Podcasts about MCP

In this episode we discuss how to take advantage of Redis AI and MCP features in AWS. Reference : https://builder.aws.com/content/2iBDCZGYnl32D7VclPJGxs9Pofs/leveraging-redis-services-on-aws

Wes and Scott talk about how developers can expose powerful tools to AI using the Model Context Protocol. They discuss tool calling, remote MCP specs, authentication, and real-world use cases that make AI more capable through smarter integrations. Show Notes 00:00 Welcome to Syntax! 01:36 What is MCP? 07:23 MCP tools 11:33 MCP resources 13:43 Saving reusable prompts 16:18 Creating and validating MCP tools 18:31 Brought to you by Sentry.io 18:31 Tool calling vs MCP servers 21:28 Remote vs local MCP servers mcp-remote 26:24 Useful MCP servers mcp-server-cloudflare use-mcp awesome-mcp-servers 32:48 Sick Picks + Shameless Plugs Sick Picks Scott: Mario Kart World Wes: anyloop Kid's Watch Shameless Plugs Syntax YouTube Channel 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

Dans cet épisode, Emmanuel et Antonio discutent de divers sujets liés au développement: Applets (et oui), app iOS développées sous Linux, le protocole A2A, l'accessibilité, les assistants de code AI en ligne de commande (vous n'y échapperez pas)… Mais aussi des approches méthodologiques et architecturales comme l'architecture hexagonale, les tech radars, l'expert généraliste et bien d'autres choses encore. Enregistré le 11 juillet 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-328.mp3 ou en vidéo sur YouTube. News Langages Les Applets Java c'est terminé pour de bon… enfin, bientot: https://openjdk.org/jeps/504 Les navigateurs web ne supportent plus les applets. L'API Applet et l'outil appletviewer ont été dépréciés dans JDK 9 (2017). L'outil appletviewer a été supprimé dans JDK 11 (2018). Depuis, impossible d'exécuter des applets avec le JDK. L'API Applet a été marquée pour suppression dans JDK 17 (2021). Le Security Manager, essentiel pour exécuter des applets de façon sécurisée, a été désactivé définitivement dans JDK 24 (2025). Librairies Quarkus 3.24 avec la notion d'extensions qui peuvent fournir des capacités à des assistants https://quarkus.io/blog/quarkus-3-24-released/ les assistants typiquement IA, ont accès a des capacités des extensions Par exemple générer un client à partir d'openAPI Offrir un accès à la,base de données en dev via le schéma. L'intégration d'Hibernate 7 dans Quarkus https://quarkus.io/blog/hibernate7-on-quarkus/ Jakarta data api restriction nouvelle Injection du SchemaManager Sortie de Micronaut 4.9 https://micronaut.io/2025/06/30/micronaut-framework-4-9-0-released/ Core : Mise à jour vers Netty 4.2.2 (attention, peut affecter les perfs). Nouveau mode expérimental “Event loop Carrier” pour exécuter des virtual threads sur l'event loop Netty. Nouvelle annotation @ClassImport pour traiter des classes déjà compilées. Arrivée des @Mixin (Java uniquement) pour modifier les métadonnées d'annotations Micronaut sans altérer les classes originales. HTTP/3 : Changement de dépendance pour le support expérimental. Graceful Shutdown : Nouvelle API pour un arrêt en douceur des applications. Cache Control : API fluente pour construire facilement l'en-tête HTTP Cache-Control. KSP 2 : Support de KSP 2 (à partir de 2.0.2) et testé avec Kotlin 2. Jakarta Data : Implémentation de la spécification Jakarta Data 1.0. gRPC : Support du JSON pour envoyer des messages sérialisés via un POST HTTP. ProjectGen : Nouveau module expérimental pour générer des projets JVM (Gradle ou Maven) via une API. Un super article sur experimenter avec les event loops reactives dans les virtualthreads https://micronaut.io/2025/06/30/transitioning-to-virtual-threads-using-the-micronaut-loom-carrier/ Malheureusement cela demander le hacker le JDK C'est un article de micronaut mais le travail a ete collaboratif avec les equipes de Red Hat OpenJDK, Red Hat perf et de Quarkus et Vert.x Pour les curieux c'est un bon article Ubuntu offre un outil de creation de container pour Spring notamment https://canonical.com/blog/spring-boot-containers-made-easy creer des images OCI pour les applications Spring Boot basées sur Ubuntu base images bien sur utilise jlink pour reduire la taille pas sur de voir le gros avantage vs d'autres solutions plus portables d'ailleurs Canonical entre dans la danse des builds d'openjdk Le SDK Java de A2A contribué par Red Hat est sorti https://quarkus.io/blog/a2a-project-launches-java-sdk/ A2A est un protocole initié par Google et donne à la fondation Linux Il permet à des agents de se décrire et d'interagir entre eux Agent cards, skills, tâche, contexte A2A complémente MCP Red hat a implémenté le SDK Java avec le conseil des équipes Google En quelques annotations et classes on a un agent card, un client A2A et un serveur avec l'échange de messages via le protocole A2A Comment configurer mockito sans warning après java 21 https://rieckpil.de/how-to-configure-mockito-agent-for-java-21-without-warning/ les agents chargés dynamiquement sont déconseillés et seront interdis bientôt Un des usages est mockito via bytebuddy L'avantage est que la,configuration était transparente Mais bon sécurité oblige c'est fini. Donc l'article décrit comment configurer maven gradle pour mettre l'agent au démarrage des tests Et aussi comment configurer cela dans IntelliJ idea. Moins simple malheureusement Web Des raisons “égoïstes” de rendre les UIs plus accessibles https://nolanlawson.com/2025/06/16/selfish-reasons-for-building-accessible-uis/ Raisons égoïstes : Des avantages personnels pour les développeurs de créer des interfaces utilisateurs (UI) accessibles, au-delà des arguments moraux. Débogage facilité : Une interface accessible, avec une structure sémantique claire, est plus facile à déboguer qu'un code désordonné (la « soupe de div »). Noms standardisés : L'accessibilité fournit un vocabulaire standard (par exemple, les directives WAI-ARIA) pour nommer les composants d'interface, ce qui aide à la clarté et à la structuration du code. Tests simplifiés : Il est plus simple d'écrire des tests automatisés pour des éléments d'interface accessibles, car ils peuvent être ciblés de manière plus fiable et sémantique. Après 20 ans de stagnation, la spécification du format d'image PNG évolue enfin ! https://www.programmax.net/articles/png-is-back/ Objectif : Maintenir la pertinence et la compétitivité du format. Recommandation : Soutenu par des institutions comme la Bibliothèque du Congrès américain. Nouveautés Clés :Prise en charge du HDR (High Dynamic Range) pour une plus grande gamme de couleurs. Reconnaissance officielle des PNG animés (APNG). Support des métadonnées Exif (copyright, géolocalisation, etc.). Support Actuel : Déjà intégré dans Chrome, Safari, Firefox, iOS, macOS et Photoshop. Futur :Prochaine édition : focus sur l'interopérabilité entre HDR et SDR. Édition suivante : améliorations de la compression. Avec le projet open source Xtool, on peut maintenant construire des applications iOS sur Linux ou Windows, sans avoir besoin d'avoir obligatoirement un Mac https://xtool.sh/tutorials/xtool/ Un tutoriel très bien fait explique comment faire : Création d'un nouveau projet via la commande xtool new. Génération d'un package Swift avec des fichiers clés comme Package.swift et xtool.yml. Build et exécution de l'app sur un appareil iOS avec xtool dev. Connexion de l'appareil en USB, gestion du jumelage et du Mode Développeur. xtool gère automatiquement les certificats, profils de provisionnement et la signature de l'app. Modification du code de l'interface utilisateur (ex: ContentView.swift). Reconstruction et réinstallation rapide de l'app mise à jour avec xtool dev. xtool est basé sur VSCode sur la partie IDE Data et Intelligence Artificielle Nouvelle edition du best seller mondial “Understanding LangChain4j” : https://www.linkedin.com/posts/agoncal_langchain4j-java-ai-activity-7342825482830200833-rtw8/ Mise a jour des APIs (de LC4j 0.35 a 1.1.0) Nouveaux Chapitres sur MCP / Easy RAG / JSon Response Nouveaux modeles (GitHub Model, DeepSeek, Foundry Local) Mise a jour des modeles existants (GPT-4.1, Claude 3.7…) Google donne A2A a la Foundation Linux https://developers.googleblog.com/en/google-cloud-donates-a2a-to-linux-foundation/ Annonce du projet Agent2Agent (A2A) : Lors du sommet Open Source Summit North America, la Linux Foundation a annoncé la création du projet Agent2Agent, en partenariat avec Google, AWS, Microsoft, Cisco, Salesforce, SAP et ServiceNow. Objectif du protocole A2A : Ce protocole vise à établir une norme ouverte pour permettre aux agents d'intelligence artificielle (IA) de communiquer, collaborer et coordonner des tâches complexes entre eux, indépendamment de leur fournisseur. Transfert de Google à la communauté open source : Google a transféré la spécification du protocole A2A, les SDK associés et les outils de développement à la Linux Foundation pour garantir une gouvernance neutre et communautaire. Soutien de l'industrie : Plus de 100 entreprises soutiennent déjà le protocole. AWS et Cisco sont les derniers à l'avoir validé. Chaque entreprise partenaire a souligné l'importance de l'interopérabilité et de la collaboration ouverte pour l'avenir de l'IA. Objectifs de la fondation A2A : Établir une norme universelle pour l'interopérabilité des agents IA. Favoriser un écosystème mondial de développeurs et d'innovateurs. Garantir une gouvernance neutre et ouverte. Accélérer l'innovation sécurisée et collaborative. parler de la spec et surement dire qu'on aura l'occasion d'y revenir Gemini CLI :https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/ Agent IA dans le terminal : Gemini CLI permet d'utiliser l'IA Gemini directement depuis le terminal. Gratuit avec compte Google : Accès à Gemini 2.5 Pro avec des limites généreuses. Fonctionnalités puissantes : Génère du code, exécute des commandes, automatise des tâches. Open source : Personnalisable et extensible par la communauté. Complément de Code Assist : Fonctionne aussi avec les IDE comme VS Code. Au lieu de blocker les IAs sur vos sites vous pouvez peut-être les guider avec les fichiers LLMs.txt https://llmstxt.org/ Exemples du projet angular: llms.txt un simple index avec des liens : https://angular.dev/llms.txt lllms-full.txt une version bien plus détaillée : https://angular.dev/llms-full.txt Outillage Les commits dans Git sont immuables, mais saviez vous que vous pouviez rajouter / mettre à jour des “notes” sur les commits ? https://tylercipriani.com/blog/2022/11/19/git-notes-gits-coolest-most-unloved-feature/ Fonctionnalité méconnue : git notes est une fonctionnalité puissante mais peu utilisée de Git. Ajout de métadonnées : Permet d'attacher des informations à des commits existants sans en modifier le hash. Cas d'usage : Idéal pour ajouter des données issues de systèmes automatisés (builds, tickets, etc.). Revue de code distribuée : Des outils comme git-appraise ont été construits sur git notes pour permettre une revue de code entièrement distribuée, indépendante des forges (GitHub, GitLab). Peu populaire : Son interface complexe et le manque de support des plateformes de forge ont limité son adoption (GitHub n'affiche même pas/plus les notes). Indépendance des forges : git notes offre une voie vers une plus grande indépendance vis-à-vis des plateformes centralisées, en distribuant l'historique du projet avec le code lui-même. Un aperçu dur Spring Boot debugger dans IntelliJ idea ultimate https://blog.jetbrains.com/idea/2025/06/demystifying-spring-boot-with-spring-debugger/ montre cet outil qui donne du contexte spécifique à Spring comme les beans non activés, ceux mockés, la valeur des configs, l'état des transactions Il permet de visualiser tous les beans Spring directement dans la vue projet, avec les beans non instanciés grisés et les beans mockés marqués en orange pour les tests Il résout le problème de résolution des propriétés en affichant la valeur effective en temps réel dans les fichiers properties et yaml, avec la source exacte des valeurs surchargées Il affiche des indicateurs visuels pour les méthodes exécutées dans des transactions actives, avec les détails complets de la transaction et une hiérarchie visuelle pour les transactions imbriquées Il détecte automatiquement toutes les connexions DataSource actives et les intègre avec la fenêtre d'outils Database d'IntelliJ IDEA pour l'inspection Il permet l'auto-complétion et l'invocation de tous les beans chargés dans l'évaluateur d'expression, fonctionnant comme un REPL pour le contexte Spring Il fonctionne sans agent runtime supplémentaire en utilisant des breakpoints non-suspendus dans les bibliothèques Spring Boot pour analyser les données localement Une liste communautaire sur les assistants IA pour le code, lancée par Lize Raes https://aitoolcomparator.com/ tableau comparatif qui permet de voir les différentes fonctionnalités supportées par ces outils Architecture Un article sur l'architecture hexagonale en Java https://foojay.io/today/clean-and-modular-java-a-hexagonal-architecture-approach/ article introductif mais avec exemple sur l'architecture hexagonale entre le domaine, l'application et l‘infrastructure Le domain est sans dépendance L‘appli spécifique à l'application mais sans dépendance technique explique le flow L'infrastructure aura les dépendances à vos frameworks spring, Quarkus Micronaut, Kafka etc Je suis naturellement pas fan de l'architecture hexagonale en terme de volume de code vs le gain surtout en microservices mais c'est toujours intéressant de se challenger et de regarder le bénéfice coût. Gardez un œil sur les technologies avec les tech radar https://www.sfeir.dev/cloud/tech-radar-gardez-un-oeil-sur-le-paysage-technologique/ Le Tech Radar est crucial pour la veille technologique continue et la prise de décision éclairée. Il catégorise les technologies en Adopt, Trial, Assess, Hold, selon leur maturité et pertinence. Il est recommandé de créer son propre Tech Radar pour l'adapter aux besoins spécifiques, en s'inspirant des Radars publics. Utilisez des outils de découverte (Alternativeto), de tendance (Google Trends), de gestion d'obsolescence (End-of-life.date) et d'apprentissage (roadmap.sh). Restez informé via les blogs, podcasts, newsletters (TLDR), et les réseaux sociaux/communautés (X, Slack). L'objectif est de rester compétitif et de faire des choix technologiques stratégiques. Attention à ne pas sous-estimer son coût de maintenance Méthodologies Le concept d'expert generaliste https://martinfowler.com/articles/expert-generalist.html L'industrie pousse vers une spécialisation étroite, mais les collègues les plus efficaces excellent dans plusieurs domaines à la fois Un développeur Python expérimenté peut rapidement devenir productif dans une équipe Java grâce aux concepts fondamentaux partagés L'expertise réelle comporte deux aspects : la profondeur dans un domaine et la capacité d'apprendre rapidement Les Expert Generalists développent une maîtrise durable au niveau des principes fondamentaux plutôt que des outils spécifiques La curiosité est essentielle : ils explorent les nouvelles technologies et s'assurent de comprendre les réponses au lieu de copier-coller du code La collaboration est vitale car ils savent qu'ils ne peuvent pas tout maîtriser et travaillent efficacement avec des spécialistes L'humilité les pousse à d'abord comprendre pourquoi les choses fonctionnent d'une certaine manière avant de les remettre en question Le focus client canalise leur curiosité vers ce qui aide réellement les utilisateurs à exceller dans leur travail L'industrie doit traiter “Expert Generalist” comme une compétence de première classe à nommer, évaluer et former ca me rappelle le technical staff Un article sur les métriques métier et leurs valeurs https://blog.ippon.fr/2025/07/02/monitoring-metier-comment-va-vraiment-ton-service-2/ un article de rappel sur la valeur du monitoring métier et ses valeurs Le monitoring technique traditionnel (CPU, serveurs, API) ne garantit pas que le service fonctionne correctement pour l'utilisateur final. Le monitoring métier complète le monitoring technique en se concentrant sur l'expérience réelle des utilisateurs plutôt que sur les composants isolés. Il surveille des parcours critiques concrets comme “un client peut-il finaliser sa commande ?” au lieu d'indicateurs abstraits. Les métriques métier sont directement actionnables : taux de succès, délais moyens et volumes d'erreurs permettent de prioriser les actions. C'est un outil de pilotage stratégique qui améliore la réactivité, la priorisation et le dialogue entre équipes techniques et métier. La mise en place suit 5 étapes : dashboard technique fiable, identification des parcours critiques, traduction en indicateurs, centralisation et suivi dans la durée. Une Definition of Done doit formaliser des critères objectifs avant d'instrumenter tout parcours métier. Les indicateurs mesurables incluent les points de passage réussis/échoués, les temps entre actions et le respect des règles métier. Les dashboards doivent être intégrés dans les rituels quotidiens avec un système d'alertes temps réel compréhensibles. Le dispositif doit évoluer continuellement avec les transformations produit en questionnant chaque incident pour améliorer la détection. La difficulté c'est effectivement l'évolution métier par exemple peu de commandes la nuit etc ça fait partie de la boîte à outils SRE Sécurité Toujours à la recherche du S de Sécurité dans les MCP https://www.darkreading.com/cloud-security/hundreds-mcp-servers-ai-models-abuse-rce analyse des serveurs mcp ouverts et accessibles beaucoup ne font pas de sanity check des parametres si vous les utilisez dans votre appel genAI vous vous exposer ils ne sont pas mauvais fondamentalement mais n'ont pas encore de standardisation de securite si usage local prefferer stdio ou restreindre SSE à 127.0.0.1 Loi, société et organisation Nicolas Martignole, le même qui a créé le logo des Cast Codeurs, s'interroge sur les voies possibles des développeurs face à l'impact de l'IA sur notre métier https://touilleur-express.fr/2025/06/23/ni-manager-ni-contributeur-individuel/ Évolution des carrières de développeur : L'IA transforme les parcours traditionnels (manager ou expert technique). Chef d'Orchestre d'IA : Ancien manager qui pilote des IA, définit les architectures et valide le code généré. Artisan Augmenté : Développeur utilisant l'IA comme un outil pour coder plus vite et résoudre des problèmes complexes. Philosophe du Code : Un nouveau rôle centré sur le “pourquoi” du code, la conceptualisation de systèmes et l'éthique de l'IA. Charge cognitive de validation : Nouvelle charge mentale créée par la nécessité de vérifier le travail des IA. Réflexion sur l'impact : L'article invite à choisir son impact : orchestrer, créer ou guider. Entraîner les IAs sur des livres protégés (copyright) est acceptable (fair use) mais les stocker ne l'est pas https://www.reuters.com/legal/litigation/anthropic-wins-key-ruling-ai-authors-copyright-lawsuit-2025-06-24/ Victoire pour Anthropic (jusqu'au prochain procès): L'entreprise a obtenu gain de cause dans un procès très suivi concernant l'entraînement de son IA, Claude, avec des œuvres protégées par le droit d'auteur. “Fair Use” en force : Le juge a estimé que l'utilisation des livres pour entraîner l'IA relevait du “fair use” (usage équitable) car il s'agit d'une transformation du contenu, pas d'une simple reproduction. Nuance importante : Cependant, le stockage de ces œuvres dans une “bibliothèque centrale” sans autorisation a été jugé illégal, ce qui souligne la complexité de la gestion des données pour les modèles d'IA. Luc Julia, son audition au sénat https://videos.senat.fr/video.5486945_685259f55eac4.ia–audition-de-luc-julia-concepteur-de-siri On aime ou pas on aide pas Luc Julia et sa vision de l'IA . C'est un eversion encore plus longue mais dans le même thème que sa keynote à Devoxx France 2025 ( https://www.youtube.com/watch?v=JdxjGZBtp_k ) Nature et limites de l'IA : Luc Julia a insisté sur le fait que l'intelligence artificielle est une “évolution” plutôt qu'une “révolution”. Il a rappelé qu'elle repose sur des mathématiques et n'est pas “magique”. Il a également alerté sur le manque de fiabilité des informations fournies par les IA génératives comme ChatGPT, soulignant qu'« on ne peut pas leur faire confiance » car elles peuvent se tromper et que leur pertinence diminue avec le temps. Régulation de l'IA : Il a plaidé pour une régulation “intelligente et éclairée”, qui devrait se faire a posteriori afin de ne pas freiner l'innovation. Selon lui, cette régulation doit être basée sur les faits et non sur une analyse des risques a priori. Place de la France : Luc Julia a affirmé que la France possédait des chercheurs de très haut niveau et faisait partie des meilleurs mondiaux dans le domaine de l'IA. Il a cependant soulevé le problème du financement de la recherche et de l'innovation en France. IA et Société : L'audition a traité des impacts de l'IA sur la vie privée, le monde du travail et l'éducation. Luc Julia a souligné l'importance de développer l'esprit critique, notamment chez les jeunes, pour apprendre à vérifier les informations générées par les IA. Applications concrètes et futures : Le cas de la voiture autonome a été discuté, Luc Julia expliquant les différents niveaux d'autonomie et les défis restants. Il a également affirmé que l'intelligence artificielle générale (AGI), une IA qui dépasserait l'homme dans tous les domaines, est “impossible” avec les technologies actuelles. Rubrique débutant Les weakreferences et le finalize https://dzone.com/articles/advanced-java-garbage-collection-concepts un petit rappel utile sur les pièges de la méthode finalize qui peut ne jamais être invoquée Les risques de bug si finalize ne fini jamais Finalize rend le travail du garbage collector beaucoup plus complexe et inefficace Weak references sont utiles mais leur libération n'est pas contrôlable. Donc à ne pas abuser. Il y a aussi les soft et phantom references mais les usages ne sont assez subtils et complexe en fonction du GC. Le sériel va traiter les weak avant les soft, parallel non Le g1 ça dépend de la région Z1 ça dépend car le traitement est asynchrone Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 14-19 juillet 2025 : DebConf25 - Brest (France) 5 septembre 2025 : JUG Summer Camp 2025 - La Rochelle (France) 12 septembre 2025 : Agile Pays Basque 2025 - Bidart (France) 18-19 septembre 2025 : API Platform Conference - Lille (France) & Online 22-24 septembre 2025 : Kernel Recipes - Paris (France) 23 septembre 2025 : OWASP AppSec France 2025 - Paris (France) 25-26 septembre 2025 : Paris Web 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) 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) 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) 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) 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) 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/

Naoya Ito さんをゲストに迎えて、Claude Code, AI, K-POP などについて話しました。 Show Notes Rebuild: 405: MCP for Reporting to HR (naoya) Amazon Bedrock – AWS Claude Code Shopify CEO: Prove AI can't do jobs before asking for more headcount Claude Code GitHub Actions - Anthropic Bernie Sanders: It's time for a 4-day work week Windsurf's CEO is going to Google LLM: A CLI utility and Python library for interacting with Large Language Models llm Discord bot カレンダーとTodoを自然言語で適当にかけてよい 関数型まつり Haskell でアルゴリズムを抽象化する / 関数型言語で競技プログラミング TWICE "THIS IS FOR" aespa 에스파 'Dirty Work' IVE - After LIKE / THE FIRST TAKE LE SSERAFIM (르세라핌) 'DIFFERENT' OFFICIAL MV aespa - 2024 aespa LIVE TOUR – SYNK : PARALLEL LINE – in TOKYO DOME WE❤NJ MOHA JP【モハブログ】 CANDY TUNE「倍倍FIGHT!」【海外の反応】

In this episode of Detection at Scale, Jack speaks with Erik Bloch, VP of Security, Illumio, about why most security operations teams aren't ready for AI tools and what fundamental processes must be in place first. Erik challenges the industry's obsession with new technologies, sharing stories from his experience transforming underperforming security teams at major companies like Cisco, Salesforce, and Atlassian.  His conversation with Jack explores how to measure what actually matters in security operations, from team capacity utilization to business outcome dispositions, and why proper ticketing systems and actionable metrics are prerequisites for any advanced tooling to be effective. Topics discussed: The importance of establishing fundamental processes like ticketing systems and metrics before implementing AI tools in security operations. How to measure team capacity utilization and resource allocation to identify when security operations teams are operating beyond sustainable levels. Why traditional security metrics like mean time to detect are often vanity metrics that don't provide actionable business intelligence. The critical need for security leaders to communicate in business language with concrete data rather than anecdotal risk assessments. How managed service providers will likely be the first to successfully adopt AI tools due to their standardized processes. The challenge of proving AI tool effectiveness when most organizations lack baseline metrics to measure improvement against established benchmarks. Why security teams gravitate toward building custom tools and how this impacts their approach to adopting commercial AI solutions. The role of MCP in enabling security teams to create their own agents and integrate multiple tools. How AI should focus on eliminating routine tasks like phishing email analysis rather than trying to catch advanced persistent threats. The framework for implementing AI tools by starting with business outcomes, defining metrics, identifying capabilities, and then inserting automation.  Listen to more episodes: Apple  Spotify  YouTube Website

What if your intern had a better executive assistant than your CEO? In this episode of TNW, Aydin sits down with Nick Sonnenberg—Wall Street veteran, bestselling author, and founder of Leverage—to explore how AI agents are radically transforming how work gets done. Nick demos a real AI-powered assistant that can handle email, prep meeting briefs, and even outperform human teammates. You'll hear how he structures agent orchestration, optimizes prompts as IP, and envisions a future where everyone at every level has a digital assistant.What You'll Learn:- Why every employee (not just execs) should have their own AI assistant- How AI agents can be “managed” like employees—with hierarchy and QA- The role of MCP (Model Context Protocol) in unlocking personalized, high-context automation- Why context is king in building truly useful AI workflows- Why prompt libraries should be treated like company IPTimestamps:00:00 – Imagine if interns had better EAs than execs01:00 – Nick's background: From high-frequency trading to AI consulting02:20 – The origin of Leverage and the obsession with efficiency03:10 – Inbox Zero, RAD framework, and AI-powered email agents04:50 – What is MCP and why it matters06:20 – The CPR framework: Communicate, Plan, Resource08:30 – Orchestrator agents and agent 11:00 – QA as the new job for every role12:00 – Why execs are adopting AI faster than junior employees13:40 – The “Sniper Agent” and building executive briefs16:00 – Personalized, context-rich email drafting20:00 – Prompt optimization strategy as a business asset22:30 – Real-time battle card generation and agent chaining23:30 – Custom summaries using frameworks, not just transcripts24:00 – Behind the scenes: building and deploying agentsTools & Technologies Mentioned:Claude – Anthropic's AI model, used here with MCP and custom agentsMCP (Model Context Protocol) – Allows secure access to private data and agent orchestration within AI platformsAsana – Project management tool integrated with agentsZapier / NADN / Crew AI – Automation platforms for building AI workflowsPerplexity – Used to scan public web/news as part of the AI brief generationCoda / Notion – Popular tools for knowledge capture, now evolving into AI-integrated workflowsHubSpot – CRM used to integrate and personalize AI-generated contentFellow – AI meeting intelligence tool for smarter call summariesNick's website: https://www.getleverage.ai/Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

In this discussion, Cristina Flaschen, CEO of Pandium, speaks with Heather Flanagan, Principal at Spherical Cow Consulting, and Shon Urbas, CTO of Pandium, about the complex realities of building integrations when identity, compliance, and data governance are on the line.Heather's Background and Identity-Centric LensHeather Flanagan draws on years of experience in identity standards, advising governments, nonprofits, and tech companies on secure identity flows. At Spherical Cow Consulting, she emphasizes that integrations are not just about API connections. They must preserve identity and policy context across systems. This lens shapes how she evaluates long-term integration quality.Identity is the DataIn many cases, identity itself is the data being transferred. Systems are not just passing files. They are transmitting roles, permissions, and group memberships. A failure in handling identity correctly can result in unauthorized access or users being locked out. This is especially critical in sectors like government and education.The Hidden Work Behind “It Just Works”Heather and Shon note that behind every seamless integration is complex logic. Connecting identity systems like SCIM, SAML, and OpenID Connect requires shared understanding across platforms. A major challenge is the assumption that systems interpret identity attributes the same way.Integration as InfrastructureShon sees integrations as core infrastructure, not just product features. At Pandium, his team treats them as reusable, composable flows. Even with modern tools, reliable integrations depend on clear contracts around data formats, identity handling, and error recovery.MCP: Open Source, Not a StandardHeather and Shon discuss the growing hype around MCP, the Model Context Protocol, often mislabeled as a standard. Heather explains that MCP is an open source project from Anthropic, not a true standard, since it lacks formal security reviews, governance, and cross-industry consensus. Shon notes that while it may help drive adoption of existing protocols like OAuth 2, it adds little technical innovation and risks moving too fast without proper safeguards.When Identity Meets GovernanceHeather stresses that integration design must align with governance requirements. In regulated environments, even passing a field like email may require approval. Developers must understand what data can be shared and what must stay controlled.Building Trust Into the StackTrust requires more than encryption. It depends on visibility into what moved, when, and why. Heather advocates for logging and traceability as essential for debugging and for building confidence in identity-driven systems.For more insights on integrations, identity, and APIs, visit www.pandium.com.Read Heather's blog: https://sphericalcowconsulting.com/Heather's book recommendation: Clockspeed: Winning Industry Control in the Age of Temporary Advantage

Ahora Claude AI puede crear y editar diseños en Canva desde chats de inteligencia artificial Por Félix Riaño @LocutorCo Claude, el asistente de inteligencia artificial de Anthropic, ahora se integra con Canva y otras plataformas como Google Drive, Slack y Notion. Esta conexión permite automatizar tareas sin necesidad de escribir código, gracias al protocolo MCP. ¿Diseñar sin abrir Canva? Ahora es posible con Claude AI. La integración entre Anthropic y Canva permite crear, editar y automatizar diseños desde un simple chat. Esta función está disponible para quienes tengan planes pagos en ambas plataformas. No se trata de una simple novedad estética: es un paso hacia la automatización creativa total. Claude también puede conectarse con Stripe para leer reportes de pagos, con Notion para generar hojas de ruta de proyectos y con Slack para revisar conversaciones. Pero, ¿esto va a beneficiar a todos los usuarios por igual, o solo a quienes pagan la suscripción premium?  Diseñar con Claude suena mágico… pero no es gratis.  Desde hoy, cualquier persona con un plan pago en Claude y en Canva va a poder crear diseños gráficos con instrucciones en lenguaje natural. No es necesario cambiar de pestaña, abrir plantillas ni saber usar herramientas de diseño. Basta con escribirle a Claude algo como: “Haz una historia de Instagram con el resumen de ventas de julio”, y el asistente va a usar Canva para armarlo. La conexión entre ambas plataformas funciona gracias al MCP, el Protocolo de Contexto de Modelo, una especie de ‘puerto universal' para que los asistentes de IA interactúen directamente con tus aplicaciones sin explicaciones técnicas. El objetivo es que Claude se comporte como un asistente real que entiende tus herramientas, archivos y objetivos sin que tengas que copiar y pegar nada.    Esta integración entre Claude y Canva es potente, pero también plantea muchas preguntas. Para empezar, solo está disponible si tienes una cuenta paga en Claude, que cuesta 17 dólares al mes, y un plan de Canva Pro, que vale 15 dólares mensuales. Y claro, esto no es exclusivo: Claude también se conecta con Notion, Stripe, Google Drive, Slack, Prisma, Figma, Socket y más. ¿El resultado? Una especie de escritorio invisible, donde todo ocurre por instrucciones de voz o texto. Aunque puede parecer una maravilla de productividad, también significa que la IA puede acceder a tus archivos, proyectos y hasta a tus pagos, siempre que tú lo autorices. ¿Pero hasta dónde vamos a delegar el control de nuestras herramientas?  Anthropic ha lanzado un directorio interactivo de conectores, accesible desde la app web o de escritorio de Claude. Allí, cualquier usuario va a poder explorar qué aplicaciones están disponibles para conectar, activar la integración con un clic, y empezar a trabajar con Claude como si fuera parte de su equipo. Por ejemplo, los usuarios pueden crear un diseño en Canva desde un brief escrito en el chat, generar publicaciones automáticas para redes sociales o convertir un reporte de Stripe en una infografía. Este paso convierte a Claude en el primer asistente de IA capaz de manejar tareas creativas directamente dentro de Canva, algo que ni ChatGPT ni Gemini han conseguido hasta ahora. El sistema funciona en navegadores y también en el escritorio, lo que abre puertas para automatizar acciones locales en tu computador.   MCP, el Protocolo de Contexto de Modelo, es la clave detrás de todo esto. Anthropic lo presentó en noviembre de 2024 como una forma de estandarizar cómo los modelos de lenguaje acceden a otras aplicaciones. Es como el USB-C de la inteligencia artificial: una vez conectada la app, la IA puede acceder de forma segura a tus datos, pero solo a lo que tú autorizas. Esto resuelve uno de los grandes problemas de la IA: el contexto. Hasta ahora, pedirle algo a un asistente implicaba explicar todo desde cero. Ahora, Claude puede ver lo mismo que tú y actuar con base en eso. Y no se trata solo de Canva: otras empresas como Wiley y Panopto ya lo están usando para integrar tareas editoriales y de contenido. En lugar de reemplazar a las personas, la promesa es que Claude se convierta en un colaborador útil, pero con acceso limitado y controlado.—  Claude ahora puede usar Canva y otras herramientas como si fueran extensiones de su chat. ¿Es el futuro de la productividad o un privilegio para suscriptores premium? Cuéntamelo tú. Y no olvides seguir el pódcast Flash Diario en Spotify. Claude ya diseña en Canva desde un chat. Pero solo si pagas los dos servicios. ¿Vale la pena?  

Just about every big tech company made splashes in AI this week.↳ Google acqui-hired a company that OpenAI failed to straight up acquire↳Microsoft is investing $4 billion into AI training↳ OpenAI is going after the AI browser space↳ and Meta reportedly spent more than $200 million on one employeeSheeeeesh. It's been a whirlwind. Don't get left behind. We'll help you be the smartest person in AI at your company.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI's AI Browsers vs. Google ChromePerplexity's Comet Browser Launch StrategyXAI's Controversial Grok4 Alignment IssuesTeacher Union's AI Training PartnershipMicrosoft Elevate AI Training InitiativeNVIDIA's $4 Trillion Market Cap MilestoneGoogle Acqui-hires Windsurf for DeepMindMeta's $200M Apple AI Talent AcquisitionTimestamps:00:00 "Everyday AI: Weekly News Recap"05:36 Perplexity's Comet: Agentic Browser Shift06:49 AI-Powered Browsing with Perplexity's Comet10:44 "Grok 4: Aligns with Musk's Views"15:37 AI Workshops for Teachers Nationwide18:32 Microsoft's Elevate Program: AI Access & Trust19:51 AI Strategy and Training Partners23:13 Google Hires Wind Surf Executives29:04 AI Updates: Claude's MCP and Google Gemini31:36 AI Developments: Browsers, Training, Market MovesKeywords:Google acquihire, Windsurf, OpenAI browser, Perplexity, agentic browsers, Meta superintelligence, AI news, Google Chrome dominance, ChatGPT users, Chromium, computer vision, AI agents, reservation booking, AI services, market dominance, browser wars, anthropic, Claude, Perplexity's Comet, AI powered web, conversational interface, AI assistant, natural language, OpenAI's GPT, anthropic claw, Grok four, XAI, Elon Musk AI, AI benchmarks, content moderation, Grok controversy, AI alignment, TechCrunch, contentious questions, AI partnerships, educational AI, American Federation of Teachers, Microsoft Copilot, Microsoft funding, ethical AI, Elevate Academy, NVIDIA market cap, AI chips, Google DeepMind, AI coding, Apple AI executive, AI metrics, Anthropic, Microsoft layoffs.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Square keeps up so you don't have to slow down. Get everything you need to run and grow your business—without any long-term commitments. And why wait? Right now, you can get up to $200 off Square hardware at square.com/go/jordan. Run your business smarter with Square. Get started today.

Listen now: Spotify, Apple and YouTubeWhat if you had a personalized AI toolkit—not just a chatbot—that actually remembered your projects, your workflows, and even your family's preferences?In this episode, Marc and Ben sit down with Mike Bal, a product leader experimenting at the frontier of AI tooling. Mike shares how he built a local memory system for Claude using Model Context Protocols (MCPs), enabling persistent knowledge graphs that connect everything from his product designs to his family's vacation plans. They walk through how it works—step-by-step—including a live demo of Fleur (essentially a mini app marketplace to make it easy for non technical people to add MCPs to Claude), how Mike structures entities and relationships, and why this setup beats traditional RAG approaches for real-world usage.If you've ever wanted your AI to truly understand you and the work you do—or you're curious how a product leader uses AI to streamline everything from design reviews to family logistics—this episode is packed with real-world inspiration and actionable examples.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Tech companies continue the acquisition spree of the summer when Vercel announces it's hired the creators of NuxtLabs, the folks who build metaframework Nuxt and server runtime Nitro.Figma returns to the newscycle with the introduction of its Dev Mode MCP server. This server allows agentic coding tools to pull in design context directly from Figma designs. Think: getting code, image, or variable context for a specific design selection or even porting over Figma designs directly into a code base for use.The AI browser race heats up as both OpenAI and Perplexity make news with announcements and early access for their own AI-powered web browsers. Details are limited but both companies are putting their AI search engines front and center to try and steal some Google Chrome's market share.In this week's Lightning News, there's a new framework for building and shipping MCP applications called Xmcp. Focused on developer experience, Xmcp claims you can bootstrap an MCP server from scratch or plug it into an existing Next.js or Express app with one simple command. Finally, the Fire Starters section is back this week with the debut of CSS conditional if() statements in Chrome v137. Out of the box, if() works with style(), media(), and support() queries, and unlocks things like state-based styling with very straightforward syntax that uses a series of condition-value pairs, and even allows for an else statement at the end.Timestamps:1:13 - Vercel acquires NuxtLabs5:54 - Figma releases an MCP Server13:41 - OpenAI and Perplexity announce browsers26:08 - Xmcp framework29:06 - CSS conditions with if()33:05 - What's making us happyLinks:Paige - NuxtLabs joins VercelJack - Figma Dev Mode MCP server TJ - Upcoming web browsers from OpenAI and Perplexity. Xmcp framework for building MCP applicationsCSS conditionals with if() statementsPaige - Somebody Feed Phil TV seriesTJ - MurderbotThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Listen to the full episode here (https://podcast.modernclassrooms.org/207) Guest host Avery Balasbas is joined by a panel of his previous students who are now in college to discuss their MCP experience and how it prepared them for learning beyond high school Read a summary of this episode on the Modern Classrooms Project blog (https://www.modernclassrooms.org/blog/true-college-and-career-readiness). Show Notes Avery's previous MCP Podcast episodes: Episode 139: Teacher and Learner Reflection Practices (https://podcast.modernclassrooms.org/139) Episode 200: Celebrating 200 Episodes (https://podcast.modernclassrooms.org/200) Subway Surfers (https://poki.com/en/g/subway-surfers?campaign=14726801018&adgroup=126978543349&extensionid=&targetid=kwd-38162773484&location=9007807&matchtype=e&network=g&device=c&devicemodel=&creative=669862134951&keyword=subway%20surfers&placement=&target=&gad_source=1&gbraid=0AAAAADlg9ZEeldy7fFdGgjHiTP-hrlnDQ&gclid=Cj0KCQjw3bm3BhDJARIsAKnHoVWutnkEE-vLQQMzDhf50Op28jnhU-SJyxvwS9A3HQwVqb1D2UDhrNkaAtNEEALw_wcB) Ochem Tutor (https://www.youtube.com/channel/UCEWpbFLzoYGPfuWUMFPSaoA) Blackpenredpen (https://www.youtube.com/c/blackpenredpen) Contact us, follow us online, and learn more: Email us questions and feedback at: podcast@modernclassrooms.org (mailto:podcast@modernclassrooms.org) Listen to this podcast on Youtube (https://www.youtube.com/playlist?list=PL1SQEZ54ptj1ZQ3bV5tEcULSyPttnifZV) Modern Classrooms: @modernclassproj (https://twitter.com/modernclassproj) on Twitter and facebook.com/modernclassproj (https://www.facebook.com/modernclassproj) Kareem: @kareemfarah23 (https://twitter.com/kareemfarah23) on Twitter Toni Rose: @classroomflex (https://twitter.com/classroomflex) on Twitter and Instagram (https://www.instagram.com/classroomflex/?hl=en) The Modern Classroom Project (https://www.modernclassrooms.org) Modern Classrooms Online Course (https://learn.modernclassrooms.org) Take our free online course, or sign up for our mentorship program to receive personalized guidance from a Modern Classrooms mentor as you implement your own modern classroom! The Modern Classrooms Podcast is edited by Zach Diamond: @zpdiamond (https://twitter.com/zpdiamond) on Twitter and Learning to Teach (https://www.learningtoteach.co/)

Columbia University has recently suffered a significant data breach, compromising the personal information of 1.8 million individuals, including social security numbers and financial aid details. The hacker, motivated by political opposition to affirmative action policies, claims to have stolen 460 gigabytes of sensitive data. This incident is part of a troubling trend of politically motivated cyber attacks targeting higher education institutions, particularly following the Supreme Court's decision to bar affirmative action practices in 2023. The limited media coverage of this breach raises concerns about data security and the integrity of academic institutions.In a related development, malware detection has surged by 171% in the first quarter of 2025, according to a report from WatchGuard Technologies. This increase highlights the growing sophistication of cyber threats that are outpacing traditional defenses. The report indicates a staggering 712% rise in new malware threats on endpoints, with the LSASS dumper identified as a leading threat. This trend underscores the need for organizations, especially universities and small businesses, to recognize the escalating risks and adapt their security strategies accordingly.Huntress has announced a collaboration with Microsoft to enhance cybersecurity for businesses, integrating its enterprise-grade solutions with Microsoft environments. This partnership aims to provide essential protections for endpoints and identities, allowing organizations to respond more effectively to cyber threats. Meanwhile, Microsoft is discontinuing the use of its Authenticator app for password storage, prompting users to transition to alternative solutions. This shift emphasizes the need for users to rethink their credential management strategies in light of evolving security practices.The podcast also touches on the implications of recent incidents involving major IT service providers, such as Ingram Micro's ransomware attack, which has raised concerns about vendor trust and supply chain fragility. As vendors face scrutiny following security breaches, the erosion of trust in their products becomes a significant issue for managed service providers (MSPs). Additionally, the discussion includes emerging concepts in artificial intelligence, such as context engineering, and the growing prevalence of AI note-takers in meetings, which raises questions about the balance between technological efficiency and human interaction in the workplace. Four things to know today 00:00 Columbia Breach and Malware Surge Show Why Compliance Alone Fails in Today's Threat Landscape04:19 Huntress and Microsoft Join Forces to Bring Enterprise-Grade Security to SMBs and MSPs07:18 Palo Alto Networks Denies Involvement in Ingram Micro Ransomware Attack08:53 MCP's Universal Plugin Model Could Transform MSP Integration and Governance This is the Business of Tech.    Supported by: https://mspradio.com/engage/ All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

In this Episode, Will is joined by Merzain for a meandering discussion about Nashcon, Dice, Apocalypse, Wakanda, Wizards, Sentinels and Gotcha-Games.  If that sounds like a lot of ground to cover in a little over an hour, you'd be right!  However, the guys really show the process of deciding what to play at an event looks like when there's so many great things available in MCP.  Don't forget the Phoenix and Midnight Sons #Giveaway is LIVE!  Enjoy! Baron of Dice - HouseParty for 5% off! Patreon and Merch and more! Krydrufi Hobby Station Thing USE CODE: KRYDRUFI-HPP Connect with us on Facebook @housepartyprotocol HPP on Youtube Discord - HPP_Will Email us - housepartyprotocolpod@gmail.com BattleKiwi - PARTYKIWI The Gamer's Guild A Touch of Tinge - The Warcrow Podcast

Wiz is a cloud security platform that helps organizations identify and remediate risks across their cloud environments. The company's platform scans layers of the cloud stack, including virtual machines, containers, and serverless configurations, to detect vulnerabilities and misconfigurations in context. The Model Context Protocol, or MCP, is emerging as a potential standard for connecting LLM The post MCP Security at Wiz with Rami McCarthy appeared first on Software Engineering Daily.

In this episode, Michael, Sarah and Mark talk to Den Delimarksy about the current posture of Model Context Protocol. Den serves on the committee that oversees MCP. We also cover the latest security news about Azure Firewall, OpenTelemetry, Azure Front Door, Azure Database for PostgreSQL and Azure Kubernetes Service.https://aka.ms/azsecpod

You can reach out and support me at: Patreon: https://www.patreon.com/LexaWhite Discord: ggyppt#1249 (Lexa White on most of the MCP discords) Tumblr: http://ggyppt.tumblr.com   Come to our LVOIS Qualifier https://app.getoccasion.com/p/n/fvjXBqpn/v5 Intro and Outro Music by Codefreq https://www.youtube.com/channel/UCc8KSSTFLmcls2pQEgCiyDw Logo designed by Rayan Meyer

Wiz is a cloud security platform that helps organizations identify and remediate risks across their cloud environments. The company's platform scans layers of the cloud stack, including virtual machines, containers, and serverless configurations, to detect vulnerabilities and misconfigurations in context. The Model Context Protocol, or MCP, is emerging as a potential standard for connecting LLM The post MCP Security at Wiz with Rami McCarthy appeared first on Software Engineering Daily.

Thanks to MLflow for supporting this episode — the platform helping teams track, manage, and deploy ML and GenAI projects with ease. Try it free at mlflow.org.What if AI could build and maintain your software—like a co-worker who never forgets state? In this episode, Jiquan Ngiam chats with Demetrios about agents that actually do the work: parsing emails, updating spreadsheets, and reshaping how we design software itself. Less hype, more hands-on AI—tune in for a glimpse at the future of truly personalized computing.// BioJiquan Ngiam is the Co-Founder and CEO of Lutra AI, with deep expertise in artificial intelligence and machine learning. He was previously at Google Brain, Coursera, and in the Stanford CS Ph.D. program advised by Andrew Ng. He helped develop the first online courses in Machine Learning, and is now building agentic AI systems that can complete tasks for us.// Related Linkshttps://www.youtube.com/@LutraAI#api #llm #lutra #costefficiency #latentspace ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Jiquan on LinkedIn: /jngiam/Timestamps:[00:00] Agents That Actually Do Work[08:21] Building Tables With AI Help[12:54] Guardrails for Smarter Code[16:35 - 18:00] MLFlow Ad[18:30] What's Next for MCP?[23:23] AI as Your Data Conductor[31:13] Rethinking AI + Data Stacks[32:10] Sandbox Security, Real Risks[40:48] Smarter Reviews, Powered by Use[46:08] Cost vs. Quality in AI[52:00] Podcast Editing Gets Creative[56:27] Transparent UIs, Powered by AI[01:00:28] Can AI Learn Good Taste?[01:04:45] Peeking Into Wild AI Futures

The smallest technical decisions become humanity's biggest pivots:The same-origin policy—a well-intentioned browser security rule from the 1990s—accidentally created Facebook, Google, and every data monopoly since. It locks your data in silos—and you stayed where your stuff already is. This dynamic created aggregators.Alex Komoroske—who led Chrome's web platform team at Google and ran corporate strategy at Stripe—saw this pattern play out firsthand. And he's obsessed with the tiny decisions that will shape AI's next 30 years:- Whether AI keeps memory centrally or user-controlled?- Is AI free/ad-supported or user-paid?- Should AI be engagement-maximizing or intention-aligned?- How should we handle prompt injection in MCP and agentic systems?- Should AI be built with AOL-style aggregation or web-style openness?This is a much-watch if you care about the future of AI and humanity.If you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Sponsors: Google Gemini: Experience high quality AI video generation with Google's most capable video model: Veo 3. Try it in the Gemini app at gemini.google with a Google AI Pro plan or get the highest access with the Ultra plan.Attio: Go to⁠⁠⁠⁠ https://attio.com/every⁠⁠⁠⁠⁠ and get 15% off your first year on your AI-powered CRM.Timestamps:Introduction: 00:01:45Why chatbots are a feature not a paradigm: 00:04:25Toward AI that's aligned with our intentions: 00:06:50The four pillars of “intentional technology”: 00:11:54The type of structures in which intentional technology can thrive: 00:14:16Why ChatGPT is the AOL of the AI era: 00:18:26Why AI needs to break out of the silos of the early internet: 00:25:55Alex's personal journey into systems-thinking: 00:41:53How LLMs can encode what we know but can't explain: 00:48:15Can LLMs solve the coordination problem inside organizations: 00:54:35The under-discussed risk of prompt injection: 01:01:39Links to resources mentioned in the episode:Alex Komoroske: @komoramaCommon Tools: https://common.tools/ The public Google document with Alex's raw ideas and thoughts: Bits and BobsA couple of Alex's favorite books: Why Information Grows by Cesar Hidalgo and The Origin of Wealth by Eric Beinhocker

"MCP, c'est un peu le USB-C de l'IA." Le D.E.V. de la semaine est Zineb Bendhiba, principale software engineer chez Red Hat. Zineb vient nous parler du protocole MCP (Modèle, Contexte, Protocole) et son rôle dans le développement de l'intelligence artificielle. Zineb explique comment le MCP simplifie les interactions client-serveur grâce au découplage des systèmes et à l'utilisation du format JSON RPC. Elle explore également la différence entre un "assistant" et un "agent", la sécurité des données et la gestion des autorisations dans les serveurs MCP. La discussion va aux applications pratiques, y compris son expérience dans le développement de gateways et l'importance de tests rigoureux. La communauté est également reconnue comme vitale pour l'évolution du protocole.Chapitrages00:00:57 : Introduction au MCP00:03:05 : Définition du MCP00:06:36 : Le Protocole et ses Clients00:09:11 : Distinction entre Agents et Assistants00:13:59 : Exemples concrets d'utilisation00:22:55 : MCP comme Middleware00:24:23 : L'avenir du MCP00:38:22 : Limites et questions éthiques00:44:20 : Conseils pour débuter avec MCP00:51:13 : Améliorations souhaitées pour MCP00:54:32 : Questions finales et recommandations Liens évoqués pendant l'émission La spec officielle MCP https://modelcontextprotocol.io/Le blog de Guillaume Laforge (récemment sur AI et surtout Java AI) 🎙️ Soutenez le podcast If This Then Dev ! 🎙️ Chaque contribution aide à maintenir et améliorer nos épisodes. Cliquez ici pour nous soutenir sur Tipeee 🙏Archives | Site | Boutique | TikTok | Discord | Twitter | LinkedIn | Instagram | Youtube | Twitch | Job Board |Distribué par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

In this episode, Tatiana Havryliuk, MD, and Randy Glick, BSB/PM, MCP explore how point-of-care ultrasound (POCUS) enables primary care providers to screen for abdominal aortic aneurysm (AAA) during routine office visits. A real-world case highlights how a brief scan identified a large aneurysm in a patient who might not have followed through with imaging. They cover scanning technique, diagnostic criteria, and the strong evidence supporting this quick, high-value application of POCUS. This discussion shows how integrating POCUS into preventive care can streamline workflows and save lives—especially in underserved settings. Dr. Tatiana Havryliuk is an emergency physician and founder of Hello Sono. With 15 years of experience using POCUS in diverse settings, from urban EDs to Everest Base Camp, she is dedicated to extending its benefits to more patients. With Hello Sono, she and her team support practices in building compliant, high-quality, and profitable POCUS programs through tailored education and implementation.  Link to an AAA screening article by Dr. Havryliuk: https://sma.org/real-time-screening-for-aaa-pocus-helps-bridge-the-preventive-care-gap/

The Model Context Protocol (MCP) specification has helped to accelerate access to a wide range of data sources for AI applications. But there are questions about the security and trust implications around a protocol that is still in its infancy. Scott Crawford and Justin Lam return to the podcast to examine the concerns that have been raised and changes that are underway in the specification with host Eric Hanselman. The previous episode introduced MCP and some of the market forces that are in play. Security considerations didn't appear to be fully sorted out in the first version of the specification, but more work is being done to move beyond the OAuth-based approach. Automating the data access process can be powerful, but also fraught with the potential for abuse.  The larger questions in MCP revolve around understanding risk and establishing trust. Data exposure has been a constant concern in AI, but the more complex issues exist in the integrity of the data that's being used. AI technology is moving forward rapidly and adversaries that are looking to compromise it and moving right along with these advances. More S&P Global Content: The 2025 Generative AI Outlook Next in Tech | Ep. 224: Context Around MCP For S&P Global Subscribers: Technology Primer: Model Context Protocol explained Databases and analytic services get the agentic AI treatment at Google Cloud Next 2025 IT Insider 3: A roundup for IT decision-makers Credits: Host/Author: Eric Hanselman  Guests: Scott Crawford, Justin Lam Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

Alan Braithwaite is Co-Founder & CTO of RunReveal, the security data platform with real-time monitoring, built-in detections, and AI-powered investigations. Today, they manage and analyze security logs for teams at Harvey, ClickHouse, Cloudflare, and Temporal. RunReveal has multiple open source projects including event stream processing library kawa and query language pql. RunReveal has raised from investors including Costanoa, Modern Technical Fund, and Runtime Ventures. In this episode, we dig into:Why today's modern security teams are rethinking data management The benefits of building RunReveal on ClickHouse How they worked with early believers / customers like TemporalTheir open source strategy and building trust with the community through open sourcing components like their event processing libraryTheir MCP server and enabling security teams to use AI to automate investigations (including the launch of their new remote MCP server)

The people demanded it and we have brought it. We are going to tier list EVERY SINGLE CHARACTER in MCP. These are behemoth episodes. I don't even remember what was said in them and they are live to tape edited so excuse any sound issues. Enjoy!!!

Hablamos con David Campión, presidente de la MCP

We're in between WWDC and the Public Betas, and it's the perfect time for a summer vibe check!Tom and Jeff break down what they're reading, watching, listening to, and playing with this summer. Books, newsletters, podcasts, the new Reply All Time and Top Songs playlists in Apple Music, and more. Additionally, Tom gets nerdy with Claude, Readwise, and MCP, while Jeff plans to dabble in sketching and watercolors. Links:White Noise – Don DeLilloCrudo – Olivia LaingWellness – Nathan HillThe Hidden Girl and Other Stories – Ken LiuThroughline – NPR PodcastSeeing White (Scene on Radio) – Listen to Episode 1The Mars Volta – Lucro Sucio; Los Ojos del Vacío (Filthy Lucre; The Eyes of the Void)Pink Elephant – Arcade FireJeff's Playlist – Trying Not to CryLost in Play – Apple ArcadeSahil BloomJames Clear – Atomic HabitsUnreasonable HospitalityLean LearningVanessa Lau on YouTubeModern Wisdom PodcastQuestion or Comment? Send us a Text Message!Contact Us Drop us a line at feedback@basicafshow.com You'll find Jeff at @reyespoint on Threads and reyespoint.bsky.social on Bluesky Find Tom at @tomanderson on Threads Join Tom's newsletter, Apple Talk, for more Apple coverage and tips & tricks. Tom has a new YouTube channel Show artwork by the great Randall Martin Design Enjoy Basic AF? Leave a review or rating! Review on Apple Podcasts Rate on Spotify Recommend in Overcast Intro Music: Psychokinetics - The Chosen Apple Music Spotify Transcripts and some images are AI generated and may contain errors and general silliness....

In this episode, host Joe Colantonio sits down with Debbie O'Brien, Principal Technical Program Manager at Microsoft and a leading advocate for Playwright end-to-end testing. Debbie shares her fascinating journey from web design in the late '90s to building and nurturing the Playwright community at Microsoft. Together, they tackle the latest and greatest in test automation, with a special focus on Playwright's Model Context Protocol (MCP) server and how you can unlock its powerful AI-driven browser automation capabilities. From real-world advice on overcoming resistance to testing in teams to the exciting possibilities MCP brings for generating and scaling tests with natural language and AI, this conversation is packed with both practical tips and future-looking insights. Debbie also addresses common fears around AI replacing jobs, highlighting the need for testers and developers to embrace these tools and stay ahead of the curve. Whether you're an automation engineer, front-end developer, or simply curious about where testing is headed, this episode is full of actionable wisdom and inspiration. Tune in and get ready to supercharge your automation skills!

Explore the future of AI integration, Microsoft Cloud updates, and security innovations tailored for the SMB market. In this episode, we dive into the transformative role of AI MCP servers, the latest Microsoft 365 and Teams updates, and practical security and compliance strategies. Whether you're an IT pro, business leader, or tech enthusiast, this episode delivers actionable insights and resources to stay ahead in the Microsoft ecosystem.   Resources CIAOPS Need to Know podcast - CIAOPS - Need to Know podcasts | CIAOPS X - https://www.twitter.com/directorcia Join my Teams shared channel - Join my Teams Shared Channel – CIAOPS CIAOPS Merch store - CIAOPS Become a CIAOPS Patron - CIAOPS Patron CIAOPS Blog - CIAOPS – Information about SharePoint, Microsoft 365, Azure, Mobility and Productivity from the Computer Information Agency CIAOPS Brief - CIA Brief – CIAOPS CIAOPS Labs - CIAOPS Labs – The Special Activities Division of the CIAOPS Support CIAOPS - https://ko-fi.com/ciaops Get your M365 questions answered via email What's new in Microsoft Entra – June 2025: Highlights include upcoming support for backing up account names in the Authenticator app using iCloud Keychain Enhancing Defense Security with Entra ID Governance: Discusses how Entra ID Governance strengthens defense sector security What's New in Microsoft Teams | June 2025: Covers new Teams features and enhancements 3.  What's new in Microsoft Intune: June 2025: Summarizes Intune updates including device management improvements Microsoft Intune data-driven management | Device Query & Copilot: Introduces new Copilot-powered device query features Data Breach Reporting with Microsoft Data Security Investigations: Guidance on regulatory breach reporting Modern, unified data security in the AI era: New Microsoft Purview capabilities for AI-driven data protection Safeguarding data with Microsoft 365 Copilot: Focuses on compliance and security in Copilot deployments Protection Against Email Bombs: Microsoft Defender for Office 365 introduces new protections Introducing the Microsoft 365 Copilot App Learning Series: Learning resources for Copilot adoption Making the Most of Attack Simulation Training: Best practices for security training Processing status pane for SharePoint Autofill: New UI enhancements for SharePoint  Introducing the New SharePoint Template Gallery: Streamlined template discovery and usage Planning your move to Microsoft Defender portal: Transition guidance for Sentinel customers Jasper Sleet: North Korean IT infiltration tactics: Threat intelligence update Managing warehouse devices with Microsoft Intune: Real-world Intune use case Integrating Microsoft Learn Docs with Copilot Studio using MCP

Ready for a great explanation of Agentic AI? For the last show at Build, Carl and Richard sit down with Seth Juarez to dig into what agentic AI really is - and how you can take advantage of it! Seth discusses the potential of MCP and NLWeb to enable agents to work with each other, as well as the challenges of managing these tools effectively. The conversation turns to what's happening under the hood of agentic AI software, including the limitations of its abilities. There is a need for governance and clear thinking with these new development tools!

All posts and images can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode co-hosted by me, David Spark, the producer of CISO Series, and Geoff Belknap. Joining us is Steve Knight, former CISO, Hyundai Capital America. In this episode: Streamlining vendor evaluations  Moving beyond compliance theater The scorecard skeptics Finding the right balance Thanks to our sponsor, Formal Formal secures humans, AI agent's access to MCP servers, infrastructure, and data stores by monitoring and controlling data flows in real time. Using a protocol-aware reverse proxy, Formal enforces least-privilege access to sensitive data and APIs, ensuring AI behavior stays predictable and secure. Visit joinformal.com to learn more or schedule a demo.

In this Episode, Will is joined by Rightmad (Ben) for to talk about his experience at ACO, why Inhumans are on the upswing and if there even is a "meta" forming in MCP.  The guys first talk about where Marvel: Crisis Protocol is and why it feels like the game is in the best state we've seen in a long time.  What is making things feel this way and how does that help you at your local shop?  Ben also goes into how the Inhumans have a strong play pattern on the competitive scene and what you can do to slow it down.  Lastly, the Phoenix and Midnight Sons #Giveaway is LIVE!   Enjoy! Baron of Dice - HouseParty for 5% off! Patreon and Merch and more! Krydrufi Hobby Station Thing USE CODE: KRYDRUFI-HPP Connect with us on Facebook @housepartyprotocol HPP on Youtube Discord - HPP_Will Email us - housepartyprotocolpod@gmail.com BattleKiwi - PARTYKIWI The Gamer's Guild Blacksitestudio.com - HOUSEPARTY15

You can reach out and support me at: Patreon: https://www.patreon.com/LexaWhite Discord: ggyppt#1249 (Lexa White on most of the MCP discords) Tumblr: http://ggyppt.tumblr.com   Check out AGoose's blog at https://pwnao.blogspot.com/   Intro and Outro Music by Codefreq https://www.youtube.com/channel/UCc8KSSTFLmcls2pQEgCiyDw Logo designed by Rayan Meyer

This week, we're diving deep into some of the most exciting updates in the React Native ecosystem—and I'm sharing a few personal shifts too.

Join me as I chat with Tod Sacerdoti about String, a platform that allows users to build AI agents through natural language prompts rather than complex visual workflows. Tod showcases several practical examples of automations, from monitoring Hacker News for specific terms to generating LinkedIn posts from blog content. The platform aims to make automation accessible to non-technical users while providing the power to solve complex business problems. Timestamps: 00:00 - Intro 01:03 - String Overview 01:49 - Agent 1: Monitoring Hacker News for MCP mentions 08:15 - Agent 2: Creating LinkedIn posts from RSS feeds 17:14 - Agent 3: Automating Google Analytics Summary 23:53 - Startup Idea: Building businesses on top of String 27:10 - Agent 4: Daily Automation Idea Generator 38:32 - Advice for getting started with String Checkout String: https://string.com Key Points: • String is an AI agent platform that builds AI agents using natural language instead of complex node charts • The platform allows users to create automations that monitor websites, generate content, and integrate with tools like Slack and Google Docs • String uses dynamic code generation to go beyond pre-built integrations, enabling more complex use cases • The platform follows a credit-based pricing model similar to other AI coding platforms The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND TOD ON SOCIAL String: https://string.com X/Twitter: https://x.com/tod?lang=en

Extra Credit [MCP] Speed Racer (2008) Extra Credit [Fonso] Congo (1995) Extras: [MCP] 28 Weeks Later (2007) [MCP] Lilo & Stitch (2025) [MCP] 28 Days Later (2002) Next: Homework [Fonso] Repo Man (1984) Extra Credit [Fonso] Dirty Work (1998)

If you're still building products only for humans, you're already missing out on a massive new customer base: AI agents. Joining Dev Interrupted is Andrew Hamilton, co-founder and CTO of Layer (a first-of-it's kind MCP agency) to unravel this monumental shift in how products will be discovered and consumed. He dives into how AI agents are rapidly evolving from developer tools to direct consumers of APIs and products, with new standards like the MCP spearheading this transformation by effectively creating an "app store for LLMs." This evolution demands a complete rethink of product design, packaging, and user experience for an entirely new kind of user.Andrew educates us about how successfully leveraging MCP isn't about a simple one-to-one API mapping, but about thoughtfully designing an "agent experience" based on key user workflows and providing pre-packaged capabilities. He shares insights on identifying good MCP candidates, the importance of experimentation in this fast-moving space, and how tools like Layer are defining the frontier of agent-accessible tooling.Check out:The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest(s):LinkedIn: Andrew HamiltonLearn more about Layer: buildwithlayer.comReferenced in today's show:Google Cloud donates A2A to Linux FoundationGemini CLI: your open-source AI agent Meta poaches OpenAI researchersAirtable as the AI-native appSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

Linking generative AI models to the agents that are going to use them now has a standard for queries, the Model Context Protocol (MCP). Suddenly all sorts of things are vying to be your data source of choice. What could go wrong? Analysts Jean Atelsek, James Curtis and Henry Baltazar join host Eric Hanselman to provide an introduction to what MCP is, what all the fuss is about and where this is headed. Since Anthropic released the standard in November of 2024, there has been significant progress in expanding and clarifying it, but it is still very much a work in progress. Database providers and storage vendors have been the obvious participants and many others are joining in. The larger questions are around ensuring trust and transparency in this market. Basic authentication has been worked out, but more sophisticated authorization mechanisms need to be defined. The mad dash is already leading to M&A activity, with storage vendors looking to expand their opportunities and maintain their relevance. Microsoft has released its MCP definition and Google has created an agent-to-agent (A2A) protocol for direct agent interactions. There are many pieces that are coming together to enable fully agentic operations and there is still a lot of work to be done.   More S&P Global Content: The 2025 Generative AI Outlook For S&P Global subscribers: Technology Primer: Model Context Protocol explained Databases and analytic services get the agentic AI treatment at Google Cloud Next 2025 IT Insider 3: A roundup for IT decision-makers Credits: Host/Author: Eric Hanselman Guests: Jean Atelsek, James Curtis, Henry Baltazar Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

Drawing from his experience building enterprise SOCs and teaching thousands of security professionals, John Hubbard, Cyber Defense Curriculum Lead at SANS Institute and host of the Blueprint podcast, tells Jack about how AI is revolutionizing security operations centers, including balancing AI automation with fundamental analyst skills. They also explore practical AI applications in alert contextualization, team performance analysis, and the future vision of natural language interfaces for complex security tasks.  John emphasizes the importance of teaching both traditional methods and AI-enhanced approaches, ensuring security teams can leverage technology while maintaining critical thinking capabilities. He also discusses considerations around local versus cloud-based AI models and offers actionable advice for security professionals looking to future-proof their careers in an increasingly automated landscape.   Topics discussed: How AI transforms alert contextualization by dynamically incorporating business context and asset information for better triage decisions. The educational challenge of teaching both foundational security methods and AI-enhanced approaches to maintain analyst skills. Practical applications of AI in SOC operations, including automated phishing triage and mass analysis of analyst performance data. The evolution toward natural language interfaces that could enable complex security tasks like packet analysis through conversational commands. Custom agent development versus relying on vendor-provided AI solutions, including the technical challenges and coding requirements involved. Future SOC architecture predictions featuring interconnected agents, MCP protocols, and the abstraction of traditional security analyst tasks. Local versus cloud-based AI model considerations, including data privacy concerns, computational requirements, and trust implications. The critical question of oversight in automated security operations and who monitors AI agents in increasingly autonomous systems. Performance analysis capabilities enabled by AI's ability to process written text and logs at scale for team improvement insights. Practical advice for security professionals to embrace discomfort, invite AI into problem-solving, and establish mentoring relationships for career growth. Listen to more episodes:  Apple  Spotify  YouTube Website

The Daytona founders - Ivan Burazin and Vedran Jukic - discuss their pivot to an AI agent cloud. We dig into the new infrastructure requirements of developing agents that need their own sandboxes to operate in.A year ago, we had them on to talk about Daytona giving us remote development environments for humans, and they have now pivoted the company to focusing on providing cloud hosting environments for AI agents to operate.I suspect this is something we're all gonna eventually need to tackle as we work to automate more of our software engineering. So we spend time breaking down the concepts and the real world needs of humans developing agents, and then the needs of AI that require places to run their own tools in code.Check out the video podcast version here https://youtu.be/l8LBqDUwtV8Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Ivan Burazin - Guest Vedran Jukic - Guest You can also support my content by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com (00:00) - Intro (06:08) - Daytona's Sandbox Technology (12:57) - Practical Applications and Use Cases (14:29) - Security and Isolation in AI Agents (17:59) - Start Up Times for Sandboxing and Kubernetes (22:51) - Daytona vs Lambda (31:06) - Rogue Models and Isolation (34:54) - Humanless Operations and the Future of DevOps (47:17) - SDK vs MCP (50:15) - Human in the Loop (51:13) - Daytona: Open Source vs Product Offering

The AI drama is full tilt!↳ Meta and OpenAI have all but declared a war on top tech talent. ↳ Google released a free AI coding tool that will likely make huge cuts into Claude's customer base. ↳ Salesforce says AI is doing their own jobs for them. And that's just the tip of the AI iceberg y'all. Don't waste hours a day trying to keep up with AI. Instead, join us on Mondays as we bring you the AI News That Matters.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Talent War: Meta vs. OpenAIAI Firms and Copyright Lawsuits UpdateOpenAI Trademark Battle with IOEleven Labs' New Voice AI LaunchUS Senate AI Regulation DealAnthropic's Claude Platform Features UpdateSalesforce's AI Workload IntegrationGoogle Gemini CLI Free Coding ToolMeta's Aggressive AI Talent RecruitmentOpenAI's Strategy to Retain ResearchersTimestamps:00:00 "AI News: Weekly and Daily Updates"03:12 AI Copyright Lawsuits: Early Rulings09:18 OpenAI-IO Trademark Dispute Unveiled12:23 Futile Lawsuit Against New Gadget14:21 "11 AI: Voice-Activated Task Assistant"17:37 "AI Strategy and Education Solutions"21:54 Federal AI Funding and State Regulation25:05 States Must Forego AI Regulation28:18 Anthropic Updates Claude with Artifacts31:23 Claude vs. Google Usage Limits37:17 Google Disrupts Coding with Free Tool40:17 Meta's AI Talent and Business Strategy44:20 OpenAI Responds to Meta Poaching45:49 AI Developments: LLaMA and Grok Updates49:14 OpenAI Faces Lawsuit Over IOKeywords:AI talent war, Meta, OpenAI, Federal judges ruling, California federal judges, Copyrighted books, Anthropic, Meta's legal win, Sarah Silverman, US Supreme Court, Intellectual property rights, New York Times vs OpenAI, Disney lawsuit, Universal lawsuit, Midjourney, State AI regulation, Federal funding, US Senate, Ten-year ban, Five-year ban, AI infrastructure, Federal AI funds, Sam Altman, IO hardware startup, Trademark battle, Hardware device, Eleven Labs, 11 AI, Voice assistant, Voice command execution, MCP, Salesforce, Marc Benioff, AI workload, AI agents, Anthropic Claude update, Artifacts feature, Artifact embedding, Salesforce customer service, Command line interface, Gemini CLI, Gemini 2.5 pro, Coding tools, Desktop coding agent, Meta poaching, Superintelligence lab, AI researchers, Meta's aggressive recruitment, Llama four, Llama 4.5, Microsoft, Anthropic, Google Gemini scheduled tasks, GoogleSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

APIs power the modern internet—but they're still a pain to work with. In this episode, I sit down with Simon Yu, Co-founder of Speakeasy, to explore how they're transforming API development. From automated SDKs and Terraform providers to agent-ready MCP servers, Speakeasy is redefining how APIs are built, shared, and consumed. We also delve into how AI fits into the future of developer tooling and agentic workflows.

Author here! I'll be honest, I did not expect this story to drop on MCP's channel, but I'm happily surprised by it! I know you're all waiting for him to finish up my Vegas story, and hopefully you'll get the conclusion soon, but until then, here's a story I thought up one day while showering. Enjoy! ~ J.L. Goodwin

Everyone wants the latest and greatest AI buzzword. But at what cost? And what the heck is the difference between algos, LLMs, and agents anyway? Tune in to find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started. Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started.

OpenAI, Google & Anthropic are all eating different parts of the business & creative worlds but where does that leave us? For only 25 cents, you too can sponsor a human in a world of AGI. In the big news this week, OpenAI's takes on Microsoft Office, Google's cutting the cost of AI coding with their new Google CLI (Command Line Interface) and dropped an on-device robotics platform. Oh, and Anthropic just won a massive lawsuit around AI training and fair use. Plus, Tesla's rocky rollout of their Robotaxis, Eleven Labs' new MCP-centric 11ai voice agent, Runway's Game Worlds, the best hacker in the world in now an AI bot AND Gavin defends AI slop. US HUMANS AIN'T GOING AWAY. UNLESS THE AI GIVES US ENDLESS TREATS.  #ai #ainews #openai Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/ // Show Links //   OpenAI Developing Microsoft Office / Google Workplace Competitor https://www.theinformation.com/articles/openai-quietly-designed-rival-google-workspace-microsoft-office?rc=c3oojq OpenAI io / trademark drama:  https://www.theguardian.com/technology/2025/jun/23/openai-jony-ive-io-amid-trademark-iyo Sam's receipts from Jason Rugolo (founder of iYo the headphone company) https://x.com/sama/status/1937606794362388674 Google's OpenSource Comand Line Interface for Gemini is Free? https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/ 1000 free Gemini Pro 2.5 requests per day https://x.com/OfficialLoganK/status/1937881962070364271 Anthropic's Big AI Legal Win  https://www.reuters.com/legal/litigation/anthropic-wins-key-ruling-ai-authors-copyright-lawsuit-2025-06-24/ More detail: https://x.com/AndrewCurran_/status/1937512454835306974 Gemini's On Device Robotics https://deepmind.google/discover/blog/gemini-robotics-on-device-brings-ai-to-local-robotic-devices/ AlphaGenome: an AI model to help scientists better understand our DNA https://x.com/GoogleDeepMind/status/1937873589170237738 Tesla Robotaxi Roll-out https://www.cnbc.com/2025/06/23/tesla-robotaxi-incidents-caught-on-camera-in-austin-get-nhtsa-concern.html Kinda Scary Looking: https://x.com/binarybits/status/1936951664721719383 Random slamming of brakes: https://x.com/JustonBrazda/status/1937518919062856107 Mira Murati's Thinking Machines Raises $2B Seed Round https://thinkingmachines.ai/ https://www.theinformation.com/articles/ex-openai-cto-muratis-startup-plans-compete-openai-others?rc=c3oojq&shared=2c64512f9a1ab832 Eleven Labs 11ai Voice Assistant https://x.com/elevenlabsio/status/1937200086515097939 Voice Design for V3 JUST RELEASED: https://x.com/elevenlabsio/status/1937912222128238967 Runway's Game Worlds  https://x.com/c_valenzuelab/status/1937665391855120525 Example: https://x.com/aDimensionDoor/status/1937651875408675060 AI Dungeon https://aidungeon.com/ The Best Hacker in the US in now an autonomous AI bot https://www.pcmag.com/news/this-ai-is-outranking-humans-as-a-top-software-bug-hunter https://x.com/Xbow/status/1937512662859981116 Simple & Good AI Work Flow From AI Warper https://x.com/AIWarper/status/1936899718678008211 RealTime Natural Language Photo Editing https://x.com/zeke/status/1937267796146290952 Bunker J Squirrel https://www.tiktok.com/t/ZTjc3hb38/ Bigfoot Sermons https://www.tiktok.com/t/ZTjcEq17Y/ John Oliver's Episode about AI Slop https://youtu.be/TWpg1RmzAbc?si=LAdktGWlIVVDqAjR Jabba Kisses Han https://www.reddit.com/r/CursedAI/comments/1ljjdw3/what_the_hell_am_i_looking_at/  

MCP, or Model Context Protocol, is an open-source project originally created by Anthropic. MCP is designed to let AI agents to connect to data repositories, applications, business and developer tools, and other agents to execute tasks and carry out instructions. Day Two DevOps explores the capabilities and pitfalls of MCP, how the protocol works, and... Read more »

MCP, or Model Context Protocol, is an open-source project originally created by Anthropic. MCP is designed to let AI agents to connect to data repositories, applications, business and developer tools, and other agents to execute tasks and carry out instructions. Day Two DevOps explores the capabilities and pitfalls of MCP, how the protocol works, and... Read more »

Today, we're joined by Vijoy Pandey, SVP and general manager at Outshift by Cisco to discuss a foundational challenge for the enterprise: how do we make specialized agents from different vendors collaborate effectively? As companies like Salesforce, Workday, and Microsoft all develop their own agentic systems, integrating them creates a complex, probabilistic, and noisy environment, a stark contrast to the deterministic APIs of the past. Vijoy introduces Cisco's vision for an "Internet of Agents," a platform to manage this new reality, and its open-source implementation, AGNTCY. We explore the four phases of agent collaboration—discovery, composition, deployment, and evaluation—and dive deep into the communication stack, from syntactic protocols like A2A, ACP, and MCP to the deeper semantic challenges of creating a shared understanding between agents. Vijoy also unveils SLIM (Secure Low-Latency Interactive Messaging), a novel transport layer designed to make agent-to-agent communication quantum-safe, real-time, and efficient for multi-modal workloads. The complete show notes for this episode can be found at ⁠https://twimlai.com/go/737.

The exact MCP system to make Claude 10x more powerful : https://www.gregisenberg.com/claude-mcp Join me as I chat with Riley Brown about how to enhance Claude's capabilities with MCPs. He demonstrates practical applications including accessing Notion databases for content creation and using Glyph for automated thumbnail generation. While acknowledging the current setup process is somewhat technical, Riley emphasizes the significant productivity benefits and predicts these integrations will become more streamlined in the near future. Timestamps: 00:00 - Intro 01:08 - MCP Explained 04:36 -Why MCP's matter? 08:42 - Docker's MCP Toolkit 10:34 - Notion - Claude MCP Integration 22:56 - Demo of Glyph Workflow for Thumbnail Creation 28:17 - How to be an AI Agent Orchestrator Key Points: • Riley explains how to use MCP (Model Context Protocol) to give AI agents like Claude access to external tools • Demonstrates integration with Notion databases and Glyph workflows through Docker • Shows how to create automated workflows for content creation and thumbnail generation • Discusses the importance of providing good examples and context to AI agents The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ BoringMarketing — Vibe Marketing for Sale: http://boringmarketing.com/ Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND RILEY ON SOCIAL Vibe Code App: https://apps.apple.com/us/app/vibecode/id6742912146 X/Twitter: https://x.com/rileybrown_ai Youtube: https://www.youtube.com/@rileybrownai