer des relations authentiques et aider les autres est un facteur clé de succès à long terme. La confiance est la base d'une exécution rapide. 5. Donner plus qu'on ne reçoit : Toujours chercher à aider et à collaborer. La stratégie optimale sur la durée est la coopération. Ne pas être possessif avec ses idées. 6. Utiliser le bon levier : Pour obtenir une décision, il faut identifier la bonne personne qui a le pouvoir de dire “oui”, et ne pas se laisser bloquer par des avis non décisionnaires. 7. N'aller que là où on apporte de la valeur : Combler les manques, faire le travail ingrat que personne ne veut faire. Savoir aussi s'écarter (réunions, projets) quand on n'est pas utile. 8. Le succès a plusieurs parents, l'échec est orphelin : Si le produit réussit, c'est un succès d'équipe. S'il échoue, c'est la faute du PM. Il faut assumer la responsabilité finale. Conclusion : Le PM est un chef d'orchestre. Il ne peut pas jouer de tous les instruments, mais son rôle est d'orchestrer avec humilité le travail de tous pour créer quelque chose d'harmonieux. Tester des applications Spring Boot prêtes pour la production : points clés https://www.wimdeblauwe.com/blog/2025/07/30/how-i-test-production-ready-spring-boot-applications/ L'auteur (Wim Deblauwe) détaille comment il structure ses tests dans une application Spring Boot destinée à la production. Le projet inclut automatiquement la dépendance spring-boot-starter-test, qui regroupe JUnit 5, AssertJ, Mockito, Awaitility, JsonAssert, XmlUnit et les outils de testing Spring. Tests unitaires : ciblent les fonctions pures (record, utilitaire), testés simplement avec JUnit et AssertJ sans démarrage du contexte Spring. Tests de cas d'usage (use case) : orchestrent la logique métier, généralement via des use cases qui utilisent un ou plusieurs dépôts de données. Tests JPA/repository : vérifient les interactions avec la base via des tests realisant des opérations CRUD (avec un contexte Spring pour la couche persistance). Tests de contrôleur : permettent de tester les endpoints web (ex. @WebMvcTest), souvent avec MockBean pour simuler les dépendances. Tests d'intégration complets : ils démarrent tout le contexte Spring (@SpringBootTest) pour tester l'application dans son ensemble. L'auteur évoque également des tests d'architecture, mais sans entrer dans le détail dans cet article. Résultat : une pyramide de tests allant des plus rapides (unitaires) aux plus complets (intégration), garantissant fiabilité, vitesse et couverture sans surcharge inutile. Sécurité Bitwarden offre un serveur MCP pour que les agents puissent accéder aux mots de passe https://nerds.xyz/2025/07/bitwarden-mcp-server-secure-ai/ Bitwarden introduit un serveur MCP (Model Context Protocol) destiné à intégrer de manière sécurisée les agents IA dans les workflows de gestion de mots de passe. Ce serveur fonctionne en architecture locale (local-first) : toutes les interactions et les données sensibles restent sur la machine de l'utilisateur, garantissant l'application du principe de chiffrement zero‑knowledge. L'intégration se fait via l'interface CLI de Bitwarden, permettant aux agents IA de générer, récupérer, modifier et verrouiller les identifiants via des commandes sécurisées. Le serveur peut être auto‑hébergé pour un contrôle maximal des données. Le protocole MCP est un standard ouvert qui permet de connecter de façon uniforme des agents IA à des sources de données et outils tiers, simplifiant les intégrations entre LLM et applications. Une démo avec Claude (agent IA d'Anthropic) montre que l'IA peut interagir avec le coffre Bitwarden : vérifier l'état, déverrouiller le vault, générer ou modifier des identifiants, le tout sans intervention humaine directe. Bitwarden affiche une approche priorisant la sécurité, mais reconnaît les risques liés à l'utilisation d'IA autonome. L'usage d'un LLM local privé est fortement recommandé pour limiter les vulnérabilités. Si tu veux, je peux aussi te résumer les enjeux principaux (interopérabilité, sécurité, cas d'usage) ou un extrait spécifique ! NVIDIA a une faille de securite critique https://www.wiz.io/blog/nvidia-ai-vulnerability-cve–2025–23266-nvidiascape Il s'agit d'une faille d'évasion de conteneur dans le NVIDIA Container Toolkit. La gravité est jugée critique avec un score CVSS de 9.0. Cette vulnérabilité permet à un conteneur malveillant d'obtenir un accès root complet sur l'hôte. L'origine du problème vient d'une mauvaise configuration des hooks OCI dans le toolkit. L'exploitation peut se faire très facilement, par exemple avec un Dockerfile de seulement trois lignes. Le risque principal concerne la compromission de l'isolation entre différents clients sur des infrastructures cloud GPU partagées. Les versions affectées incluent toutes les versions du NVIDIA Container Toolkit jusqu'à la 1.17.7 et du NVIDIA GPU Operator jusqu'à la version 25.3.1. Pour atténuer le risque, il est recommandé de mettre à jour vers les dernières versions corrigées. En attendant, il est possible de désactiver certains hooks problématiques dans la configuration pour limiter l'exposition. Cette faille met en lumière l'importance de renforcer la sécurité des environnements GPU partagés et la gestion des conteneurs AI. Fuite de données de l'application Tea : points essentiels https://knowyourmeme.com/memes/events/the-tea-app-data-leak Tea est une application lancée en 2023 qui permet aux femmes de laisser des avis anonymes sur des hommes rencontrés. En juillet 2025, une importante fuite a exposé environ 72 000 images sensibles (selfies, pièces d'identité) et plus d'1,1 million de messages privés. La fuite a été révélée après qu'un utilisateur ait partagé un lien pour télécharger la base de données compromise. Les données touchées concernaient majoritairement des utilisateurs inscrits avant février 2024, date à laquelle l'application a migré vers une infrastructure plus sécurisée. En réponse, Tea prévoit de proposer des services de protection d'identité aux utilisateurs impactés. Faille dans le paquet npm is : attaque en chaîne d'approvisionnement https://socket.dev/blog/npm-is-package-hijacked-in-expanding-supply-chain-attack Une campagne de phishing ciblant les mainteneurs npm a compromis plusieurs comptes, incluant celui du paquet is. Des versions compromises du paquet is (notamment les versions 3.3.1 et 5.0.0) contenaient un chargeur de malware JavaScript destiné aux systèmes Windows. Ce malware a offert aux attaquants un accès à distance via WebSocket, permettant potentiellement l'exécution de code arbitraire. L'attaque fait suite à d'autres compromissions de paquets populaires comme eslint-config-prettier, eslint-plugin-prettier, synckit, @pkgr/core, napi-postinstall, et got-fetch. Tous ces paquets ont été publiés sans aucun commit ou PR sur leurs dépôts GitHub respectifs, signalant un accès non autorisé aux tokens mainteneurs. Le domaine usurpé [npnjs.com](http://npnjs.com) a été utilisé pour collecter les jetons d'accès via des emails de phishing trompeurs. L'épisode met en lumière la fragilité des chaînes d'approvisionnement logicielle dans l'écosystème npm et la nécessité d'adopter des pratiques renforcées de sécurité autour des dépendances. Revues de sécurité automatisées avec Claude Code https://www.anthropic.com/news/automate-security-reviews-with-claude-code Anthropic a lancé des fonctionnalités de sécurité automatisées pour Claude Code, un assistant de codage d'IA en ligne de commande. Ces fonctionnalités ont été introduites en réponse au besoin croissant de maintenir la sécurité du code alors que les outils d'IA accélèrent considérablement le développement de logiciels. Commande /security-review : les développeurs peuvent exécuter cette commande dans leur terminal pour demander à Claude d'identifier les vulnérabilités de sécurité, notamment les risques d'injection SQL, les vulnérabilités de script intersite (XSS), les failles d'authentification et d'autorisation, ainsi que la gestion non sécurisée des données. Claude peut également suggérer et implémenter des correctifs. Intégration GitHub Actions : une nouvelle action GitHub permet à Claude Code d'analyser automatiquement chaque nouvelle demande d'extraction (pull request). L'outil examine les modifications de code pour y trouver des vulnérabilités, applique des règles personnalisables pour filtrer les faux positifs et commente directement la demande d'extraction avec les problèmes détectés et les correctifs recommandés. Ces fonctionnalités sont conçues pour créer un processus d'examen de sécurité cohérent et s'intégrer aux pipelines CI/CD existants, ce qui permet de s'assurer qu'aucun code n'atteint la production sans un examen de sécurité de base. Loi, société et organisation Google embauche les personnes clés de Windsurf https://www.blog-nouvelles-technologies.fr/333959/openai-windsurf-google-deepmind-codage-agentique/ windsurf devait être racheté par OpenAI Google ne fait pas d'offre de rachat mais débauche quelques personnes clés de Windsurf Windsurf reste donc indépendante mais sans certains cerveaux y compris son PDG. Les nouveaux dirigeants sont les ex leaders des force de vente Donc plus une boîte tech Pourquoi le deal a 3 milliard est tombé à l'eau ? On ne sait pas mais la divergence et l‘indépendance technologique est possiblement en cause. Les transfuge vont bosser chez Deepmind dans le code argentique Opinion Article: https://www.linkedin.com/pulse/dear-people-who-think-ai-low-skilled-code-monkeys-future-jan-moser-svade/ Jan Moser critique ceux qui pensent que l'IA et les développeurs peu qualifiés peuvent remplacer les ingénieurs logiciels compétents. Il cite l'exemple de l'application Tea, une plateforme de sécurité pour femmes, qui a exposé 72 000 images d'utilisateurs en raison d'une mauvaise configuration de Firebase et d'un manque de pratiques de développement sécurisées. Il souligne que l'absence de contrôles automatisés et de bonnes pratiques de sécurité a permis cette fuite de données. Moser avertit que des outils comme l'IA ne peuvent pas compenser l'absence de compétences en génie logiciel, notamment en matière de sécurité, de gestion des erreurs et de qualité du code. Il appelle à une reconnaissance de la valeur des ingénieurs logiciels qualifiés et à une approche plus rigoureuse dans le développement logiciel. YouTube déploie une technologie d'estimation d'âge pour identifier les adolescents aux États-Unis https://techcrunch.com/2025/07/29/youtube-rolls-out-age-estimatation-tech-to-identify-u-s-teens-and-apply-additional-protections/ Sujet très à la mode, surtout au UK mais pas que… YouTube commence à déployer une technologie d'estimation d'âge basée sur l'IA pour identifier les utilisateurs adolescents aux États-Unis, indépendamment de l'âge déclaré lors de l'inscription. Cette technologie analyse divers signaux comportementaux, tels que l'historique de visionnage, les catégories de vidéos consultées et l'âge du compte. Lorsqu'un utilisateur est identifié comme adolescent, YouTube applique des protections supplémentaires, notamment : Désactivation des publicités personnalisées. Activation des outils de bien-être numérique, tels que les rappels de temps d'écran et de coucher. Limitation de la visualisation répétée de contenus sensibles, comme ceux liés à l'image corporelle. Si un utilisateur est incorrectement identifié comme mineur, il peut vérifier son âge via une pièce d'identité gouvernementale, une carte de crédit ou un selfie. Ce déploiement initial concerne un petit groupe d'utilisateurs aux États-Unis et sera étendu progressivement. Cette initiative s'inscrit dans les efforts de YouTube pour renforcer la sécurité des jeunes utilisateurs en ligne. Mistral AI : contribution à un standard environnemental pour l'IA https://mistral.ai/news/our-contribution-to-a-global-environmental-standard-for-ai Mistral AI a réalisé la première analyse de cycle de vie complète d'un modèle d'IA, en collaboration avec plusieurs partenaires. L'étude quantifie l'impact environnemental du modèle Mistral Large 2 sur les émissions de gaz à effet de serre, la consommation d'eau, et l'épuisement des ressources. La phase d'entraînement a généré 20,4 kilotonnes de CO₂ équivalent, consommé 281 000 m³ d'eau, et utilisé 660 kg SB-eq (mineral consumption). Pour une réponse de 400 tokens, l'impact marginal est faible mais non négligeable : 1,14 gramme de CO₂, 45 mL d'eau, et 0,16 mg d'équivalent antimoine. Mistral propose trois indicateurs pour évaluer cet impact : l'impact absolu de l'entraînement, l'impact marginal de l'inférence, et le ratio inference/impact total sur le cycle de vie. L'entreprise souligne l'importance de choisir le modèle en fonction du cas d'usage pour limiter l'empreinte environnementale. Mistral appelle à plus de transparence et à l'adoption de standards internationaux pour permettre une comparaison claire entre modèles. L'IA promettait plus d'efficacité… elle nous fait surtout travailler plus https://afterburnout.co/p/ai-promised-to-make-us-more-efficient Les outils d'IA devaient automatiser les tâches pénibles et libérer du temps pour les activités stratégiques et créatives. En réalité, le temps gagné est souvent aussitôt réinvesti dans d'autres tâches, créant une surcharge. Les utilisateurs croient être plus productifs avec l'IA, mais les données contredisent cette impression : une étude montre que les développeurs utilisant l'IA prennent 19 % de temps en plus pour accomplir leurs tâches. Le rapport DORA 2024 observe une baisse de performance globale des équipes lorsque l'usage de l'IA augmente : –1,5 % de throughput et –7,2 % de stabilité de livraison pour +25 % d'adoption de l'IA. L'IA ne réduit pas la charge mentale, elle la déplace : rédaction de prompts, vérification de résultats douteux, ajustements constants… Cela épuise et limite le temps de concentration réelle. Cette surcharge cognitive entraîne une forme de dette mentale : on ne gagne pas vraiment du temps, on le paie autrement. Le vrai problème vient de notre culture de la productivité, qui pousse à toujours vouloir optimiser, quitte à alimenter l'épuisement professionnel. Trois pistes concrètes : Repenser la productivité non en temps gagné, mais en énergie préservée. Être sélectif dans l'usage des outils IA, en fonction de son ressenti et non du battage médiatique. Accepter la courbe en J : l'IA peut être utile, mais nécessite des ajustements profonds pour produire des gains réels. Le vrai hack de productivité ? Parfois, ralentir pour rester lucide et durable. Conférences MCP Submit Europe https://mcpdevsummit.ai/ Retour de JavaOne en 2026 https://inside.java/2025/08/04/javaone-returns–2026/ JavaOne, la conférence dédiée à la communauté Java, fait son grand retour dans la Bay Area du 17 au 19 mars 2026. Après le succès de l'édition 2025, ce retour s'inscrit dans la continuité de la mission initiale de la conférence : rassembler la communauté pour apprendre, collaborer et innover. La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 25–27 août 2025 : SHAKA Biarritz - Biarritz (France) 5 septembre 2025 : JUG Summer Camp 2025 - La Rochelle (France) 12 septembre 2025 : Agile Pays Basque 2025 - Bidart (France) 15 septembre 2025 : Agile Tour Montpellier - Montpellier (France) 18–19 septembre 2025 : API Platform Conference - Lille (France) & Online 22–24 septembre 2025 : Kernel Recipes - Paris (France) 22–27 septembre 2025 : La Mélée Numérique - Toulouse (France) 23 septembre 2025 : OWASP AppSec France 2025 - Paris (France) 23–24 septembre 2025 : AI Engineer Paris - Paris (France) 25 septembre 2025 : Agile Game Toulouse - Toulouse (France) 25–26 septembre 2025 : Paris Web 2025 - Paris (France) 30 septembre 2025–1 octobre 2025 : PyData Paris 2025 - Paris (France) 2 octobre 2025 : Nantes Craft - Nantes (France) 2–3 octobre 2025 : Volcamp - Clermont-Ferrand (France) 3 octobre 2025 : DevFest Perros-Guirec 2025 - Perros-Guirec (France) 6–7 octobre 2025 : Swift Connection 2025 - Paris (France) 6–10 octobre 2025 : Devoxx Belgium - Antwerp (Belgium) 7 octobre 2025 : BSides Mulhouse - Mulhouse (France) 7–8 octobre 2025 : Agile en Seine - Issy-les-Moulineaux (France) 8–10 octobre 2025 : SIG 2025 - Paris (France) & Online 9 octobre 2025 : DevCon #25 : informatique quantique - Paris (France) 9–10 octobre 2025 : Forum PHP 2025 - Marne-la-Vallée (France) 9–10 octobre 2025 : EuroRust 2025 - Paris (France) 16 octobre 2025 : PlatformCon25 Live Day Paris - Paris (France) 16 octobre 2025 : Power 365 - 2025 - Lille (France) 16–17 octobre 2025 : DevFest Nantes - Nantes (France) 17 octobre 2025 : Sylius Con 2025 - Lyon (France) 17 octobre 2025 : ScalaIO 2025 - Paris (France) 17–19 octobre 2025 : OpenInfra Summit Europe - Paris (France) 20 octobre 2025 : Codeurs en Seine - Rouen (France) 23 octobre 2025 : Cloud Nord - Lille (France) 30–31 octobre 2025 : Agile Tour Bordeaux 2025 - Bordeaux (France) 30–31 octobre 2025 : Agile Tour Nantais 2025 - Nantes (France) 30 octobre 2025–2 novembre 2025 : PyConFR 2025 - Lyon (France) 4–7 novembre 2025 : NewCrafts 2025 - Paris (France) 5–6 novembre 2025 : Tech Show Paris - Paris (France) 6 novembre 2025 : dotAI 2025 - Paris (France) 6 novembre 2025 : Agile Tour Aix-Marseille 2025 - Gardanne (France) 7 novembre 2025 : BDX I/O - Bordeaux (France) 12–14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 13 novembre 2025 : DevFest Toulouse - Toulouse (France) 15–16 novembre 2025 : Capitole du Libre - Toulouse (France) 19 novembre 2025 : SREday Paris 2025 Q4 - Paris (France) 19–21 novembre 2025 : Agile Grenoble - Grenoble (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 27 novembre 2025 : DevFest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 1–2 décembre 2025 : Tech Rocks Summit 2025 - Paris (France) 4–5 décembre 2025 : Agile Tour Rennes - Rennes (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 9–11 décembre 2025 : APIdays Paris - Paris (France) 9–11 décembre 2025 : Green IO Paris - Paris (France) 10–11 décembre 2025 : Devops REX - Paris (France) 10–11 décembre 2025 : Open Source Experience - Paris (France) 11 décembre 2025 : Normandie.ai 2025 - Rouen (France) 28–31 janvier 2026 : SnowCamp 2026 - Grenoble (France) 2–6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 12–13 février 2026 : Touraine Tech #26 - Tours (France) 22–24 avril 2026 : Devoxx France 2026 - Paris (France) 23–25 avril 2026 : Devoxx Greece - Athens (Greece) 17 juin 2026 : Devoxx Poland - Krakow (Poland) 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/

# 2025-06-03 - News - Episode 234Hosts: Eric Peterson - Senior Developer at Ortus SolutionsJacob Beers - Senior Developer at Ortus Solutions## Ortus News- cfmigrations v5 released - based off of qb 12 and cbMockData 4    - Simpler configuration for CommandBox Migrations coming soon!- cbPlaywright v1.52.1 (corresponding to Playwright 1.52)    - Also can be used better outside of TestBox- ITB 2025 videos coming to CFCasts in June- BoxLang VS Code Extension v1.7.1 Released!    - The latest update brings improved autocomplete, enhanced function support, and better performance for an even smoother developer experience.    - Upgrade now to boost your productivity while building with BoxLang! https://www.ortussolutions.com/blog/v171-boxlang-vscode-extension## SPONSOR — ORTUS SOLUTIONS - Elasticsearch & OpenSearch ConsultingHigh-performance search solutions with real-time speed and precisionCustom implementations, log management, and performance tuningScale your data search with confidence and expert supportWebsite: https://www.ortussolutions.com/services/elasticsearchIf you want to get your product or service in front of our wonderful BoxLang and CFML audience, reach out to us on our website.## BoxLang Updates- BoxLang v1.2.0 released!    - This powerful new release showcases what our team can deliver in just two weeks—over 30 performance-focused enhancements that supercharge runtime efficiency without changing your existing code. From faster string operations to smarter memory management, BoxLang 1.2 makes building modern applications even smoother, faster, and smarter. https://www.ortussolutions.com/blog/boxlang-v120-released- BoxLang FAQs    - BoxLang is its own language!!!        - Basic syntax differences            - Bx            - Class            - etc…        - Static BIF access        - Functional member methods        - Java interop        - Additional runtime features            - Scheduler             - Modules## CFML Updates - Lucee v6 Upgrade Guide    - https://docs.lucee.org/recipes/breaking-changes-6-0.html- Fixinator 6.1.0    - https://www.petefreitag.com/blog/fixinator-6-1-0/- James Moberg - Using ColdFusion and Xpdf to extract PDF metadata    - https://www.mycfml.com/articles/using-coldfusion-and-xpdf-to-extract-pdf-metadata/- Ben Nadel - Creating Java Classes From JAR Files In Adobe ColdFusion 2025    - https://www.bennadel.com/blog/4809-creating-java-classes-from-jar-files-in-adobe-coldfusion-2025.htm    - Related: https://www.bennadel.com/blog/4804-rendering-1-dimensional-barcodes-with-zxing-and-coldfusion.htm## Events- CFCamp Slides and Recordings are Up on our Ortus Site and Youtube Channel: https://www.ortussolutions.com/events/2025/cfcamp-2025- Upcoming June Webinar: Building Dynamic AWS Lambda Applications with BoxLang - Just a few days left    - Luis Majano - Register for Free on EventBrite: https://BoxLang-AWS-Lambda-2025.eventbrite.com,        - Wednesday, June 18 at 11:00 AM (CDT)    - July Webinar is also Scheduled with Ray Camden, more details coming soon!- America Digital México | June 17, 2025 | Ciudad de México, México    - Ortus Solutions has been invited to showcase BoxLang, the groundbreaking new programming language, at the 9th America Digital México Conference, a major event uniting technology and business leaders from across the region. Join us at booth C36!- Open South Code 2025 - Spain    - June 20 - 21, 2025    - La Térmica - Málaga    - Gold Sponsors - Ortus Solutions    - https://www.opensouthcode.org/conferences/opensouthcode2025- Adobe ColdFusion Summit 2025.    - September 22 - 23rd    - Certification available September 21 or 24th    - https://cfsummit.adobeevents.com     - Speaker Application        - https://cfsummit.adobeevents.com/speaker-application - Into the Box 2026 is coming soon with Blind Ticket Pricing - Stay tuned!## Tech NewsMicrosoft Build- Microsoft Edit — Vim for Windows?    - https://www.theverge.com/news/669318/microsoft-edit-on-windows-command-line-text-editor- WSL is now Open Source    https://www.theverge.com/news/669286/microsoft-windows-subsystem-for-linux-open-source- GitHub Copilot can now work on GitHub Issues?    - https://github.blog/news-insights/product-news/github-copilot-meet-the-new-coding-agent/## Thank YouThank you to all of our Patreon Supporters!You can support us on Patreon here https://www.patreon.com/ortussolutions  ★ Support this podcast on Patreon ★

Topics covered in this episode: Huly CVE Foundation formed to take over CVE program from MITRE drawdb 14 Advanced Python Features Extras Joke Watch on YouTube About the show Sponsored by Posit Workbench: pythonbytes.fm/workbench Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Huly All-in-One Project Management Platform (alternative to Linear, Jira, Slack, Notion, Motion) If you're primarily interested in self-hosting Huly without the intention to modify or contribute to its development, please use huly-selfhost. Manage your tasks efficiently with Huly's bidirectional GitHub synchronization. Use Huly as an advanced front-end for GitHub Issues and GitHub Projects. Connect every element of your workflow to build a dynamic knowledge base. Everything you need for productive team work: Team Planner • Project Management • Virtual Office • Chat • Documents • Inbox Self hosting as a service: elest.io Brian #2: CVE Foundation formed to take over CVE program from MITRE Back story: CVE, global source of cybersecurity info, was hours from being cut by DHS The 25-year-old CVE program, an essential part of global cybersecurity, is cited in nearly any discussion or response to a computer security issue. CVE was at real risk of closure after its contract was set to expire on April 16. The nonprofit MITRE runs CVE on a contract with the DHS. A letter last Tuesday sent Tuesday by Yosry Barsoum, vice president of MITRE, gave notice of the potential halt to operations. Another possible victim of the current administration. CVE Foundation Launched to Secure the Future of the CVE Program CVE Board members have spent the past year developing a strategy to transition CVE to a dedicated, non-profit foundation. The new CVE Foundation will focus solely on continuing the mission of delivering high-quality vulnerability identification and maintaining the integrity and availability of CVE data for defenders worldwide. Over the coming days, the Foundation will release more information about its structure, transition planning, and opportunities for involvement from the broader community. Michael #3: drawdb Free and open source, simple, and intuitive database design editor, data-modeler, and SQL generator. Great drag-drop relationship manager Define your DB visually, export as SQL create scripts Or import existing SQL to kickstart the diagramming. Brian #4: 14 Advanced Python Features Edward Li Picking some favorites 1. Typing Overloads 2. Keyword-only and Positional-only Arguments 9. Python Nitpicks For-else statements Walrus operator Short Circuit Evaluation Operator Chaining Extras Michael: Thunderbird send / other firefox things. Joke: Python Tariffs Thanks wagenrace Thanks Campfire Tales

Luca Casanato, member of the Deno core team, delves into the intricacies of debugging applications using Deno and OpenTelemetry. Discover how Deno's native integration with OpenTelemetry enhances application performance monitoring, simplifies instrumentation compared to Node.js, and unlocks new insights for developers! Links https://lcas.dev https://x.com/lcasdev https://github.com/lucacasonato https://mastodon.social/@lcasdev https://www.linkedin.com/in/luca-casonato-15946b156 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? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@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 understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Luca Casonato.

GitHub の Issue を読んでバグを直すエーアイについて森田が読みました。

You've got a project, and you need the right tool—but how do you know if that JavaScript package is the one? Scott and Wes guide you through finding and validating packages, from checking NPM to scoping out social proof, so you can pick tools you can trust. Show Notes 00:00 Welcome to Syntax! 00:29 Brought to you by Sentry.io. Take The Pledge 01:44 How to find a JS package. 02:56 Searching via NPM. 03:28 Searching via Socket.dev. 06:02 Searching via Reddit. 06:24 Searching via Perplexity. 08:31 Searching via Google autocomplete. 09:25 Searching via Awesome repo. 09:51 Searching via social networks. 10:47 Searching via established projects. 11:19 Evaluating the quality of a package. 12:02 Validating via GitHub Issues. html2canvas. 13:58 Are there types? 15:16 Validating via Socket. 16:15 Validating via Bundlephobia. 17:15 Validating via the docs. 17:55 Validating via GitHub Search. 18:14 Validating via GitHub Insights. GitHub Network Dependents. 20:19 Validating via the package.json file. Syntax Episode 563. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Welcome back to the Pybites podcast! Today we have some really exciting news: we've just launched our brand-new coding platform!Check it out here.After nearly 7 years and almost 50K sign-ups on v1 (codechalleng.es), the design started to show its age. That's why we did a complete overhaul to create our new 2.0 platform. It's faster, cleaner, more responsive, and more affordable.In this episode, Bob and Julian discuss why v2 is such a big improvement, the motivation behind the rewrite, behind-the-scenes insights into how it all came together, some technical challenges we faced, and one of our most exciting new features: parity pricing (pricing in your local currency based on where you live).Enjoy, and we hope to see you coding more Python with us on the new platform!Chapters:00:00 Intro02:00 PyBites Platform 2.0!02:46 Platform's history05:10 How v2 came about: ruthless minimalism08:10 Why v2 is faster and more responsive12:02 Challenges of migrating from v1 to v214:20 Seamless design improvements17:40 Parity pricing: making it more affordable24:05 Humble bundles now available on v225:00 Roadmap and Julian's use of GitHub Issues!27:44 Wrap upDon't forget to join our Python developer communityAnd feel free to reach out to us with any feedback or questions on Circle or LinkedIn:- Bob: Circle / LinkedIn- Julian: Circle / LinkedInThanks for listening, and we'll be back next week!

Our second wave of speakers for AI Engineer World's Fair were announced! The conference sold out of Platinum/Gold/Silver sponsors and Early Bird tickets! See our Microsoft episode for more info and buy now with code LATENTSPACE.This episode is straightforwardly a part 2 to our ICLR 2024 Part 1 episode, so without further ado, we'll just get right on with it!Timestamps[00:03:43] Section A: Code Edits and Sandboxes, OpenDevin, and Academia vs Industry — ft. Graham Neubig and Aman Sanger* [00:07:44] WebArena* [00:18:45] Sotopia* [00:24:00] Performance Improving Code Edits* [00:29:39] OpenDevin* [00:47:40] Industry and Academia[01:05:29] Section B: Benchmarks* [01:05:52] SWEBench* [01:17:05] SWEBench/SWEAgent Interview* [01:27:40] Dataset Contamination Detection* [01:39:20] GAIA Benchmark* [01:49:18] Moritz Hart - Science of Benchmarks[02:36:32] Section C: Reasoning and Post-Training* [02:37:41] Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection* [02:51:00] Let's Verify Step By Step* [02:57:04] Noam Brown* [03:07:43] Lilian Weng - Towards Safe AGI* [03:36:56] A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis* [03:48:43] MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework[04:00:51] Bonus: Notable Related Papers on LLM CapabilitiesSection A: Code Edits and Sandboxes, OpenDevin, and Academia vs Industry — ft. Graham Neubig and Aman Sanger* Guests* Graham Neubig* Aman Sanger - Previous guest and NeurIPS friend of the pod!* WebArena * * Sotopia (spotlight paper, website)* * Learning Performance-Improving Code Edits* OpenDevin* Junyang Opendevin* Morph Labs, Jesse Han* SWE-Bench* SWE-Agent* Aman tweet on swebench* LiteLLM* Livecodebench* the role of code in reasoning* Language Models of Code are Few-Shot Commonsense Learners* Industry vs academia* the matryoshka embeddings incident* other directions* UnlimiformerSection A timestamps* [00:00:00] Introduction to Guests and the Impromptu Nature of the Podcast* [00:00:45] Graham's Experience in Japan and Transition into Teaching NLP* [00:01:25] Discussion on What Constitutes a Good Experience for Students in NLP Courses* [00:02:22] The Relevance and Teaching of Older NLP Techniques Like Ngram Language Models* [00:03:38] Speculative Decoding and the Comeback of Ngram Models* [00:04:16] Introduction to WebArena and Zotopia Projects* [00:05:19] Deep Dive into the WebArena Project and Benchmarking* [00:08:17] Performance Improvements in WebArena Using GPT-4* [00:09:39] Human Performance on WebArena Tasks and Challenges in Evaluation* [00:11:04] Follow-up Work from WebArena and Focus on Web Browsing as a Benchmark* [00:12:11] Direct Interaction vs. Using APIs in Web-Based Tasks* [00:13:29] Challenges in Base Models for WebArena and the Potential of Visual Models* [00:15:33] Introduction to Zootopia and Exploring Social Interactions with Language Models* [00:16:29] Different Types of Social Situations Modeled in Zootopia* [00:17:34] Evaluation of Language Models in Social Simulations* [00:20:41] Introduction to Performance-Improving Code Edits Project* [00:26:28] Discussion on DevIn and the Future of Coding Agents* [00:32:01] Planning in Coding Agents and the Development of OpenDevon* [00:38:34] The Changing Role of Academia in the Context of Large Language Models* [00:44:44] The Changing Nature of Industry and Academia Collaboration* [00:54:07] Update on NLP Course Syllabus and Teaching about Large Language Models* [01:00:40] Call to Action: Contributions to OpenDevon and Open Source AI Projects* [01:01:56] Hiring at Cursor for Roles in Code Generation and Assistive Coding* [01:02:12] Promotion of the AI Engineer ConferenceSection B: Benchmarks * Carlos Jimenez & John Yang (Princeton) et al: SWE-bench: Can Language Models Resolve Real-world Github Issues? (ICLR Oral, Paper, website)* “We introduce SWE-bench, an evaluation framework consisting of 2,294 software engineering problems drawn from real GitHub issues and corresponding pull requests across 12 popular Python repositories. Given a codebase along with a description of an issue to be resolved, a language model is tasked with editing the codebase to address the issue. Resolving issues in SWE-bench frequently requires understanding and coordinating changes across multiple functions, classes, and even files simultaneously, calling for models to interact with execution environments, process extremely long contexts and perform complex reasoning that goes far beyond traditional code generation tasks. Our evaluations show that both state-of-the-art proprietary models and our fine-tuned model SWE-Llama can resolve only the simplest issues. The best-performing model, Claude 2, is able to solve a mere 1.96% of the issues. Advances on SWE-bench represent steps towards LMs that are more practical, intelligent, and autonomous.”* Yonatan Oren et al (Stanford): Proving Test Set Contamination in Black-Box Language Models (ICLR Oral, paper, aman tweet on swebench contamination)* “We show that it is possible to provide provable guarantees of test set contamination in language models without access to pretraining data or model weights. Our approach leverages the fact that when there is no data contamination, all orderings of an exchangeable benchmark should be equally likely. In contrast, the tendency for language models to memorize example order means that a contaminated language model will find certain canonical orderings to be much more likely than others. Our test flags potential contamination whenever the likelihood of a canonically ordered benchmark dataset is significantly higher than the likelihood after shuffling the examples. * We demonstrate that our procedure is sensitive enough to reliably prove test set contamination in challenging situations, including models as small as 1.4 billion parameters, on small test sets of only 1000 examples, and datasets that appear only a few times in the pretraining corpus.”* Outstanding Paper mention: “A simple yet elegant method to test whether a supervised-learning dataset has been included in LLM training.”* Thomas Scialom (Meta AI-FAIR w/ Yann LeCun): GAIA: A Benchmark for General AI Assistants (paper)* “We introduce GAIA, a benchmark for General AI Assistants that, if solved, would represent a milestone in AI research. GAIA proposes real-world questions that require a set of fundamental abilities such as reasoning, multi-modality handling, web browsing, and generally tool-use proficiency. * GAIA questions are conceptually simple for humans yet challenging for most advanced AIs: we show that human respondents obtain 92% vs. 15% for GPT-4 equipped with plugins. * GAIA's philosophy departs from the current trend in AI benchmarks suggesting to target tasks that are ever more difficult for humans. We posit that the advent of Artificial General Intelligence (AGI) hinges on a system's capability to exhibit similar robustness as the average human does on such questions. Using GAIA's methodology, we devise 466 questions and their answer.* * Mortiz Hardt (Max Planck Institute): The emerging science of benchmarks (ICLR stream)* “Benchmarks are the keystone that hold the machine learning community together. Growing as a research paradigm since the 1980s, there's much we've done with them, but little we know about them. In this talk, I will trace the rudiments of an emerging science of benchmarks through selected empirical and theoretical observations. Specifically, we'll discuss the role of annotator errors, external validity of model rankings, and the promise of multi-task benchmarks. The results in each case challenge conventional wisdom and underscore the benefits of developing a science of benchmarks.”Section C: Reasoning and Post-Training* Akari Asai (UW) et al: Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection (ICLR oral, website)* (Bad RAG implementations) indiscriminately retrieving and incorporating a fixed number of retrieved passages, regardless of whether retrieval is necessary, or passages are relevant, diminishes LM versatility or can lead to unhelpful response generation. * We introduce a new framework called Self-Reflective Retrieval-Augmented Generation (Self-RAG) that enhances an LM's quality and factuality through retrieval and self-reflection. * Our framework trains a single arbitrary LM that adaptively retrieves passages on-demand, and generates and reflects on retrieved passages and its generations using special tokens, called reflection tokens. Generating reflection tokens makes the LM controllable during the inference phase, enabling it to tailor its behavior to diverse task requirements. * Self-RAG (7B and 13B parameters) outperforms ChatGPT and retrieval-augmented Llama2-chat on Open-domain QA, reasoning, and fact verification tasks, and it shows significant gains in improving factuality and citation accuracy for long-form generations relative to these models. * Hunter Lightman (OpenAI): Let's Verify Step By Step (paper)* “Even state-of-the-art models still regularly produce logical mistakes. To train more reliable models, we can turn either to outcome supervision, which provides feedback for a final result, or process supervision, which provides feedback for each intermediate reasoning step. * We conduct our own investigation, finding that process supervision significantly outperforms outcome supervision for training models to solve problems from the challenging MATH dataset. Our process-supervised model solves 78% of problems from a representative subset of the MATH test set. Additionally, we show that active learning significantly improves the efficacy of process supervision. * To support related research, we also release PRM800K, the complete dataset of 800,000 step-level human feedback labels used to train our best reward model.* * Noam Brown - workshop on Generative Models for Decision Making* Solving Quantitative Reasoning Problems with Language Models (Minerva paper)* Describes some charts taken directly from the Let's Verify Step By Step paper listed/screenshotted above.* Lilian Weng (OpenAI) - Towards Safe AGI (ICLR talk)* OpenAI Model Spec* OpenAI Instruction Hierarchy: The Instruction Hierarchy: Training LLMs to Prioritize Privileged InstructionsSection D: Agent Systems* Izzeddin Gur (Google DeepMind): A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis (ICLR oral, paper)* [Agent] performance on real-world websites has still suffered from (1) open domainness, (2) limited context length, and (3) lack of inductive bias on HTML.* We introduce WebAgent, an LLM-driven agent that learns from self-experience to complete tasks on real websites following natural language instructions.* WebAgent plans ahead by decomposing instructions into canonical sub-instructions, summarizes long HTML documents into task-relevant snippets, and acts on websites via Python programs generated from those.* We design WebAgent with Flan-U-PaLM, for grounded code generation, and HTML-T5, new pre-trained LLMs for long HTML documents using local and global attention mechanisms and a mixture of long-span denoising objectives, for planning and summarization.* We empirically demonstrate that our modular recipe improves the success on real websites by over 50%, and that HTML-T5 is the best model to solve various HTML understanding tasks; achieving 18.7% higher success rate than the prior method on MiniWoB web automation benchmark, and SoTA performance on Mind2Web, an offline task planning evaluation.* Sirui Hong (DeepWisdom): MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework (ICLR Oral, Paper)* We introduce MetaGPT, an innovative meta-programming framework incorporating efficient human workflows into LLM-based multi-agent collaborations. MetaGPT encodes Standardized Operating Procedures (SOPs) into prompt sequences for more streamlined workflows, thus allowing agents with human-like domain expertise to verify intermediate results and reduce errors. MetaGPT utilizes an assembly line paradigm to assign diverse roles to various agents, efficiently breaking down complex tasks into subtasks involving many agents working together. Bonus: Notable Related Papers on LLM CapabilitiesThis includes a bunch of papers we wanted to feature above but could not.* Lukas Berglund (Vanderbilt) et al: The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A” (ICLR poster, paper, Github)* We expose a surprising failure of generalization in auto-regressive large language models (LLMs). If a model is trained on a sentence of the form ''A is B'', it will not automatically generalize to the reverse direction ''B is A''. This is the Reversal Curse. * The Reversal Curse is robust across model sizes and model families and is not alleviated by data augmentation. We also evaluate ChatGPT (GPT-3.5 and GPT-4) on questions about real-world celebrities, such as ''Who is Tom Cruise's mother? [A: Mary Lee Pfeiffer]'' and the reverse ''Who is Mary Lee Pfeiffer's son?''. GPT-4 correctly answers questions like the former 79% of the time, compared to 33% for the latter.* * Omar Khattab (Stanford): DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines (ICLR Spotlight Poster, GitHub)* presented by Krista Opsahl-Ong* “Existing LM pipelines are typically implemented using hard-coded “prompt templates”, i.e. lengthy strings discovered via trial and error. Toward a more systematic approach for developing and optimizing LM pipelines, we introduce DSPy, a programming model that abstracts LM pipelines as text transformation graphs, or imperative computational graphs where LMs are invoked through declarative modules. * DSPy modules are parameterized, meaning they can learn how to apply compositions of prompting, finetuning, augmentation, and reasoning techniques. * We design a compiler that will optimize any DSPy pipeline to maximize a given metric, by creating and collecting demonstrations. * We conduct two case studies, showing that succinct DSPy programs can express and optimize pipelines that reason about math word problems, tackle multi-hop retrieval, answer complex questions, and control agent loops. * Within minutes of compiling, DSPy can automatically produce pipelines that outperform out-of-the-box few-shot prompting as well as expert-created demonstrations for GPT-3.5 and Llama2-13b-chat. On top of that, DSPy programs compiled for relatively small LMs like 770M parameter T5 and Llama2-13b-chat are competitive with many approaches that rely on large and proprietary LMs like GPT-3.5 and on expert-written prompt chains. * * MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning* Scaling Laws for Associative Memories * DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models* Efficient Streaming Language Models with Attention Sinks Get full access to Latent Space at www.latent.space/subscribe

Adam tries on a chain for Florida, Linear fixes GitHub Issues issue for Dax, big vs small vs medium dev teams, how long do startup devs actually have to develop, how much of a factor is luck in a startup's success or failure, Disney and media bundling and unbundling, and are Adam Sandler movies actually any good?Want to carry on the conversation? Join us in Discord.GitHub Integration – LinearPaddle – The complete payments, tax, and subscriptions solution for SaaSPaddle Board RentalsBaumol EffectBundling and UnbundlingClaude  AnthropicAdam Sandler FilmsUncut Gems 2019 Film ReviewsReact MiamiTopics:(00:00) - Squeeky boom (00:28) - Adam tries on a chain - or is it a necklace? (03:55) - Do you track your sleep? (04:38) - Linear fixes GitHub issues? (10:08) - Big team vs small team vs medium team (20:57) - Where do startup founders go when their startup dies? (25:02) - How long is the window for a developer? (30:11) - Do you feel like it's all going to come down to luck? (38:21) - It feels like any aquisition feels like a failure (42:08) - Disney, IP, ESPN, and sports rights (48:08) - Bundling and unbundling (50:07) - LLM pricing instability (54:02) - Let's cool it on the robots (56:11) - Are Adam Sandlar

WordPress to zdecydowanie jeden z największych graczy we współczesnym internecie. Ponad 1/3 stron internetowych jest zbudowana właśnie za pomocą tego narzędzia. Strona techwriter.pl była w tym gronie przez ostatnie 10 lat. W tym roku postanowiliśmy przejść na rozwiązanie oparte na platformie gitowej i generatorze stron statycznych. Rozmawiamy o tym dlaczego zdecydowaliśmy się przejść na Docusaurusa i GitHuba, jak wyglądał proces migracji i czy w ostatecznym rozrachunku była to dobra decyzja, żeby odejść od WordPressa. Informacje dodatkowe: WordPress: https://pl.wordpress.org/ Docusaurus: https://docusaurus.io/ GitHub: https://github.com/ Techwriter.pl: https://techwriter.pl/ "System zarządzania treścią", Wikipeda: https://pl.wikipedia.org/wiki/System_zarz%C4%85dzania_tre%C5%9Bci%C4%85 "Usage statistics and market share of WordPress", W3Techs: https://w3techs.com/technologies/details/cm-wordpress "Docs as code", Write the Docs: https://www.writethedocs.org/guide/docs-as-code/ GitHub Pages: https://pages.github.com/ React: https://react.dev/ GitHub Issues: https://github.com/features/issues MDX: https://mdxjs.com/ Disqus: https://disqus.com/ Algolia: https://www.algolia.com/ GitHub Actions: https://github.com/features/actions GitHub Codespaces: https://github.com/features/codespaces MeetContent: http://meetcontent.org/

In this Hasty Treat, Scott and Wes talk about how to get help for a bug or error you're getting in someone else's code. Show Notes 00:26 Welcome 01:54 Building a reproduction of the error 03:55 Creating a gist Gist 04:48 Be responsive. Be ready. 08:03 Where do you go first for support? 09:44 Search for your issue first GitHub Issues 10:53 Be nice Tweet us your tasty treats Scott's Instagram LevelUpTutorials Instagram Wes' Instagram Wes' Twitter Wes' Facebook Scott's Twitter Make sure to include @SyntaxFM in your tweets Wes Bos on Bluesky Scott on Bluesky Syntax on Bluesky

WWDC was afgelopen week en Apple heeft weer het nodige aangekondigd, wij als tech idioten doken in de nieuwe VR..of AR bril van Apple en bespreken de UX én UI van dit apparaat. Verder kun je als je een beetje creatief bent Github als CMS gebruiken, hidden: until-found zit alleen nog maar in Chrome maar we hopen op snel meer, luister snel waarom het zo handig is. En last but not least, het welbekende slotje in Chrome gaat veranderen. 01:00 - Github Issues als CMS - https://dev.to/muhajirdev/using-github-issue-as-cms-2de1 02:45 - Hidden until-found - https://developer.chrome.com/articles/hidden-until-found/ 05:30 - Chrome update slotje - https://blog.chromium.org/2023/05/an-update-on-lock-icon.html 07:50 - Vocera Health app - https://www.vocera.com/product/vocera-ease 12:41 - Apple Vision Pro -  https://www.apple.com/apple-vision-pro/ 46:43 - Blackberry the movie - https://www.justwatch.com/us/movie/blackberry 49:45 - Je website op je desktop in de nieuwe Safari - https://twitter.com/jensimmons/status/1665779792216571909?s=46&t=fe46zCuaw_E4SsdlMbCChw

Brian Douglas is the CEO of OpenSauced which helps enterprises discover the best engineers in Open Source. Victoria and Will talk to Brian about meeting as many developers as possible, setting goals, and keeping himself accountable, and what makes a successful open source project. OpenSauced (https://opensauced.pizza/) Follow OpenSauced on Twitter (https://twitter.com/saucedopen), GitHub (https://github.com/open-sauced), Instagram (https://www.instagram.com/opensauced/), YouTube (https://www.youtube.com/opensauced), Discord (https://discord.com/invite/U2peSNf23P), and Dev.to (https://dev.to/opensauced). Follow Brian Douglas on LinkedIn (https://www.linkedin.com/in/brianldouglas/), Twitter (https://twitter.com/bdougieYO), or visit his website (https://b.dougie.dev/). Follow thoughtbot on Twitter (https://twitter.com/thoughtbot) or LinkedIn (https://www.linkedin.com/company/150727/). Become a Sponsor (https://thoughtbot.com/sponsorship) of Giant Robots! Transcript: VICTORIA: Hey there. It's your host Victoria. And I'm here today with Dawn Delatte and Jordyn Bonds from our Ignite team. We are thrilled to announce the summer 2023 session of our new incubator program. If you have a business idea that involves a web or mobile app, we encourage you to apply for our 8-week program. We'll help you validate the market opportunity, experiment with messaging and product ideas, and move forward with confidence towards an MVP. Learn more and apply at tbot.io/incubator. Dawn and Jordyn, thank you for joining and sharing the news with me today. JORDYN: Thanks for having us. DAWN: Yeah, glad to be here. VICTORIA: So, tell me a little bit more about the incubator program. This will be your second session, right? JORDYN: Indeed. We are just now wrapping up the first session. We had a really great 8 weeks, and we're excited to do it again. VICTORIA: Wonderful. And I think we're going to have the person from your program on a Giant Robots episode soon. JORDYN: Wonderful. VICTORIA: Maybe you can give us a little preview. What were some of your main takeaways from this first round? JORDYN: You know, as ever with early-stage work, it's about identifying your best early adopter market and user persona, and then learning as much as you possibly can about them to inform a roadmap to a product. VICTORIA: What made you decide to start this incubator program this year with thoughtbot? DAWN: We had been doing work with early-stage products and founders, as well as some innovation leads or research and development leads in existing organizations. We had been applying a lot of these processes, like the customer discovery process, Product Design Sprint process to validate new product ideas. And we've been doing that for a really long time. And we've also been noodling on this idea of exploring how we might offer value even sooner to clients that are maybe pre-software product idea. Like many of the initiatives at thoughtbot, it was a little bit experimental for us. We decided to sort of dig into better understanding that market, and seeing how the expertise that we had could be applied in the earlier stage. It's also been a great opportunity for our team to learn and grow. We had Jordyn join our team as Director of Product Strategy. Their experience with having worked at startups and being an early-stage startup founder has been so wonderful for our team to engage with and learn from. And we've been able to offer that value to clients as well. VICTORIA: I love that. So it's for people who have identified a problem, and they think they can come up with a software solution. But they're not quite at the point of being ready to actually build something yet. Is that right? DAWN: Yeah. We've always championed the idea of doing your due diligence around validating the right thing to build. And so that's been a part of the process at thoughtbot for a really long time. But it's always been sort of in the context of building your MVP. So this is going slightly earlier with that idea and saying, what's the next right step for this business? It's really about understanding if there is a market and product opportunity, and then moving into exploring what that opportunity looks like. And then validating that and doing that through user research, and talking to customers, and applying early product and business strategy thinking to the process. VICTORIA: Great. So that probably sets you up for really building the right thing, keeping your overall investment costs lower because you're not wasting time building the wrong thing. And setting you up for that due diligence when you go to investors to say, here's how well I vetted out my idea. Here's the rigor that I applied to building the MVP. JORDYN: Exactly. It's not just about convincing external stakeholders, so that's a key part. You know, maybe it's investors, maybe it's new team members you're looking to hire after the program. It could be anyone. But it's also about convincing yourself. Really, walking down the path of pursuing a startup is not a small undertaking. And we just want to make sure folks are starting with their best foot forward. You know, like Dawn said, let's build the right thing. Let's figure out what that thing is, and then we can think about how to build it right. That's a little quote from a book I really enjoy, by the way. I cannot take credit for that. [laughs] There's this really great book about early-stage validation called The Right It by Alberto Savoia. He was an engineer at Google, started a couple of startups himself, failed in some ways, failed to validate a market opportunity before marching off into building something. And the pain of that caused him to write this book about how to quickly and cheaply validate some market opportunity, market assumptions you might have when you're first starting out. The way he frames that is let's figure out if it's the right it before we build it right. And I just love that book, and I love that framing. You know, if you don't have a market for what you're building, or if they don't understand that they have the pain point you're solving for, it doesn't matter what you build. You got to do that first. And that's really what the focus of this incubator program is. It's that phase of work. Is there a there there? Is there something worth the hard, arduous path of building some software? Is there something there worth walking that path for before you start walking it? VICTORIA: Right. I love that. Well, thank you both so much for coming on and sharing a little bit more about the program. I'm super excited to see what comes out of the first round, and then who gets selected for the second round. So I'm happy to help promote. Any other final takeaways for our listeners today? DAWN: If this sounds intriguing to you, maybe you're at the stage where you're thinking about this process, I definitely encourage people to follow along. We're trying to share as much as we can about this process and this journey for us and our founders. So you can follow along on our blog, on LinkedIn. We're doing a LinkedIn live weekly with the founder in the program. We'll continue to do that with the next founders. And we're really trying to build a community and extend the community, you know, that thoughtbot has built with early-stage founders, so please join us. We'd love to have you. VICTORIA: Wonderful. That's amazing. Thank you both so much. INTRO MUSIC: VICTORIA: This is the Giant Robots Smashing Into Other Giant Robots podcast, where we explore the design, development, and business of great products. I'm your host, Victoria Guido. WILL: And I'm your host, Will WILL. And with us today is Brian Douglas, CEO of OpenSauced, helping enterprises discover best engineers in open source. Brian, thank you for joining us today. BRIAN: My pleasure. Thanks for inviting me on the podcast. VICTORIA: Just tell us a little bit more about OpenSauced. BRIAN: Yeah, it's opensauced.pizza is the URL. So I always point that out because it's easy to found. WILL: I love it. BRIAN: And OpenSauced is a platform for engineers to find their next contributions and enterprises to discover the best engineers doing open-source, so... VICTORIA: Right. So maybe tell me what led you to start this company? BRIAN: Yeah, that's a great question. Actually, if you don't mind, I'll start further back. I graduated college in 2008 during the financial crisis with a finance degree. And what I learned pretty quickly is, like, if you don't know anybody in finance, it's a little hard to get a job in a bad market. So I took a sales role instead, mainly because I just wanted to learn. I was very much introverted. I wanted to learn how to talk to people, and have conversation, and communicate. So I did that four years and then got my MBA. And then started learning how to code while building an app, which is...I mentioned before we hit record I learned about this podcast around that time, which is, like, very serendipitous to be on this podcast years later. But, fast forward, OpenSauced, like, because of the whole networking aspect of how I got my job in sales and how I was able to do sales when I learned how to engineer, I knew the connection to open source, or how I learned how to code was, like, a wealth of information. So I made it my career goal to meet as many developers as possible. And then, I was working at this company called Netlify. I was employee number three there. And my role was to basically be a front-end engineer, but where I was actually getting more adoption to the product by doing open source. Like, every time I'd do an open-source contribution, I'd add a Netlify deploy preview manually in my PR. And that would give the maintainer enough juice to review the PR sooner. And I was doing a lot of open-source contribution at the time. So I wanted to build a tool to maintain, like, all the PRs I had opened in-flight that I needed to respond back to or...because back in, like, 2016, notifications on GitHub they weren't the greatest. WILL: [laughs] BRIAN: So I built a tool just to keep up to date on what I had opened and how I can communicate back with the maintainer. And saw a need...actually, I didn't see the need. I used this thing myself, and then in 2020, I started live streaming myself, building more features on top of this, like, CRM tool, and had a few people ask, "Hey, can you add a login to this? I'd love to use this, too, with my own database and stuff like that." So I did that. I added login. And I say database, like, we actually originally started with no database. We used GitHub Issues as a tracking mechanism for tracking repos and conversations. We've since moved away from that because, now, obviously, GitHub's got way more advanced in how notifications work. But the sort of ethos of the project still lives today, and what we have in the open-source platform. So that's, like, the long tale of how we got to where we are today. And then, I spoke at GitHub Universe on OpenSauced back in 2017. And from that talk, I had GitHub employees reach out to me and ask me to work at GitHub. So I accepted, and I worked at GitHub for almost five years, sort of putting OpenSauced to the side up until last year, decided to go ahead and pursue it again. And at that point, decided to make it a company. VICTORIA: What a cool story. There are so many things in there that I want to follow up on. I'm sure, Will, you also are like -- [laughs] WILL: [laughs] Yes. VICTORIA: I have so many questions. [laughs] WILL: Wow, that's amazing just hearing the story from you [laughs] got a four-year degree in finance, 2008 happened, no job, very hard to get a job because of who you know. And then you go and changed directions to start learning to code. And I love how it's kind of guided your path to where you are here right now. Like, who knows? But would you have been the CEO of OpenSauced if 2008 would have never happened? So it's amazing to see it. So, I guess, because I love the idea of OpenSauced...because I am that developer that wants to get into open source, but it is hard. It is hard to find the issues that you can work on. It's hard to get into the community to do that. So, if you can just explain to me a little bit more as from there, and we can do it from the enterprise portion later. But, as far as a user: a developer, what does it look like for me to use OpenSauced as a developer? BRIAN: Yeah, yeah. And that's a great question, too, as well. It's funny how serendipitous the story is today, but when I was living it, it was like, oh, man, I'm never going to get a job. [laughter] Or I'm never going to learn how to code. And I think anybody listening who might be where I was ten years ago, I just want to preface, like, your story is like a guided path through experiences. And every experience is like an opportunity for that sort of one piece of, like, the sort of stepping stone to move on to, like, CEO of whatever your next startup is or senior engineer, or staff engineer, whatever it is. But, to answer your question, Will, we built a Discord, and the Discord itself is how we sort of discovered this sort of onboard ramp into open source. So today, if you sign up to OpenSauced, again, opensauced.pizza, you connect to your GitHub account, and you get on-boarded into a flow to ask a couple questions. So, like, what languages are you interested in? And then, what time zone are you in? And the reason for those two things is, one because we're going to do recommendations for projects pretty soon. Everything is open source, so you can literally see the issues that are open about recommendations; happy to take contributions and feedback on it. And then time zone is because communication is pretty key. So, like, if someone is not awake when I see their PR, I have an expectation of, like, cool, I'll write a response, and I'll wait for them to wake up and respond back to that. So the goal there is there's a lot of projects on GitHub, like, 372 million repos is the number off the top of my head. They literally announce this stuff, and they share the data. But of those repos, only 225,000 have more than five contributors. Understanding what you're looking to accomplish first out of doing open source to either share knowledge, or gain knowledge, to get exposure, to get a job, or just to enhance your current job by go try something that's not in the roadmap of what you're working on. Eventually, we'll start asking those questions around, like, what type of contributor that you want to be, so we can start recommending those types of projects. But I mentioned that 225,000 repo number because there are a lot of projects that don't have five contributors that could use their second contributor, or third, fourth. And my recommendation is always find up-and-coming, like, growth-stage projects. A lot of people want to contribute to React. You had mentioned you did React, Will. That's a really big lift to go contribute upstream to a project maintained and supported by millions of enterprises around the world. But there are tons of projects that go trending every week that have no documentation, that have no README, that have no structure and are just getting off the ground. Like, those are the best projects that we try to showcase. So, like, that's hot.opensauced.pizza is our sort of up-and-coming project list. And the way that works is like projects that are trending based on our open-source community; we surface those there. There's a lot of work we have to do on that project. That was, like, a Hack Week project we did a couple of years ago as a community. But the basis of that is they're looking to build our recommendation engine off that. So, step one is find a project that is welcoming, that needs some work done, and then find the path in. So the path usually is going to be your CONTRIBUTING.md, which is like established projects will have this. But if you don't find a CONTRIBUTING.md, but you find a project you want to use, chances are you could build that CONTRIBUTING.md and ask the question, so, like, hey, how would I contribute? Like, how can I be supportive? Actually, I did this talk a couple of years ago at Juneteenth Conf. It was a remote conference on Juneteenth, which a bunch of Black Engineers we all gave our technical expertise sponsored by Microsoft. And I was talking about the idea of open-source hospitality. The best thing you could do is be that sort of hospitable person, either you're a maintainer or a first-time contributor. Like, be that person to set it up for the next person behind you. And the idea of hospitality, you go to a hotel. Like, you know where the towels are. Like, you know where the soaps are. Like, you know exactly where everything is all the time. And, in open source, like, if we could set up our projects in a very similar fashion, like, not franchise them in a way like the Hilton or Marriott, but set the expectation that there is a way to source information and to interact and operate, so... VICTORIA: Yeah, I mean, I love, [laughs] like, hot.opensauced.pizza. That's hilarious. And I love how you have used humor to...even though it's a very serious product, we're making it more friendly and more hospitable like you're saying. And I like how you said, you know, the journey is cool looking back on it, but it was really hard to go through it. And now you're this wonderful speaker and a CEO. But you said that you weren't actually good at talking to people at first. And you specifically sought to get better at that skill. So I wonder if you would share more about that, how that's impacted your career, and why that's important as a developer to have those communication skills. BRIAN: Yeah, it's like...I have a twin brother since birth, basically. And my twin brother is very extroverted. Like, he actually used to wait tables in college. It was like he was the person that would make you feel very special as a server. Like, he's the type of person that kind of lights up the room when you walk in. His name is Brock. My entire life growing up, I was always Brock's brother. And it's like, oh, you're Brock's brother. And it's like, yeah, I'm Brock's brother. And I'm more of a person, like, if you meet me in person, like, I'm very much reserved. I'm sort of reading the room, waiting for my point to jump in. And I made it a point for me to, like, have enough comfort to speak on a podcast or speak at a conference because I knew that skill set would be valuable. Because I definitely had, in my sales career, definitely got overlooked for a lot of opportunity because folks thought, oh, I don't think Brian could do it. So coming into tech and seeing that when every time I went to a meet up...because meetups also are places where I cut my teeth and got to learn about the industry and the community. They always needed someone to speak. So I was, like, oh, there's an opportunity. I can leverage this opportunity of them always looking for speakers and me always wanting to share knowledge and learn something new to do talks. So my first-ever conference talk was in San Francisco. And I had learned React Native, but prior to React Native, I had learned Objective-C. And then, in between Objective-C and React Native, I learned Swift because React Native and Swift came out the same year. Well, React Native went public, open source, the same year as Swift. So it was like a really interesting year back in; I think it was 2017 where...actually, it might have been 2016. But, anyway, everything came out at the same time. And I was learning iOS development. So I made it a point for me to give a talk. But my pet peeve for giving talks is, a lot of times, people just go directly into the code, and there's, like, no connection to a story, or why do I care about this? So I always bring storytelling into my conversations and talks. So, like, that talk about Swift, and Objective-C, and React Native, I made the comparison of, like...it was the same year that Kanye West took the mic from Taylor Swift at the VMAs or whatever the award show was. And the correlation was React Native took the mic away from Swift because it built similar interactions for JavaScript developers to understand and build iOS applications that was not like Ionic or RubyMine or...I forgot the Ruby one. But, anyway, what I'm getting at is, I just wanted to bring story to this because usually what happens is like, you see cool things, but you never remember what the name is. You try to find that REPL again, or you try to figure out who that speaker is. And it's usually hard to find it after the fact. So, like, my goal was always to make it memorable, which is why I go by Bdougie because Bdougie is easier to Google than Brian Douglas. Shout out to Brian Douglas, who's based in Ireland who does system engineering, and has a great YouTube channel. Like, I want to be memorable. And I want to make it easy for folks to find me after. So, while at GitHub, when I was developing all this sort of like Kanye West-type speaking and stuff like that, well, literally, I would use Kanye West years ago as the example to understand storytelling. I no longer use Kanye West. I'm now a Beyoncé advocate. [laughter] So I use Beyoncé instead. But I guess what I'm getting at is, like, I just had a goal. And I knew if I could teach myself to code...and it was about 17 weeks it took me from zero to ship a Ruby on Rails app. And I felt confident enough to talk about it. I knew basically anything I could just accomplish just by putting some effort and consistency behind it. So that's the...sorry, that was a little more long-winded than expected. But I just keep accountable and set goals for myself and try to achieve enough to feel proud about at the end of the year. WILL: Yeah. It's so funny because I recently had a similar situation. At thoughtbot, we try to engage with the community, and one of the ways was writing a blog post. I've never been a writer. It just hasn't been my thing. But I was telling my boss, I was like, I'm going to do that to get outside my comfort zone and to really stretch myself. And at the same time, I was like, why a blog post? Like, I don't know, it doesn't really make sense why a blog post. Well, when I started writing the blog post, I was like, oh, you have to really know, one, what you're talking about in order to write about it. And so I had to really do some research, really had to study it. And I finished it last week. And then, now, looking back over the last couple of months it took me to write that blog post, I'm like, wow, I feel stretched. But I feel really good, and I feel really good about the topic that I did. So that's interesting that you went through that process to stretch yourself and to grow and even learning to code and get to that point. So talking about...you were at Netlify, and then you worked at GitHub. And then you're at your current one OpenSauced. How have Netlify and GitHub, the work that you did there, how has it prepared you for your position right now? BRIAN: You know, actually, that's a great question. I don't know how much thought I put into that. Like, Netlify prepared me because it gave me an opportunity. So I was employee number three, but I had a sales background. And so I got to be an engineer, but they kept always trying to ask me like, you know, business questions and strategy. And, like, I pitched them a 30-60-90 in my interview of, like, what's the growth strategy of Netlify, like day zero when I start? And I go into way more detail in other content. But that prepared me because I got to see how startups work, being so early. I got to see that startup go from seed-funded, just closed their seed round to get their series B is when I left. At GitHub, I got to see what it looked like at a bigger company, which, like, it doesn't matter how big or small you are, like, there's always chaos. Like, GitHub was, like, so much chaos, and there was a lot of good that was happening but a lot of uncertainty at the time I joined in 2018. And then, nine months later, Microsoft acquired GitHub. So then I got to learn stability and what it looks like to...for personal reasons, I always had a budget but never had extra money, even years into my engineering career. And that taught me what it looks like when success meets career. With that being said, like, the problem that I'm solving, I got to learn firsthand while being at Netlify and getting adoption and traction through open source. And then going to GitHub and seeing every single other company that looked at GitHub as a solution to their open-source collaborations and interactions. And then also seeing that there was a hole in just understanding, like, how do you survive? How do you sustain yourself as your career but also your open-source project? Like, a lot of folks want to know, like, what success looks like for open source. Like, how do you get on the trending algorithm? Like, how do you get noticed? It's more than just pushing to GitHub and hoping for the best. There are, like, other things that happen for projects to be successful. And for us to choose the next in the future technologies, it really comes down to community, marketing, and then resources. And those three things end up making projects successful. With OpenSauced, we're working to help inflate some storytelling and add some of those resources to open-source projects. VICTORIA: Great. So you were able to really get, like, the full vision of what it could be if you had a product that became successful and stable, and you knew you wanted to build it on open source. So I love that you really just...you had this problem, and that's what you built the product around. And that ended up becoming the business. What was surprising for you in those early discovery phases with OpenSauced when you were first thinking of building it? BRIAN: I guess what's really surprising is we're not, like, crazy traction today. But we've done a pretty good job of getting, like, 2,000 developers to sign up to it since December. And then the conversations with enterprises so far just by the sheer...like, basically, what was surprising is if you use proper sales technique and you're early stage as a startup, so, like, not necessarily hire salespeople, but as a founder or as a stakeholder, just go talk to your future customers and your users. Everyone says it, but that's actually super valuable. And I think in the same vein of open source, folks they see projects die on the vine, but then you see projects succeed. And I think it also comes down to how often the maintainer of the project is talking to the contributors and the users and also that distinction as well. There are folks who want to contribute code to the codebase, but then there are folks who want to use the codebase. And, like, how do you interact between the two? And how do you cross the chasm for those folks as well? And, a lot of times, it's just fascinating just, like, just by trying, and just by showing up, that's half. It's all cliché stuff, like, I could say, but it's all true. Like, showing up is, like, it's, like, step one. Just show up, do the thing, do the work. And then talk to people is, like, step two. And it's hard to say, like, okay, yeah, because we are not a multibillion-dollar company, like, we're just getting started. So I can't say, like, yeah, we're super successful. But we've survived the year. And we've survived the year based on those two steps, the showing up and then talking to people. Because a lot of times, we could get lost in the sauce, per se, of just shipping code and never talking to anybody and never coming up for air. And I think what I learned, going back to what I learned from GitHub and Netlify, is talking to people and getting that feedback loop going is the best thing you could do for any product. Any early project, any feature you're working on, talk to people about it and see if it's actually valuable for somebody that after you ship it, something will happen. WILL: You're talking about communication is a big thing for a successful project. Have you noticed any other trends that make a successful open-source project? BRIAN: Yeah, that's...Any other trends? Yeah. I mean, AI, [laughs] just kidding. WILL: [laughs] BRIAN: No, I mean, but it also it is true, like, having a trend not sort of following the herd, but catching the herd earlier is extremely valuable. Like, at Netlify, we caught the trend of React. So, basically, Netlify built essentially GitHub Pages but a product and a company. And that was, like, the original project of Netlify. It's expanded so much further from that. But at that time, when I joined, I joined three months before Create React App was developed. So, like, it was a CLI tool to build React apps easy. And, prior to that, React was, like, super complicated to get up and running. Like, you had to know Webpack. You had to know, Babel. You had to make all that glue happen together. And then there wasn't an easy process to go host it somewhere. So the prevalence of build tools like Grunt, and Gulp, and Browserify, they all made it easier to build a static output from React. And that trend is what took Netlify to where it is today. It's like, people needed a place to deploy these static applications. GitHub Pages was like the solution for a lot of folks. Because Heroku, like, why pay $7 for something you could host on S3 for free? But the challenge was S3 it requires way more thought in how you host and take it down and deploy, and then it becomes like a Kubernetes nightmare. So the trend there was, like, people just wanted to have a better developer experience. When it comes to, like, open source, the developer experience in JavaScript has improved so much more. But folks are now looking at the next thing like a Zig, or a Rust, or all these other new languages and server renderings and stuff like that. So I guess when I take a step back, when I look at how I chose things I wanted to work on, and communities I wanted to hang out in...before committing to React...I'm based out here in Oakland, so San Francisco, basically. By seeing the sheer number of RSVPs to the React meetup, it made me confident that React would be something I should pay attention to. When you look at the RSVPs of now all these AI meetups that are happening in San Francisco, like, every single weekend is a hackathon. Highly confident that if you're engineering today, you probably want to know what embeddings are and know how OpenAI works. Not that you necessarily have to build AI stuff, but it is going to be the thing that people are going to be using. So just like we had to learn build tools, and servers, and CDNs prior, now it's all trivial stuff that you can sort of use Cloudflare for free. Like, AI is going to be very similar, and it's probably going to happen much quicker. But, in the time being, the trend right now is, like, you should probably understand whatever the players are in that space so that way you're able to talk confidently about it. WILL: That's really good advice, yep. VICTORIA: Absolutely. And, you know, in my role as Managing Director of Mission Control, or, like, DevOps, SRE platform, I spend a lot of time looking at trends, more on the engineering side. So I think my question is, [laughs] as someone who hires people to work on open-source projects, and who actively maintains and contributes to open-source projects, what should I be thinking about how to use OpenSauced as in my role? BRIAN: For hiring and sourcing skilled folks, we're actually working on a tool right now to make it more discoverable. So, today, when you onboard as an individual developer, you can check a box in your settings to say, like, if you want to collaborate with other folks, you have to opt into it. So if you want to be discovered on OpenSauced, it's in the settings. We'll probably expose that and share more about that in the future, like, in the next month or so. But for, in particular, our user flow today for folks looking to find other people to contribute alongside their project is, you add your project to what we call an Insight Page. You click on the tab on the top and create a page with your project. And then, you can see contributions in your project in the last 30 days. And then you can also add other projects like your project, so you can see who else is contributing. So, that way, you can start discovering folks who are making contributions consistently and start to get some stories of, like, if they're interested in collaborating, they'll check that box; if they're not, the box won't be checked. But at least you know the sort of scope of the ecosystem. As an individual developer, we have the onboarding flow, but then we also have highlights. So, eventually, we'll do recommendations to get you to make contributions. But, for now, if you're already making contributions, you can highlight the contributions you've made so that way, you're more discoverable on the platform. And the highlights are very much like a LinkedIn post or a tweet. You just drop in a PR, and then we'll either generate that description for you, or you write a description: I did a thing. This is what it was. This was the experience. And then, now you're attached to the project through not just a code contribution but also a discovery mechanism, which is a highlight. And then, eventually, we'll start doing blog posts, and guides, and stuff like that, as they're written. Like, if you want to attribute your career, and your journey to your participation to, like, documentation updates and stuff like that, those will also be highlights coming soon. WILL: I love, love, love that. MID-ROLL AD: Now that you have funding, it's time to design, build and ship the most impactful MVP that wows customers now and can scale in the future. thoughtbot Lift Off brings you the most reliable cross-functional team of product experts to mitigate risk and set you up for long-term success. As your trusted, experienced technical partner, we'll help launch your new product and guide you into a future-forward business that takes advantage of today's new technologies and agile best practices. Make the right decisions for tomorrow, today. Get in touch at: thoughtbot.com/liftoff WILL: I hear you saying that you have some things that's coming soon. In a high, high level, what are some of the things that you have coming? And what does success look like, six months, a year? What does that look like? Because it sounds like you have some really good ideas that you're working on. BRIAN: Yeah, yeah. So, like, six months to the end of the year, what we want to do is actually start getting more deeper insights to what's happening in open source. What we're doing right now is building the individual developer profile and experience so that way, they're able to be discovered, find projects to work on. And then what's next is there are tons of enterprises and companies that are maintaining open-source projects, SDKs. And what we're seeing right now is we're seeing massive layoffs happening currently in the industry. So like, as of today, I think Facebook laid off 4,000 people, ESPN laid off, like, 7,000 Disney employees as well. And some of those employees are around the Disney+ place. It's a lot of technical engineering stuff. So I guess what I'm getting at is there...we want to be able to see the trends of places that activity is happening and start recommending people to that. But also, we want to give an opportunity for folks who...companies...sorry, I'm avoiding trying to name specific companies because nothing is in contract yet. But certain companies, like, you, don't think of as an open-source powerhouse. So, like, a company we're now talking to right now is walgreens.com. And Walgreens they have tech. They've got open source that they participated. But they're not thought of as a place like, oh, I want to go work at Walgreens and go work on some cloud infrastructure stuff. So, how does Walgreens get exposure? And, like, hey, we're involved in the kubectl, and the Kubernetes platform and stuff like that, like, be aware that there's opportunity here. So we're going to start driving that connection to folks. So, as you develop your career doing open source, you can also be noticed, and folks can reach out to you. And also, I want to stand on the notion of open source is not for everybody. But I also want to point out, like, my entire career in open source has not been nights and weekends. It's always been finding a company that supports my interest to do open-source at work. Part of my story is, like, I was getting an MBA. My first kid, who's nine years old now he, was born 11 weeks early. And he's the reason why I built an app because I wanted to build an app to solve a pain point that I had, and ended up building that in 17 weeks. And that turned into opportunity. So I guess what I'm getting at is, like, folks being laid off right now, you might have some extra free time. You might be submitting like 100 applications a day. Consider taking that down to 50 applications a day, and then try to contribute to a couple of open-source projects a month. So that way, there's some more story to be shared as you're in the job market. VICTORIA: I love that you created that app when you had your son and you had that need. And for developers wanting to get noticed and wanting to get their next leg up or maybe even negotiate for higher salaries, what's the traditional way people do that now to kind of highlight themselves? BRIAN: The traditional way what people are doing is they're tweeting. They're speaking at conferences. They're sharing their stories. It's like zero to I'm an influencer in the open-source space. There's no real clear guide and steps to get to that point, which is why we have highlights today. Like, we want to make it low effort for folks to write 200 characters about something they contributed to. We're actually working on something to generate pull request descriptions because I think that's another missed opportunity. Like, when you open a PR in an open-source project, and it says no description added, like, that's a missed opportunity. Like, there's an opportunity for you to share what you've learned, what Stack Overflow questions you looked at, like, how you got to the problem, and why this is the right solution. All should be in the pull request description. And then that pull request should be in your cover letter for your resume so that people can go back and say, "Oh, wow, you did some real work." I can go see the history of your contributions because perhaps the job you got let go from you only worked in private repos. You couldn't really showcase your skills. That now gives you a competitive edge. And I guess when I look into this, like, going back to my original onboard ramp into engineering, I graduated with a finance degree with no network. I had one internship at an insurance company, but that wasn't enough. Like, everyone who I interned with, like, the guy who got a job at the internship, like, his dad was a client, was a big client at that firm. And another guy he worked at a golf course, and he'd be the caddy for all these big finance folks where I went to school. So, once I learned that there's an opportunity to get a job by just knowing people, that changed my entire path. Like, when I got to sales, like, oh, or when I got to engineering, I just knew go and meet people. Go have conversations. Go to meetups. What I'm trying to do with OpenSauced is make that step closer for folks, so they could look up and be like, you know, I've made all these contributions, or I don't know where to start. Let me just look at people who I know and follow in the industry and see where they're contributing, and make that connection. So, like, we've kind of closed that gap without the need of, again, you don't need 100,000 Twitter followers to get noticed. Just make some contributions or show up and ask questions. And, hopefully, that's the first step to establishing your career. VICTORIA: Well, that sounds great for both people who are looking to get hired, but also, as someone who hires people, [laughter] I know that there's a lot of amazing developers who are never going to do a conference talk, or they're not going to post on Twitter. So I love that that's available, and that's something you're working on. BRIAN: Yeah, it's just coming out of my own pain of, like, I was saying, like, looking at the story now, it sounds great. [laughs] But part of that story was like, hey, I was getting severely underpaid as an engineer in San Francisco, living in a one-bedroom apartment with two kids. Like, all that part of the story is like nothing I dwell on. But it's like, all that opportunity and knowledge-sharing that I ended up benefiting from, it's like what I constantly try to give. I pay it forward with folks. And I'm more than happy to talk with folks on Twitter and in OpenSauced Discord and other places because I think there's a lot of opportunity in open source. And if anybody's willing to listen, I'm willing to show them the path. WILL: I'm so glad you brought that up because this is one of my favorite questions I ask on the podcast: So, knowing where you're at right now and your story, you've gone the ups, the downs, all of it. If you can go back in time and know what you know now, what advice would you give yourself at the beginning? BRIAN: Honestly, I would say write it down. Like, one thing that I did is I did a blog post, and that's part of the reason why I was able to find my first job in engineering is I started a blog, which was really for myself to learn what I did yesterday. I tell everyone who I mentor it takes two hours every time you want to sit and learn something new because one hour is to remember what you did yesterday, and then one hour is to do something new. And so, I usually write it down and then make it a blog post just to solve that problem. I wish I did more with that, like, you know, wrote a book, or created a YouTube channel, or something because all that knowledge and that sort of sharing is actually what got me to level up faster. I was asked by one of my close friends, like, "Hey, how do you do it? How do you accomplish everything you've done in the last, like, 9-10 years?" And I didn't know what the answer was then. But the answer today for my friend, and I'll share this with them, is it's because I wrote it down. I was able to go back and see what I did. And then, at the end of six months, I was able to go back six months and see what I did. It's like the idea of relativity with, like, Einstein. Relativity is the idea of motion and the perception. Like, if you're in a train, it feels like you're just going slow. But you might be going 100 miles per hour, but you don't feel that. And when you're going on your journey, you could be going 100 miles per hour, but you're thinking, oh, man, I failed yesterday. I could have solved a problem. But yeah, you solved six problems while trying to solve for one. It's that situation. So advice for myself, in the beginning, write it down and then share it way more than I did when I started. Because a lot of the stuff I'm like, even in this conversation, I'm thinking, oh yeah, this, this, and this. And I never shared that before, and I wish I did. So yeah. WILL: I love that. Because yeah, I feel like that's development, like, you have some weeks that you're shipping out multiple features. And then other weeks, you're like, I barely got one out, or I barely fixed this one bug that I've been trying to...struggling with the last couple of weeks. So yeah, I like that advice. Write it down. And remember where you've been, remember. I just love the example you used, too, because it does seem like I haven't made any movement. But when you look back, you're like, no, you actually made a lot of movement. And you were very successful with what you did. So that's great advice. VICTORIA: I sometimes write things, and then I go back maybe six months later and read them. And I'm like, who wrote this? [laughter] I don't remember learning this stuff. Oh yeah, I guess I did, right, yeah. [laughs] No, that's so cool. What questions do you have for us, Brian? BRIAN: I'm curious in, like, how do thoughtbot folks stay up to date? Like, what does your involvement in open source look like today? VICTORIA: Yeah, so we are known for being active maintainers of a lot of very popular Ruby on Rails gems. So we're a consulting agency. So we're able to structure our time with our clients so that we can build in what we call investment days, which is typically Fridays, so that people can contribute to open-source projects. They can write blog posts. They can do trainings. And so that gives us the structure to be able to actually allow our employees to contribute to open source, and it's a huge part of our business as well. So if you have a Ruby on Rails project, you're probably using one of our gems. [laughs] And so, when there's other crises or other things happening in an organization, and they want to bring in an expert, they know that that's who thoughtbot is. Of course, we've expanded, and we do React, and now we're doing platform engineering. And we have some open-source TerraForm modules that we use to migrate people onto AWS and operate at that enterprise level with a mix of managed products from AWS as well. And that continues to be, like, how we talk to people [laughs] and get that buzzword out there is, like, okay, there's this cool open-source project. Like, one I'm excited about now is OpenTelemetry. And so we're digging into that and figuring out how we can contribute. And can we make a big impact here? And that just opens the door to conversations in a way that is less salesy, right? [laughs] And people know us as the contributors and maintainers, and that creates a level of trust that goes a long way. And also, it really speaks to how we operate as a company as well, where the code is open and when we give it back to the customers, it's not. Some organizations will build stuff and then never give it to you. [laughs] BRIAN: Yeah. So it sounds like folks at thoughtbot could probably benefit from things like OpenSauced for discoverability. And I get a lot of conversation around in OpenSauced as like, how do I get connected to maintainer of X or maintainer of Y? And the first step is like, how do I even know who the maintainer is? Because when you go to GitHub, you could sort this by last commit date, which not a lot of people know. You can sort the contributors by most frequently and stuff like that. But it's challenging to find out who to reach out to when it comes to packages, especially when people move on. Like, someone created a thing. They have tons of commits. And then they look like they're the number one committer for the past ten years, but they left five years ago. Those are things that we're trying to make more discoverable to solve that problem. But then, going into that thoughtbot thing, is like being able to reach out to thoughtbot and be like, oh, who can I reach out to about this gem? And, say, I have an idea, or we have an issue; how can we get unblocked because we're using this in our product? And I imagine with consulting, there's an opportunity to say, hey thoughtbot...which, honestly, at Netlify, we used thoughtbot to solve some harder problems for us. We were just like, yeah, we don't have the bandwidth to go down this path. Let's go to consulting to unblock us in this arena. VICTORIA: Right. And that was really important to me in making the decision to join thoughtbot last year is that it was built around open source. And that ethos really spoke to me as, like, this is a place where I want to work. [laughs] And you can think of, like, if you're looking for vendors, like, oh, I want to work with people who have that same ethos. So yeah, OpenSauced seems like a really cool product. I'd be curious about how we can leverage it more at thoughtbot. BRIAN: We just shipped a feature called Teams, which it's self-explanatory. But, basically, when you build an insight page, you're able to build a team to help the discover process of what's happening in contributions. You get details and reporting on OpenSauced. The goal is basically to unblock teams who are involved in open source together and make it more discoverable for folks who want to find maintainers and collaborate with them. VICTORIA: Will, I know we're running close on time. But I had one more question about what you said around making open source more hospitable. And, you know, you mentioned going to Juneteenth Conf. And I'm curious if you have a perspective on if open source is equitably accessible to everyone or if there are things we can be doing as a community to be more inclusive. BRIAN: Yeah, it's a great question. So the first answer is quick, it's no. The reason why it's no is because we have to admit [laughs] where there are inequitable situations. And as much as we want to set this up of, like, I want to say that there's opportunity for everyone to contribute based on no matter where their background, but just by your time zone, makes it inequitable of, like, whether you can contribute to open source. Because if you look at the data and zoom out, most open source happens in the West Coast U.S., so from San Francisco to Seattle. Like, majority of contributions are there. There are reasons for that. Like, California has a very, very expressive clause of like where you can contribute. And, technically, your employer can block you on doing open-source contributions. Unless you sign...like, at Apple, you sign away your rights to be able to do that in your employee offer letter. Sorry, [laughs] not to be a dig against Apple. Apple buy lots of open source. But what I'm getting at is that the opportunity is there, but it's the awareness thing. I'm part of an organization called DevColor. It's an organization of Black engineers in tech. We have squads and monthly meetings where we just talk about our career, and growth, and stuff like that. And I attribute a lot of that interactions to my success is, like, talking to other folks who are years ahead of me and have a lot more experience. But I say this because the majority of the folks that I interact with at DevColor they don't do open source because they all...to be a Black engineer at a level of like senior engineer at Netlify, or a staff engineer, or a manager...sorry, I meant, like, Netflix but Netlify too. You basically had a career path of, like, you probably went to school at a decent engineering school, or you figured out how to get a job at Facebook or Google. And, like, that's pretty much it. And, like, this is a blanket statement. I totally understand there are outliers. But the majority of the folks I interact with at DevColor they have a job. They have a great job. And they're doing the thing, and they're being very successful. But there's less community interaction. And that's what DevColor exists for is to encourage that community interaction and participation. So, at the end of the day, like, there's opportunity to make it more equitable. So things like, every time there's a release cut for a major open-source project, why not go to Black Girls CODE and have them build something with it? And, again, very specific, like, React 19 that's currently being tested, why not go to all these other underrepresented organizations and partner with them to show them how to use this project? Because the assumption is everyone in open source, you got to be senior enough to participate, or if it's too hot, get out of the kitchen. But if we set up a place for people to interact and level up, in three or four years from now, you'll see the open-source ecosystem of that project be completely different as far as diversity. But it takes that investment to have that onboard ramp to even have that connection or conversation about testing early releases with underrepresented groups in engineering. That's where we have to start, and that's what we're trying to do at OpenSauced. We want to make that connection. I have a whole plan for it. I'll share in a blog post. I also mentioned that a lot of these thoughts are on our blog as well. I've been writing blog posts around these conversations. So opensauced.pizza/blog if you're interested. VICTORIA: Very cool. Thank you for that. WILL: I'm just processing on the whole conversation. It has just been great. VICTORIA: Yes. Thank you so much for sharing with us. And I wonder, do you have any final takeaways for our listeners today, Brian? BRIAN: Yeah, final takeaways. Like, if anything at all resonated in this conversation, please reach out, bdougie on GitHub. I'm pretty active with my notifications. So if you @ mention me in a random project, I'll probably jump back in and respond to you. But also Twitter @bdougieYO. And then, I mentioned our blog. We also have a newsletter. So, if you're interested in any of this OpenSauced journey, please join us there, and keep in touch. VICTORIA: Wonderful. Thank you so much for joining us today and sharing your story. You can subscribe to the show and find notes along with a complete transcript for this episode at giantrobots.fm. If you have questions or comments, email us at hosts@giantrobots.fm. And you can find me on Twitter @victori_ousg. WILL: And you could find me @will23larry This podcast is brought to you by thoughtbot and produced and edited by Mandy Moore. Thank you. ANNOUNCER: This podcast is brought to you by thoughtbot, your expert strategy, design, development, and product management partner. We bring digital products from idea to success and teach you how because we care. Learn more at thoughtbot.com. Special Guest: Brian Douglas.

We have a laugh at Elon's alt account, why the knives are out for GitHub Co-pilot, and our thoughts on Apple's "major victory" this week.

Jakiś czas temu Docusaurus zaskarbił sobie naszą sympatię, dlatego strona naszego podcastu przez kilka lat opierała się właśnie na tym narzędziu. Nadszedł moment, w którym postanowiliśmy ją odświeżyć. Przy tej okazji rozstaliśmy się z naszym starym znajomym i sięgnęliśmy po Next.js. Rozmawiamy o tym dlaczego zdecydowaliśmy się na migrację, co dzięki temu zyskaliśmy i w jaki sposób nowe narzędzie pozwoliło nam rozwiązać pewne problemy i wprowadzić usprawnienia. Dźwięki wykorzystane w audycji pochodzą z kolekcji "107 Free Retro Game Sounds" dostępnej na stronie https://dominik-braun.net, udostępnianej na podstawie licencji Creative Commons license CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Informacje dodatkowe: Next.js: https://nextjs.org/ Docusaurus: https://docusaurus.io/ Anchor.fm: https://anchor.fm GitHub Pages: https://pages.github.com/ GitHub Actions: https://github.com/features/actions Material UI (MUI): https://mui.com/ React: https://pl.reactjs.org/ Express: https://expressjs.com/ Node.js: https://nodejs.org/ EJS: https://ejs.co/ Element : https://developer.mozilla.org/en-US/docs/Web/HTML/Element/audio Zasada Pareta: https://pl.wikipedia.org/wiki/Zasada_Pareta Gra siatka koncentracji: https://techwriterkoduje.pl/focusgrid Algolia: https://www.algolia.com/ Fuse.js: https://fusejs.io/ Źródło strony techwriterkoduje.pl na GitHub: https://github.com/techwriterkoduje/podcast-site Incremental Static Regeneration (ISR) w Next.js: https://nextjs.org/docs/basic-features/data-fetching/incremental-static-regeneration "#50 Tech Writer bloguje z GitHub Issues, czyli nietuzinkowy sposób na platformę contentową", Tech Writer koduje: https://techwriterkoduje.pl/blog/2023/1/26/50

Kiedy słyszymy Content Management System (CMS) to najpewniej w pierwszym momencie przychodzi nam na myśl WordPress albo Drupal. Raczej mało kto podejrzewa, że System Zarządzania Incydentami (Issue Tracking System) może również w powodzeniem służyć nam do zarządzania treścią. Rozmawiamy o platformie Octotype, która wykorzystuje Next.js do publikowania wpisów z GitHub Issues. Omawiamy szczegóły tego rozwiązania i zastanawiamy się czy podobne podejście można by wykorzystać w świecie dokumentacji technicznej. Sprostowanie: Podczas nagrania skrótowiec ISR rozwijamy jako "Incremental Site Regeneration". To jest błąd z naszej strony, ponieważ prawidłowa wersja to "Incremental Static Regeneration". Dźwięki wykorzystane w audycji pochodzą z kolekcji "107 Free Retro Game Sounds" dostępnej na stronie https://dominik-braun.net, udostępnianej na podstawie licencji Creative Commons license CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Informacje dodatkowe: Octotype: https://octotype.app/ Profil Pablo Bermejo na LinkedIn: https://es.linkedin.com/in/pablobermejo Vercel: https://vercel.com Medium: https://medium.com/ Dev.to: https://dev.to/ Hashnode: https://hashnode.com/ GitHub Issues: https://github.com/features/issues ChatGPT: https://openai.com/blog/chatgpt/ TypeScript: https://www.typescriptlang.org/ Incremental Static Regeneration (ISR) w Next.js: https://nextjs.org/docs/basic-features/data-fetching/incremental-static-regeneration Introducing JSX: https://reactjs.org/docs/introducing-jsx.html "#32 Tech Writer zatrudnia asystenta, czyli sztuczna inteligencja w służbie dokumentacji", Tech Writer koduje: https://techwriterkoduje.pl/blog/2021/07/29/tech-writer-zatrudnia-asystenta Mastodon: https://joinmastodon.org/ diaspora*: https://diasporafoundation.org/ WordPress: https://wordpress.com/ Strapi: https://strapi.io/

Daniel tells Manton about finally leaving FogBugz and going deep on Help Scout and GitHub Issues. Meanwhile Manton has also finished his migration to Help Scout! They talk about their mutual satisfaction with Help Scout and about how to best manage GitHub Issues. The post Episode 503: I’m Not Complaining Exactly appeared first on Core Intuition.

Diese Woche gibt es eine ganze Reihe an kleinen Themen:Welche Neuigkeiten bringt Laravel 9 mit sich?Android 13 erscheint im ersten Developer Preview.Apple geht seinen Weg und kassiert 27% Gebühren, wenn man nicht das Apple-eigene Bezahlsystem für Dating-Apps in den Niederlanden verwenden möchte.Apple stellt Tap to Pay als Framework vor.GitHub Issues ist jetzt für jede:n in der Beta-Version verfügbar.TypeScript 4.6 hat einen ersten Release Candidate.Node 17.5 bringt auch ein paar schöne Neuerungen mit sich.Evan You hat die neue Vuejs.org Webseite präsentiert, die einige spannende Features enthält. Schreibt uns! Schickt uns eure Themenwünsche und euer Feedback: podcast@programmier.barFolgt uns! Bleibt auf dem Laufenden über zukünftige Folgen und virtuelle Meetups und beteiligt euch an Community-Diskussionen. TwitterInstagramFacebookMeetupYouTube

Liebe Zuhörerinnen und Zuhörer, wir haben es mal wieder vollbracht. Heute gibts eine neue Episode auf die Ohren. Wir haben unser Planungs Setup umgezogen von Github Issues zu Notion. Warum, Wieso, Weshalb Erfahrt ihr in dieser Folge. Viel Spaß beim zuhören und wie immer, gerne Feedback. Benny & Jurek Links der Woche: Benny: Twitter Account von Tibo Maker (https://heyper.link/SgbcnF) Jurek: Amplosion App (https://heyper.link/UT1sMY) --- Send in a voice message: https://anchor.fm/schaffdichgluecklich/message

In this video, chris provides another update on Cloud with Chris, updates on what's coming soon and Azure related news! We'll also be walking through the new GitHub Issues Beta!

Новостной эпизод подкаста "Data Coffee" с вашими любимыми ведущими! Shownotes: 00:30 Поддержка 3rd party cookies от Google и методика подсчёта ТВ-рейтинга 11:21 Data Engineering Manifesto 24:49 Контролируемая утечка из LinkedIn 30:40 Microsoft показывает Windows 11 пока ведущие поют оды Linux 40:57 GitHub Issues и фантазии насчёт виртуальных помощников 47:24 “Добрые” люди опустошают ваши старые NAS от WD 52:28 Социализм Евросоюза лезет в ваш контракт 58:56 Экомониторинг Байкала — имиджевый проект или польза? Обложка - Hacker behind PC, Public Domain Канал в Telegram: https://t.me/datacoffee, профиль в Twitter: https://twitter.com/_DataCoffee_ Чат подкаста, где можно предложить темы для будущих выпусков, а также обсудить эпизоды: https://t.me/datacoffee_chat

Vollgepackt mit spannenden Inhalten geht es in dieser News-Ausgabe um folgende Themen:Wir reden über das neue Kotlin Multiplatform Mobile (KMM) Plugin für AppCode und was sich daraus für Möglichkeiten ergeben, iOS und Android Apps mit geteilter Kotlin-Code-Basis zu bauen.Microsoft hat offiziell Windows 11 vorgestellt und wir sehen uns die wichtigsten Features an. Vor allem hat sich viel im Design und den Möglichkeiten getan, mit denen man Fenster organisieren kann. Auch als Mac-Fans können wir dem neuen Betriebssystem einiges abgewinnen und Android Apps kommen erstmals durch den Amazon AppStore auf Windows.Deno hat eine neue Funktionalität mit Deno Deploy vorgestellt. Man kann sich das als Cloud Functions für Deno vorstellen und das Versprechen ist, dass Deno den schnellsten Deploy bereitstellen möchte und eure Anwendungen weltweit super schnell erreichbar sind. Wenn ihr Deno spannend findet, hört doch mal in Folge 73, wo wir euch einen ersten Überblick geben.Zu guter Letzt sprechen wir über eine Erweiterung der GitHub Issues – wobei man bei all den Funktionalitäten eigentlich von einem neuen Feature sprechen müsste. Es geht darum, Projektmanagment á la Trello mit den restlichen GitHub-Abläufen zu verheiraten.Schreibt uns!Schickt uns eure Themenwünsche und euer Feedback.podcast@programmier.barFolgt uns!Bleibt auf dem Laufenden über zukünftige Folgen und beteiligt euch an Community-Diskussionen.TwitterInstagramFacebookMeetup 

Na edição 14 do Compilado tivemos notícias sobre a nova especificação do ECMAScript 2021 que foi aprovada formalmente; Versão 1.53 do Rust trouxe uma mudança que os programadores já vinham pedindo há tempos; John McAfee é encontrado morto em cela na Espanha; Motor Deno Deploy chega na versão Beta 1; Brave lança mecanismo de busca que não rastreia você; Windows 11 chega ainda esse ano; e mais. Confira o Compilado #014, com as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 19/06 a 25/06! Além de trazer e comentar as notícias, abrimos espaço no Compilado para os comentários dos nossos seguidores, aproveitamos para falar sobre os vídeos que publicamos na semana no YouTube e também fazemos menções honrosas aos membros do Clube dos CDFs, nossos membros no YouTube. Breakpoint: A escolha da história é realizada via enquete no Código Fonte TV no YouTube. Nessa semana o tema foi: “Gabriel migrou um ERP cheio de gambiarras”. Hosts: Somos Gabriel Fróes e Vanessa Weber, um casal de programadores que dá as caras desde 2016 no canal Código Fonte TV no YouTube. Links:

Na edição 14 do Compilado tivemos notícias sobre a nova especificação do ECMAScript 2021 que foi aprovada formalmente; Versão 1.53 do Rust trouxe uma mudança que os programadores já vinham pedindo há tempos; John McAfee é encontrado morto em cela na Espanha; Motor Deno Deploy chega na versão Beta 1; Brave lança mecanismo de busca que não rastreia você; Windows 11 chega ainda esse ano; e mais. Confira o Compilado #014, com as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 19/06 a 25/06! Além de trazer e comentar as notícias, abrimos espaço no Compilado para os comentários dos nossos seguidores, aproveitamos para falar sobre os vídeos que publicamos na semana no YouTube e também fazemos menções honrosas aos membros do Clube dos CDFs, nossos membros no YouTube. Breakpoint: A escolha da história é realizada via enquete no Código Fonte TV no YouTube. Nessa semana o tema foi: “Gabriel migrou um ERP cheio de gambiarras”. Hosts: Somos Gabriel Fróes e Vanessa Weber, um casal de programadores que dá as caras desde 2016 no canal Código Fonte TV no YouTube. Links:

Shownotes Podcasting 2.0 for May 28th 2021 Episode 39: License to Kill Adam & Dave discuss the week's developments on podcastindex.org with Boost moments and hot namespace talk! And In Alabama, The man who closes Github Issues faster than any human being: - My Friend on the Other End -- Dave Jones! Crank those value sliders up on any of these value 4 value streaming payment apps: Podfriend Breez app CurioCaster Sphinx Chat App Podstation Browser extension Download the mp3 Preservepodcasting.com Check out the podcasting 2.0 apps and services newpodcastapps.com Support us with your Time Talent and Treasure Shownotes Dave's Possum WebLN Web assembly Closing Namespace phase 3 License / Block / Moderate Licensing tag. Go to spotify and do drm. V4V only works. License to link? Copying blog content? Anchor you get what you pay for You need some piracy MSFT example We need a PodPing on-boarding doc API from Podchaser Curiocaster Keywords

During this episode we will discuss the different integration points between Azure Boards and GitHub. We will answer the questions of: Why use Azure Boards for planning and GitHub for code? What are the benefits of using them both together and what is the Azure Boards App in GitHub? What problem does it solve? What are the open source actions for and how to use them?Jump To:[01:19] – Scenarios for using Azure Boards and GitHub together[02:32] – Why should I plan work in Azure Boards vs GitHub Issues?[04:07] – Three main integration scenarios[06:33] – Intro to Azure Boards app in GitHub[07:11] – Intro to actions for Azure Boards integration for GitHub Issues and PR's[08:44] – Step through demo of GitHub App[11:12] – Demo of actions[16:27] – Call to action Learn More:Azure Boards App in the GitHub marketplaceAzure Boards App DocumentationSync GitHub Issues with Azure BoardsSync GitHub PR's with Azure BoardsGitHub ActionsAzure DevOps YouTubeCreate a Free Azure DevOps Account

In this episode, we'll be taking a look at GitHub Issues and GitHub Discussions which recently came out at GitHub Universe. Interested? Then stick around as we find out more about both of these topics!

Adam and Jack talk about strategies for keeping up with GitHub issues and coping with customer criticism, and how life is going after the Statamic 3 launch. They also talk about the new features in Tailwind 1.8, and work through some branding problems for the new Headless UI project the Tailwind team is working on.

嗨大家好，距离半年我们又更新了。 聊了聊疫情前我们就想说的话题：远程工作。结合我们自个儿的经历敞开了闲聊，录了比较长，先更新上部分一个小时罢。 音频编辑：阿潦 音乐：何谐/李松 我们聊了 00:00 开始 00:15 Hello 00:55 我们这些年的(远程)工作经历 04:01 定义我们说的Remote 10:22 分布式团队与异步的沟通方式 12:59 远程会议的不平等 19:59 设立远程工作环境的成本 24:30 一定需要视频会议吗？ 25:13 会议的录像存档 27:54 会议文本总结 30:25 节省的通勤时间 34:10 客观原因无法远程工作的情况 35:05 产品开发以外的团队更难远程吗 38:24 利用Github Issues来记录讨论的历史 41:00 完全基于Web的工具兴起 45:20 可追溯的Git Commit Message 48:48 瘦客户端 52:15 下期见

THE NEWS FROM REDMOND Working with GitHub Issues in Visual Studio Code Visual Studio 2019 Preview Release Notes Visual Studio 2019 version 16.5 Release Notes Releasing Today! Visual Studio 2019 v16.6 & v16.7 Preview 1 Windows Package Manager Preview Introducing .NET Multi-platform App UI Blazor WebAssembly 3.2.0 now available Windows Terminal 1.0 Introducing WinUI 3 Preview 1 The Windows Subsystem for Linux BUILD 2020 Summary .NET Conf 2020 Welcome to C# 9.0 F# 5 and F# tools update Live Share, now with chat and audio support! Announcing .NET 5 Preview 4 and our journey to one .NET ASP.NET Core updates in .NET 5 Preview 4 Windows Forms Designer for .NET Core Released AROUND THE WORLD Rider 2020.1.3 and ReSharper Ultimate 2020.1.3 Bugfixes Are Here! Rider 2020.1.2 and ReSharper Ultimate 2020.1.2 Bugfixes Are Available! TeamCity 2020.1 RC is out Announcing end of support for .NET Standard 1.3 in AWS SDK for .NET Why model binding to JObject from a request doesn’t work anymore in ASP.NET Core 3.1 and what’s the alternative? Announcing Uno Platform 3.0 – Support for WinUI 3.0 Preview 1 Announcing Uno Platform 2.4 – macOS support and Windows Calculator on macOS PROJECTS OF THE WEEK CSLA CSLA .NET is a software development framework that helps you build a reusable, maintainable object-oriented business layer for your app. This framework reduces the cost of building and maintaining applications. Also, be sure and check out the Project of the Week archives! SHOUT-OUTS / PLUGS .NET Bytes on Twitter Matt Groves is: Tweeting on Twitter Live Streaming on Twitch Calvin Allen is: Tweeting on Twitter Live Streaming on Twitch

Ben is back from a productive retreat with his Tuple co-founders. It was deep concentration work that didn’t feel like a chore, but a feeling of joy. They experienced a milestone - scrapped the electron-based version of their app to work on a native functional prototype. There’s a ton more to do, but it basically works. The pieces are coming together. Derrick understands the foundation required to pretty much get anything done with a new product. He is considering a future retreat, but wondering if the benefits are worth it to go off somewhere as a solo founder. Or, would it be more productive to be just sitting at his desk at home? The most critical item on his radar and one of the biggest unknowns he continues to battle is how the mechanics of Level’s Inbox will work. If it doesn’t function well, then the whole promise of the app breaks down. Today’s Topics Include: Ben is trying to get to dog food ability - being able to pair using the app while actually working on the app Ben is using Basecamp and GitHub Issues to manage tasks that are still left to do Ben is still experiencing a steady stream of tweets, sharing, and sign ups for Tuple Derrick also has a steady stream of tweets and is up to 4,500 handle reservations Derrick is evaluating what paradigm he is mirroring when it comes to notifications and actionable to do items It can be counterintuitive but ultimately helpful to think about something so technical that it sends you back into a loop of higher level conceptual thinking Derrick’s making progress and at a decision point; trust his instincts and build something to be used, build a prototype, or build static mock-ups? Take a risk and set a date! Links and resources: Derrick Reimer Website (http://www.derrickreimer.com/) Derrick Reimer on Twitter (https://twitter.com/derrickreimer) Ben Orenstein Website (http://www.benorenstein.com/) Ben Orenstein on Twitter (https://twitter.com/r00k) Level (https://level.app/) Derrick’s Manifesto (https://level.app/manifesto) Tuple (https://tuple.app/) Codetree (https://codetree.com/) Basecamp (https://basecamp.com/) GitHub Issues (https://github.com/github/hub/issues) Drip (https://www.drip.com/)

Добрый день уважаемые слушатели. Представляем новый выпуск подкаста RWpod. В этом выпуске: Ruby If you're upgrading to Ruby 2.5, you should know about this undocumented change to CGI.escape, Rails Asset Pipeline Directory Traversal Vulnerability (CVE-2018-3760) и Demand for Ruby on Rails is Still Huge Do You Know How Hash Table Works? (Ruby Examples), Caching counters with ActiveRecord's counter caches и Breaking Up a Monolith: Kong Case Study JavaScript Electron 3.0.0-beta.1 released, V8 release v6.8, ESLint v5.0.0 released, MobX 5, Introducing A-Terrain - a cartography component for A-Frame, A-Frame - a web framework for building virtual reality experiences и We analyzed the GitHub Issues from the most popular Front-End frameworks, here's what we found Sunsetting React Native, Introducing Teleport: Over-the-air hot reloading & debugging for PWA's и DevTube - The best developer videos in one place

Ellen Chisa started her career in Program Management at Microsoft then moved to Kickstarter as a Product Manager where she was the fiftieth employee. In 2015 she joined Lola Travel as the first employee as the VP of Product. Lola is Paul English’s second travel company, and connects travelers with in-house personal travel consultants who help you plan, book, and manage your travel, allowing you to have a more personalized and rewarding trip.      In this episode, Ellen talks about:   The differences between designing product for web and mobile   How to break into a product position   Why Lola uses real travel consultants instead of bots   Misconceptions about the PM role   What to think about before getting your MBA   Links from today’s episode:   Perry Chen   Blade   Angel (Formerly GoButler)   Fin   Barney Harford   GetHuman   Stripe   Wistia   The Jar to Quantify Creativity   Rainbow Pencils   Want to be a PM? Do a project   I’m angry because I’m afraid   Day One   Trello   Github Issues   Zenhub   The Skimm   The Sun in Your Eyes   Drafted   Ellen’s blog   If you liked this episode:   Follow the podcast on Twitter   Subscribe on iTunes or your podcast app and write a review   Get in touch with feedback, ideas, or to say hi: nic {AT} startupbostonpodcast [DOT] com   Music by: Broke For Free

What do we look for when reviewing job applications, interviewing candidates, and pairing with prospective co-workers? thoughtbot Podcast Listener Survey Yarn: A new package manager for JavaScript About NPM Jobs at thoughtbot LAMP Stack recruitment in GitHub Issues The fruits of Derek's FactoryGirl pairing session The Infield Fly Rule

Adam and Jerod talk with Ryan built about HuBoard - a project management solution for teams and organizations using GitHub. He gives us an inside look at how he created HuBoard, how he made the transition from free service to paid users, the technical challenges of getting set up to handle enterprise, and more.

Adam and Jerod talk with Ryan built about HuBoard - a project management solution for teams and organizations using GitHub. He gives us an inside look at how he created HuBoard, how he made the transition from free service to paid users, the technical challenges of getting set up to handle enterprise, and more.

Спонсор выпуска Hoheybadger - сервис для мониторинга исключений, аптайма и производительности руби проектов. Новости Книга от Линды Лукас на Кикстартере RailsConf 2014 Thoughtbot'ы рассказывают чем тестируют приложения Новые матчеры в Rspec 3 Классическая экосистема приложения Сканнер кода middleware, отслеживающий неиспользуемый код Анонс нового фрейморка Lotus Как в руби устроено умножение Применение принципов функционального программирования в руби-коде Архиватор миграций Что ждать от CoffeeScript 1.7 Фреймворк локализации от Mozilla Дебаг единорога в продакшине Клевый клиент для Github Issues и еще один Антон Давыдов о глобальных переменных в Руби Михаил Клишин Профиль на Github Твиттер Ресурсы от Миши Клишина ClojureWerkz Java Concurrency in Practice Книги по распределенным системам Про pivotal-rabbitmq