Podcasts about COBOL

In this episode of Robots and Red Tape, host Nick Schutt sits down with Austin Keller, Director of Data Science at IntelliDyne, for a grounded conversation on why critical systems still run on DOS, floppies, and “version 15 final redo,” and why most AI projects start in the wrong place.Drawing on manufacturing, Navy, DOJ, and VA work, Austin argues you start with the business problem—not the shiny tool—and that security is step zero.Key topics:Why “if it works, don't mess with it” leaves agencies on 20–30-year-old stacksStarting with the job to be done, not “we want AI”Data that will not talk to other data—and why that is by designCoding agents that can read COBOL and Fortran when the last developer is goneWhere AI ROI actually shows up: repetitive tasks, small agents, and UI that saves keystrokesPodcast: Robots and Red Tape | Host: Nick Schutt | YouTube: @RobotsandRedTapeAI

The Defense Logistics Agency's five-year IT modernization journey reached an important milestone earlier this summer. DLA moved its catalog system off a 35-year-old COBOL based system and onto a new modern platform. For more on the agency's latest IT modernization achievement, Federal News Network executive editor Jason Miller caught up with Adarryl Roberts, DLA's chief information officer.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Colombia sufre un terremoto de 7.4 grados, con 240 fallecidos y más de 2500 heridos o desaparecidos. Los rescates en Cali y Pereira afrontan escasez de medios y problemas de orden público. La normativa sismorresistente post-1999 salva vidas, destacando la importancia de las primeras 72 horas para hallar supervivientes. La emancipación juvenil en España cae al 31%, muy por debajo de la media europea. Los jóvenes necesitan el salario de cinco años para una hipoteca, y el alquiler medio consume casi el 100% de su sueldo. Se proponen topar alquileres y subir el SMI. La temporalidad en el sector público es alta, afectando más a mujeres. La historia de la tecnología resalta a Charles Babbage (padre de la computadora), Ada Lovelace (primera programadora), Alan Turing (computación e IA), Grace Hopper (compiladores y COBOL) y Leonardo Torres Quevedo (inventor). Las revoluciones tecnológicas clave son el ordenador personal, Internet y la inteligencia artificial. A partir de octubre, las ...

An airhacks.fm conversation with Donald Raab about: the Epson HX-20 as the world's first laptop and learning Basic, an acoustic coupler modem, the Atari 2600 and Pitfall, Montezuma's Revenge, Apple II clones and the Franklin Ace, running a bulletin board system, learning BASIC, Pascal, fortran, COBOL, Turbo prolog and Turbo Pascal, dBASE III Plus as language and database management system, DBF file format by Ashton-Tate, Clipper by Nantucket as a dBASE compiler with Blinker linker, T-Browse and cursor-based table access, FoxPro and the x-based language family, NDX/NTX/CDX index formats, SQLJ embedded SQL, Paradox and Delphi, learning Smalltalk at IBM Object Technology University, Alan Kay and pure object orientation, blocks as lambdas in Smalltalk and Clipper (via the Classy library), ENVY version control with method-level editions, VisualAge for Smalltalk and VisualAge for Java, method categories for organizing methods, migrating a Clipper application to Java using interfaces and static methods in a procedural style, transparent persistence with TopLink and EclipseLink, memory constraints in 32-bit Java on Solaris, building a custom caching framework, the origins of Eclipse Collections in 2004, waiting ten years for lambdas, the JSR 335 expert group with Brian Goetz, select/collect/inject versus filter/map/reduce, eager methods on collections versus lazy streams, code folding regions in IntelliJ to simulate method categories, the book "Eclipse Collections Categorically", JRuby and Asciidoctor, meeting Yukihiro Matsumoto at OOPSLA 2002 Donald Raab on twitter: @TheDonRaab

What does AI actually change in heavy industry? Jonathan Green talks with Rick Carlisle — a lifelong technologist who started coding in COBOL — about AI in IT and the oil fields: using AI to add layers of safety rather than replace them, catching patterns in alarm and monitoring data, and why the data-center boom is even reviving nuclear power. Key Takeaways: • Use AI to add layers of safety — don't trade existing safety for efficiency • AI shines at spotting patterns in alarm/monitoring data that humans miss • The data-center power demand is reviving nuclear • AI's real value is augmentation and speed, not replacing proven systems • "Artificial" is a label — the underlying reality (and the safety stakes) hasn't changed Notable Quotes: "We throw the term 'artificial' on it, but the biology hasn't changed." — Rick Carlisle "I'd rather use AI to add more layers of safety than to replace the existing layers." — Jonathan Green Connect with Rick Carlisle: LinkedIn: https://www.linkedin.com/in/rickcde Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone in IT or heavy industry.Connect with Jonathan GreenThe Bestseller: ChatGPT ProfitsFree Gift: The Master Prompt for ChatGPTFree Book on Amazon: Fire Your BossPodcast Website: https://artificialintelligencepod.com/  Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunesVideo Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast 

This week, we're joined by Veronica from the brilliant YouTube channel Veronica Explains for a journey through a lifetime of tinkering with technology. Veronica shares stories of growing up in a family of programmers, exploring the early Internet through Prodigy and GeoCities, inheriting a 50-year-old COBOL codebase, her love of the Commodore 64 and Amiga, the lost art of the computer manual, and why older computers often encouraged us to understand, repair and truly own the technology we used. Veronica Explains: https://veronicaexplains.net/https://www.youtube.com/@VeronicaExplainsContents:00:00 – The Week's Retro News Stories50:17 – Veronica Explains InterviewPlease visit our amazing sponsors and help to support the show:Bitmap Books – https://www.bitmapbooks.comGo to https://surfshark.com/retrohour or use code RETROHOUR at checkout to get 4 extra months of Surfshark VPN!Check out PCBWay at https://pcbway.com for all your PCB needsPlayEXPO Blackpool: https://www.playexpoblackpool.com/We need your help to ensure the future of the podcast, if you'd like to help us with running costs, equipment and hosting, please consider supporting us on Patreon:https://theretrohour.com/support/https://www.patreon.com/retrohourJoin our Discord channel: https://discord.gg/GQw8qp8Website: http://theretrohour.comFacebook: https://www.facebook.com/theretrohour/X: https://twitter.com/retrohourukInstagram: https://www.instagram.com/retrohouruk/Bluesky: https://bsky.app/profile/theretrohour.comTwitch: https://www.twitch.tv/theretrohourShow notesXbox Backwards Compatibility Expands: https://lnk.ua/TLKK3aUEzRuff 'n' Tumble 2026: https://lnk.ua/mRTXvpXvM3DO Classic Comes To Jaguar: https://lnk.ua/1usp847sOConker 64 Footage Surfaces: https://lnk.ua/9Lb4R3KoHSega Rally On Mega Drive: https://lnk.ua/NlQIztuNFRare Nintendo FamicomBox Discovered: https://lnk.ua/dD0ixsVqOHomemade PS4 OLED Handheld: https://lnk.ua/qdxKaI6ME 

ในยุคที่โลกกำลังตื่นเต้นกับความก้าวหน้าของ AI รู้หรือไม่ครับว่าระบบการเงินที่หล่อเลี้ยงโลกใบนี้ กลับถูกขับเคลื่อนด้วยเทคโนโลยีโบราณที่มีอายุมากกว่า 60 ปี! ทุกครั้งที่คุณกดเงินที่ตู้ ATM หรือรูดบัตรเครดิต ธุรกรรมกว่า 95% ทั่วโลก และเม็ดเงินมูลค่ากว่า 3 ล้านล้านดอลลาร์ในแต่ละวัน ต้องวิ่งผ่านภาษาคอมพิวเตอร์ที่ชื่อว่า COBOL (โคบอล) ซึ่งโปรแกรมเมอร์ยุคนี้แทบไม่มีใครเขียนเป็นแล้ว ทำไมธนาคารระดับโลกถึงยอมฝากชะตากรรมไว้กับระบบเก่าแก่ที่ไม่มีใครกล้าแตะต้อง และใครคือวีรสตรีเบื้องหลังผู้ให้กำเนิดภาษาคอมพิวเตอร์ระดับตำนานนี้ ========================= 

Bancomat, prenotazioni aeree, banche, pubblica amministrazione: dietro le interfacce moderne che usiamo ogni giorno gira spesso codice scritto negli anni Settanta e Ottanta, che quasi nessuno sa più mantenere. Un problema enorme e invisibile, e il modo in cui l'Intelligenza Artificiale può aiutare a risolverlo.Gabriele Gobbo, digitologo e ideatore di FvgTech, ne parla con Michele Laurelli, sviluppatore di sistemi AI. Insieme spiegano perché linguaggi come COBOL sono un rischio (non li studia più nessuno, chi li conosce va in pensione), cosa succede quando quel software si rompe, e perché le migrazioni verso sistemi moderni sono operazioni delicatissime, da centinaia di milioni fino a due miliardi di euro per i grandi gruppi.Il punto di svolta è l'AI, ma non quella pubblica: Laurelli racconta il lavoro del suo team su un sistema che automatizza gran parte della migrazione, spiegando perché non si può usare ChatGPT o Gemini quando si tocca il patrimonio informatico di un'azienda, e serve lavorare con modelli privati e in locale. Un episodio che si affianca ai temi del libro "Sentimento Sintetico" sul rapporto tra tecnologia e lavoro.

Bun quitte Zig pour Rust en 11 jours à coups de Claude Code, pour 165 000$ payés par Anthropic : la réaction du créateur de Zig ne se fait pas attendre. TypeScript 7 débarque, réécrit en Go, 8 à 12x plus rapide. Entre les deux, Vidocq réimplémente Jakarta EE en souverain, le COBOL met un uppercut aux microservices, et un CTO demande à son équipe combien de temps il lui faudrait pour revenir à sa vélocité antérieure sans Claude Code. De quoi réfléchir avant le prochain rewrite. Enregistré le 17 juillet 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-342.mp3 ou en vidéo sur YouTube. News Langages Est-ce qu'on peut aussi utiliser des double, des longs, ou autre pour gérer les montants monétaires en Java ? https://blog.frankel.ch/bigdecimal-vs-double/ double (IEEE 754) Usage : Calculs scientifiques, métriques, statistiques. Avantages : Très performant (matériel), idéal pour l'approximatif. Risques : Erreurs d'accumulation, égalité (==) trompeuse, NaN / -0.0. Bonnes pratiques : Utiliser une tolérance (epsilon ou ULP) pour comparer ; utiliser des algorithmes de sommation compensée (Kahan/Neumaier) pour la précision. BigDecimal Usage : Finance, comptabilité, fiscalité (précision décimale stricte). Avantages : Contrôle total des arrondis et de l'échelle. Risques : Lent (allocations), immutabilité (risque de mauvaise réaffectation), confusion equals() vs compareTo(). Bonnes pratiques : Initialiser via String ou valueOf() ; utiliser compareTo pour l'égalité. Point fixe (long) Usage : Trading, systèmes haute performance, paiements. Avantages : Très rapide, déterministe, zéro allocation. Risques : Gestion manuelle de l'échelle et des débordements (Math.addExact). Points de vigilance en production Sérialisation (JSON) : Préférer les String pour BigDecimal pour éviter la perte d'échelle. Atomicité : double n'est pas atomique ; utiliser volatile ou DoubleAdder (pour les compteurs). Tests : Toujours définir un delta ou Offset pour les tests de flottants. Bibliothèques recommandées Moneta (JSR 354) : Standard bancaire complet. decimal4j : Optimisé pour le point fixe haute performance. Apache Commons Numbers : Outils robustes pour la précision et les sommations. Typescript 7 est de sortie devblogs.microsoft.com/typescript/announcing-typescript-7-0 Performance majeure : Portage natif en Go offrant des gains de vitesse de 8x à 12x et une consommation mémoire réduite. Architecture optimisée : Utilisation du multithreading (mémoire partagée) et parallélisation native (analyse, vérification de types,émission). Nouvelles options de contrôle : Introduction des flags –checkers, –builders (parallélisation) et –singleThreaded (mode mono-cœur). Nouvel observateur de fichiers : Passage à une solution basée sur @parcel/watcher pour une meilleure réactivité et stabilité du mode –watch. Compatibilité et transition : Compatible avec les bases de code TypeScript 6.0. Utilisation du package @typescript/typescript6 recommandée pour maintenir des outils dépendants de l'ancienne API. Changements de configuration : Durcissement des défauts (ex: strict activé par défaut) et suppression de nombreuses options obsolètes (target: es5, baseUrl, etc.). Amélioration de l'expérience éditeur : Serveur de langage (LSP) plus stable avec une réduction de 80 % des erreurs et 60 % des crashs. Limitations actuelles : Support incomplet pour les frameworks utilisant des plugins de langage (Vue, Svelte, Astro, Angular) en attendant une API stable. "Java, the documentary" est sur YouTube, retraçant l'histoire du langage youtube.com/watch?v=… La vidéo n'était pas encore disponible à l'heure de l'enregistrement. Sortie officielle le 17 juillet. Avec des interviews de James Gosling, Brian Goetz, Venkat Subramaniam, et bien d'autres. Librairies What's New in 8.0 - Hibernate docs.hibernate.org/orm/8.0/whats-new L'intégration de Jakarta Persistence 4.0 apporte des nouveautés majeures comme EntityAgent (qui standardise la StatelessSession), les mappings de result set en SQL natif, et de nouvelles options de configuration de session et de requêtes (Session Creation Options, Query Options). Le support de Jakarta Data 1.1 est ajouté pour les Hibernate Data Repositories, incluant l'intégration avec les requêtes statiques JPA4, les projections @Select, et les repositories asynchrones via Jakarta Concurrency ou Hibernate Reactive. L'introduction du Graph-based Flushing remplace l'ancienne approche basée sur des heuristiques par un modèle de dépendances utilisant les contraintes relationnelles, afin d'améliorer la fiabilité des tris, la gestion des batchs et les performances globales (bien que l'ancienne méthode reste temporairement disponible). L'API ProcedureCall a été améliorée pour faciliter le casting des résultats (asResultSetOutput) et permettre la déclaration paresseuse (lazy) du mapping des ResultSet. Hibernate supporte désormais la sécurité au niveau de la ligne (Row-Level Security) de manière native pour les bases de données compatibles (PostgreSQL, Db2, SQL Server, CockroachDB) afin de gérer la visibilité en contexte multi-tenant. Une nouvelle méthode getReference() permet dorénavant de récupérer la référence d'une entité directement à partir de son natural id. Le mode Safe Mode Validator (hibernate.query.safe_mode_enabled=true) fait son apparition pour bloquer les opérations risquées comme sql(), function() ou column() dans les requêtes HQL et Criteria, ce qui est particulièrement utile pour les applications exposées aux LLMs. La gestion des associations bidirectionnelles lors de la phase de flush peut maintenant être prise en charge automatiquement par Hibernate (hibernate.bidirectionality_management=true), synchronisant la référence côté inverse de l'association. Le Subselect Fetching est considérablement amélioré, supportant dorénavant les associations "to-one" pour le bulk select fetching (au lieu de se limiter aux collections) et devenant une option de premier ordre via FetchMethod.BY_SUBQUERY. Un des papas de Cucumber et Gherkin lance Var, une alternative pour le test et le BDD var.oselvar.com Lancement de Vár : Nouvel outil de test créé pour pallier les défauts de Cucumber. Limites de Cucumber : Syntaxe Gherkin trop rigide, intégration difficile avec les exécuteurs de tests et support éditeur limité. Usage avec l'IA : Conçu spécifiquement pour vérifier que les agents IA respectent les intentions et spécifications de l'utilisateur. Fonctionnement : Utilisation du Markdown plutôt que du Gherkin ; sert à la fois de guide et d'outil de vérification. Développement assisté : Code et documentation générés en grande partie par Claude sous supervision humaine. Appel aux retours : Projet ouvert aux tests et aux critiques de la communauté. Web Une nouvelle méthode HTTP : QUERY https://kreya.app/blog/new-http-query-method-explained/ Méthode HTTP QUERY (RFC 10008) pour les recherches complexes. Problème : GET (limité par l'URL) vs POST (sémantique inadaptée). Avantages : Permet un corps de requête, sûr, idempotent et cacheable. Limites : Support infrastructurel faible, non partageable par lien, cache complexe. Usage : À réserver aux requêtes complexes si l'environnement le permet. Comment je fais du design en tant que dev backend eventuallycoding.com/p/comment-je-fais-du-design-en-tant-que-dev-backend Hugo Lassiège retrace l'évolution de son workflow de création d'interfaces en tant que développeur backend, depuis ses débuts avec Bootstrap jusqu'à l'ère de l'intelligence artificielle. L'article explique comment la structuration des éléments visuels a progressé grâce à l'Atomic Design, l'émergence des design systems et l'adoption des design tokens via un framework comme Tailwind. L'auteur détaille son processus actuel qui s'appuie fortement sur Claude Design pour générer et itérer sur des maquettes à partir d'un brief, d'un screenshot ou d'un design system de référence. Il aborde également le risque de slopification et de standardisation extrême apporté par ces outils, rappelant que si l'IA simplifie la technique, il reste crucial d'injecter de l'identité et de l'originalité pour éviter un web trop aseptisé. Data et Intelligence Artificielle De l'utilisation de SKILL.md et de "loop engineering" pour augmenter sa productivité glaforge.dev/posts/…/of-skills-and-loops-with-ai-assistance Les skills permettent d'encoder une procédure de manière répétable et automatisable Le loop engineering enlève l'humain de la boucle afin que l'agent atteigne un objectif donné de façon plus autonome Pour écrire des Codelabs (sorte de tutoriel guidé pas à pas) Guillaume a transformé une séance de création de codelab avec son agent préféré (Antigravity) en skill réutilisable pour l'écriture de ses prochains codelabs Il a également utilisé l'approche de "loop engineering" à la mode en ce moment pour que son agent IA compile, exécute, teste les instructions et le code de son codelab, pour qu'il soit complètement fonctionnel Gain estimé : passer de 2 jours de travail à moins de 2 heures ! Redeploying Claude Fable 5 anthropic.com/news/redeploying-fable-5 Anthropic a annoncé le rétablissement de l'accès à ses modèles Claude Fable 5 et Mythos 5, qui avaient été suspendus suite à des restrictions d'exportation imposées par le gouvernement américain le 12 juin 2026. Cette suspension faisait suite à un rapport d'Amazon démontrant une méthode pour contourner les garde-fous de Fable 5, lui permettant d'identifier et d'exploiter une vulnérabilité logicielle (un jailbreak). Pour y remédier, Anthropic a renforcé ses mécanismes de sécurité en déployant un nouveau classifieur capable de bloquer cette technique spécifique dans plus de 99 % des cas, acceptant en contrepartie une augmentation des faux positifs sur des requêtes bénignes. Face à l'absence de consensus sur l'évaluation des jailbreaks, Anthropic s'associe à Amazon, Microsoft, Google et d'autres partenaires pour développer un standard industriel évaluant la sévérité de ces failles selon quatre critères : gain de capacité, étendue du gain, facilité d'arsenalisation et découvrabilité. L'entreprise s'engage également à approfondir sa collaboration avec le gouvernement américain, notamment via des évaluations pré-déploiement, un partage rapide d'informations sur les failles, et des ressources dédiées à la recherche conjointe sur la sécurité de l'IA. Outillage La réécriture de Bun en Rust et la réaction du créateur de Zig bun.com/blog/bun-in-rust et andrewkelley.me/post/my-thoughts-bun-rust-rewrite.html Bun, le runtime JavaScript et TypeScript écrit à l'origine en Zig, a été entièrement réécrit en Rust pour des raisons de stabilité et de gestion de la mémoire. Cette migration massive d'un demi-million de lignes de code a été bouclée en seulement 11 jours grâce à l'utilisation intensive de Claude Code fonctionnant en parallèle, pour un coût d'API estimé à 165 000 dollars financé par Anthropic. Andrew Kelley, le créateur de Zig, a réagi publiquement en qualifiant l'ancienne base de code de Bun de "slop" remplie de hacks et de fuites mémoire accumulées par une course aux fonctionnalités. Kelley exprime son soulagement face à ce départ, expliquant que les plantages incessants de Bun devenaient un passif réputationnel toxique pour le langage Zig et sa fondation. Le rachat de Bun par Anthropic fin 2025 avait déjà mis fin aux donations financières de Bun envers la Zig Software Foundation, facilitant cette séparation. La nouvelle version Rust de Bun passe désormais la quasi-totalité des tests, réduit la taille du binaire et est déjà déployée de manière transparente en production dans Claude Code. Nouveautés de Git 2.55 github.blog/open-source/git/highlights-from-git-2-55 Support natif de FSMonitor sous Linux via inotify pour accélérer les commandes comme git status sur les grands dépôts Intégration de la compaction incrémentale MIDX (multi-pack index) dans git repack pour optimiser la réécriture des métadonnées Amélioration drastique des performances de génération des bitmaps et des pseudo-merge bitmaps lors des tâches de maintenance Nouvelle commande expérimentale git history fixup pour intégrer facilement des modifications locales dans un commit antérieur Possibilité d'exécuter des hooks configurés en parallèle pour optimiser le temps de build et de validation Utilisation d'un autostash automatique lors d'un git checkout -m en cas de conflit de fusion pour éviter de bloquer l'espace de travail Nouvelle commande git format-rev permettant de formater rapidement des commits reçus via l'entrée standard (stdin) Support du push simultané vers un groupe de remotes configuré Protection contre l'exécution de séquences de contrôle de terminal malveillantes via les flux de progression distants Vidocq, une réimplémentation souveraine et sans dépendance de Jakarta EE et Microprofile vidocq.dev/posts/vidocq-a-sovereign-jakarta-ee-and-microprofile-runtime Lancement de Vidocq : Runtime Java open source complet, compatible Jakarta EE Core Profile et Souveraineté numérique : Projet européen hébergé sur Codeberg, sous licences EUPL 1.2, EPL 2 et GPL 2.0. Standardisation totale : Implémentation fidèle des spécifications (CDI, REST, JSON, etc.), validée par 5 650 tests TCK officiels. Sécurité radicale : Zéro dépendance externe et aucune bibliothèque tierce. Aucune manipulation de bytecode à l'exécution (« magie » générée à la compilation via JDK 25). Compatible JPMS, AOT, GraalVM et Leyden CDS. Disponibilité : Projet en phase alpha, code et documentation accessibles sur vidocq.dev. Article complémentaire qui revient sur la genèse de Vidocq, en utilisant l'IA et les TCKs pour driver l'aspect spec-driven development vidocq.dev/posts/the-story-of-vidocq Le "selfware" : Guillaume s'est fait plais' en vibe-codant son propre éditeur de texte glaforge.dev/posts/…/selfware-building-my-own-text-editor-without-knowing-swift Concept de « Selfware » : création de logiciels conçus exclusivement pour soi-même, sans monétisation ni contraintes liées aux utilisateurs tiers. Le rôle de l'IA : les agents de programmation (comme Antigravity) suppriment la barrière technique de l'apprentissage des langages (Swift, APIs) pour les non-développeurs. Développement minimaliste : privilégier la performance et l'utilité directe (démarrage instantané, interface native) au détriment des fonctionnalités complexes (plugins, télémétrie, gestion de comptes). Absence de pression : libération des contraintes liées à la compatibilité, à la maintenance logicielle et aux retours utilisateurs ; le logiciel n'a besoin d'être « assez bon » que pour ses propres besoins. Incitation à l'autonomie : encourager la création d'outils sur mesure pour résoudre les frictions quotidiennes plutôt que de subir les limitations des logiciels commerciaux. Architecture Le cobol a donné un uppercut au microservices https://freedium-mirror.cfd/@maahisoft20/your-microservices-lost-to-cobol-let-that-sink-in-8ce2e236d007 Retour d'expérience sur la migration d'un système COBOL vers des microservices cloud-native qui s'est soldée par un retour en arrière après avoir constaté que le traitement batch initial était plus rapide, moins cher et plus fiable Là où le batch COBOL traitait 2.4 millions d'enregistrements en 11 minutes, le système distribué modernisé à base de message queues, retries et Kubernetes prenait 47 minutes et tombait sous la charge COBOL brille par ses caractéristiques conçues spécifiquement pour la finance comme le calcul décimal précis sans floating point errors et l'absence totale d'overhead réseau, de conteneurs ou de cold starts Rappel que distribuer un système multiplie les points de défaillance silencieux et complexifie la gestion de la cohérence transactionnelle par rapport à une exécution locale séquentielle Une invitation à se demander si les projets de décomposition en microservices apportent réellement un gain de performance de bout en bout pour l'utilisateur final ou s'ils optimisent seulement le diagramme d'architecture Méthodologies Ma meilleure question d'entretien Spring beaufume.fr/articles/spring-interview Florian beaufumé partage sa question d'entretien favorite pour évaluer des développeurs Spring de niveau intermédiaire à avancé : "Que pouvez-vous me dire sur le paramètre spring.jpa.open-in-view ?". Ce paramètre détermine l'activation du pattern Open Session In View (OSIV) qui, lorsqu'il est à true (la valeur par défaut dans Spring Boot), maintient l'un EntityManager JPA ouvert durant toute la requête HTTP. Si l'OSIV facilite le développement en évitant les fameuses LazyInitializationException lors de la sérialisation des entités en JSON, il pose d'importants problèmes de performance en provoquant des requêtes SQL non maîtrisées (comme le problème du N+1 select) en dehors de la couche service. Maintenir l'OSIV actif augmente également le temps de rétention des connexions au sein du pool de la base de données, limitant la scalabilité de l'application. La recommandation est de désactiver ce comportement en le positionnant à false, et de gérer explicitement le chargement des données requises au sein des transactions (via des DTOs, des requêtes JOIN FETCH ou des Entity Graphs) pour garder le contrôle sur les accès à la base de données. 10 points à retenir du rapport AI Engineering 2026 : The Acceleration Whiplash faros.ai/blog/ai-acceleration-whiplash-takeaways L'IA a franchi un cap et est devenue l'auteur principal du code : le taux d'acceptation du code généré est passé de 20% à 60% dans les équipes étudiées par Faros AI. La vélocité métier est bien réelle, avec une augmentation de 66% des epics livrées et une hausse de 33,7% du throughput des tâches par développeur. Ce volume cache un code churn massif (+861%), ce qui signifie qu'une quantité énorme de code est supprimée ou remplacée peu après avoir été ajoutée. La qualité en aval se dégrade fortement : les bugs par développeur ont augmenté de 54% et le nombre d'incidents par pull request a explosé de 242,7%. Le processus de code review est complètement saturé, entraînant un temps médian de relecture multiplié par cinq et une augmentation de 31,3% des PRs mergées sans aucune revue. Le système repose de plus en plus sur les développeurs seniors qui subissent une "senior engineer tax", devant relire un volume insoutenable de code à l'apparence correcte mais structurellement fragile. Contrairement à certaines hypothèses récentes de DORA, une forte maturité DevOps ne protège pas les entreprises contre cette détérioration ; le "Acceleration Whiplash" frappe de la même manière les équipes très performantes. En résumé, les outils d'IA inondent les pipelines de livraison avec un volume de code pensé pour un rythme machine, alors que les systèmes de vérification reposent toujours sur un rythme de validation humain. Loi, société et organisation Le coût d'une equipe d'engineering qui ne sait plus ce qu'elle fait dans un contexte d'augmentation de coût des coding agents https://freedium-mirror.cfd/@developer_programmer/i-spent-47-000-on-claude-code-in-90-[…]-asked-me-one-question-and-i-couldnt-answer-it-af3b203f81bb Une équipe de 8 ingénieurs a vu sa vélocité de développement exploser en utilisant Claude Code de manière intensive, jusqu'à recevoir une facture d'API salée de 47 213 $ pour seulement trois mois d'utilisation. Face à cette dépense, la question piège du CTO n'était pas sur le montant, mais sur la dépendance : "Si nous arrêtions Claude Code demain, combien de temps faudrait-il pour que notre vélocité revienne à son niveau initial ?". L'auteur s'est rendu compte qu'il était incapable de répondre car son équipe, en particulier les profils juniors, avait commencé à perdre l'habitude de concevoir et d'implémenter des fonctionnalités complexes sans l'aide permanente d'un agent. Le deuxième risque stratégique soulevé est celui de la dépendance tarifaire et du vendor lock-in : si l'outil devient une infrastructure indispensable au quotidien, l'entreprise perd tout pouvoir de négociation face aux augmentations de prix de l'éditeur d'IA. Pour éviter que l'IA ne devienne une béquille qui atrophie les compétences de l'équipe, l'article suggère de poser des limites budgétaires strictes, d'organiser régulièrement des sprints sans IA ("AI-free sprints") et de concevoir des processus de développement portables. Retour de Nicolas Delsaux sur jqwik qui donne une perspective plus complète concernant jqwik, il me semble que vous oubliez (comme tous les gens qui parlent de LLM dans "l'industrie") que l'auteur n'a pas fait ça juste pour faire chier le monde, mais parce que ces outils ont des externalités incroyablement négatives, ce dont l'auteur s'explique dans son blog (blog.johanneslink.net/2026/06/09/the-jqwik-anti-ai-affair) Vous oubliez également de signaler que le ticket (github.com/jqwik-team/jqwik/issues/708) par lequel un utilisateur se plaint de cette fonctionnalité a été écrit par un agent. N'oubliez pas non plus que l'enthousiasme pour ces technologies n'est en fait pas universel, et que ces technologies sont loin d'être inévitables (les gains de vitesse ne sont, d'après circle CI - circleci.com/resources/2026-state-of-software-delivery, pas des gains de productivité ) OkHttp, Okio, Retrofit et SQLDelight rejoignent Commonhaus ! commonhaus.org/activity/315.html La fondation Commonhaus, via une publication de Andres Almiray, annonce l'arrivée de quatre projets majeurs de l'écosystème Java et Kotlin : OkHttp, Okio, Retrofit et SQLDelight. Ces projets, initialement créés chez Square (devenu Block), sont désormais regroupés et gérés sous la bannière lysine.dev au sein de la fondation. Jesse Wilson et Jake Wharton, créateurs et mainteneurs historiques de ces outils, rejoignent Commonhaus en tant que leaders de lysine.dev. Suite à leur départ de Block, ils expliquent avoir choisi Commonhaus pour offrir à leur immense communauté d'utilisateurs un cadre de gouvernance pérenne, stable et digne de confiance. Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 28-30 août 2026 : State of the Map - Champs-sur-Marne (France) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 10-11 septembre 2026 : Nantes Craft - Nantes (France) 17 septembre 2026 : dotAI - Paris (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 18 septembre 2026 : WordCamp Bretagne - Rennes (France) 18 septembre 2026 : dotJS - Paris (France) 18 septembre 2026 : WordCamp Bretagne - Rennes (France) 22 septembre 2026 : Salon Data 2026 - Nantes (France) 22-23 septembre 2026 : Agile en Seine & IA 2026 - Paris (France) 24 septembre 2026 : aMP Day Montpellier 2026 - Montpellier (France) 24 septembre 2026 : OWASP AppSec Days France 2026 - Paris (France) 24 septembre 2026 : PlatformCon Paris - Paris (France) 24 septembre 2026 : React Native Connection 2026 - Paris (France) 24-26 septembre 2026 : Paris Web 2026 - Paris (France) 25 septembre 2026 : SAP Inside Track Paris 2026 - Paris (France) 28-29 septembre 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 2 octobre 2026 : DevFest Perros-Guirec 2026 - Perros-Guirec (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) 8-9 octobre 2026 : Forum PHP 2026 - Marne-la-Vallée (France) 12 octobre 2026 : Dev With AI - Paris (France) 22-23 octobre 2026 : Agile Tour Bordeaux 2026 - Bordeaux (France) 26 octobre 2026 : Agile Tour Montpellier - Montpellier (France) 27-29 octobre 2026 : Directions EMEA 2026 - Paris (France) 29-30 octobre 2026 : Campus Agile Grenoble - Grenoble (France) 29-30 octobre 2026 : BDX I/O 2026 - Bordeaux (France) 29-30 octobre 2026 : Agile Tour Nantais 2026 - Nantes (France) 29 octobre 2026-1 novembre 2026 : Pycon FR - Biarritz (France) 30 octobre 2026 : Cloud Nord 2026 - Lille (France) 4-5 novembre 2026 : Devoxx Morocco - Casablanca (Morocco) 14-15 novembre 2026 : Capitole du Libre - Toulouse (France) 19 novembre 2026 : DevFest Toulouse 2026 - Toulouse (France) 19 novembre 2026 : Agile Laval 2026 - Laval (France) 19 novembre 2026 : OVHcloud Summit - Paris (France) 19 novembre 2026 : Codeurs en Seine - Rouen (France) 27 novembre 2026 : DevFest Paris 2026 - Paris (France) 1-3 décembre 2026 : Apidays Paris - Paris (France) 2-3 décembre 2026 : Cloud Native AI Summit Europe - Paris (France) 4 décembre 2026 : DevFest Lyon 2026 - Lyon (France) 4 décembre 2026 : DevFest Dijon 2026 - Dijon (France) 9-10 décembre 2026 : OpenSource Expérience - Paris (France) 9-10 décembre 2026 : DevOps REX - Paris (France) 10 décembre 2026 : KCD Provence - Aix-en-Provence (France) 10 décembre 2026 : DevCon 28 : sécurité | post-quantique | hacking édition 2027 - Paris (France) 14-16 janvier 2027 : SnowCamp 2027 - Grenoble (France) 7-9 avril 2027 : Devoxx France 2027 - Paris (France) 3 juin 2027 : Cloud Native Days France 2027 - Paris (France) 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/

Este martes la acción de IBM se desplomó más de un 25% en una sola jornada. La masacre ha sido de tal calibre que ha superado incluso su anterior plusmarca, que se produjo el 19 de octubre de 1987, una fecha que ha pasado a la historia de la Bolsa como Lunes Negro. En aquel entonces IBM se hundió junto a todo el mercado, esta vez se ha hundido prácticamente sola. Unos 67.000 millones de dólares de capitalización se evaporaron en unas horas y sus directivos entraron en modo de máxima alerta . El detonante fue una simple carta. Arvind Krishna, consejero delegado de la empresa desde hace 6 años, adelantó a los inversores los resultados preliminares del segundo trimestre, algo que no estaba obligado a publicar hasta el 22 de julio, pero que decidió hacerlo una semana antes. Informaba de unos ingresos de 17.200 millones, ligeramente por encima de lo previsto, y un beneficio por acción ajustado de 2,93 dólares frente a los 3 que se esperaban. Nada especialmente llamativo de primeras, salvo por una frase concreta en la que Krishna reconocía que las cosas habían ido peor de lo previsto y de lo que él mismo había vaticinado hace solo unos meses. Krishna no hablaba de una empresa que esté perdiendo clientes, sino una empresa cuyos clientes gastan el dinero en otra cosa. Con la memoria disparada de precio, los directores de sistemas de otras empresas están priorizando la compra de memoria por encima de otros gastos de capital. Un contrato de software se puede aplazar al mes de octubre, un lote de módulos de memoria quizá ya no esté disponible o lo esté a un precio mucho mayor. El software se ha convertido así en la variable de ajuste. No se cancela su compra, se aplaza, pero el trimestre perdido está perdido para siempre. La prueba la encontramos en la cotización de empresas que se dedican a la fabricación de memoria. SK Hynix subió casi un 9% tras poner en producción su módulo HBM4 de 12 capas, Samsung y Kioxia ganaron un 6%, y ASML, que fabrica las máquinas que hacen chips, también subió. En definitiva, que cada dólar que no fue a una licencia de IBM se fue a un módulo de memoria. La cuestión es que, en contratos de software, IBM ha crecido un 5%, aproximadamente la la mitad de lo prometido. Pero lo problemático no es eso, sino que la venta de servidores se ha contraído un 7% cuando la propia compañía había previsto un 1%. IBM no tiene una crisis de costes, que podría arreglarse con un plan de ajuste, sino de demanda, algo que depende de terceros. No es, además, la primera sacudida bursátil que sufren este año. El 23 de febrero la acción cayó un 13% tras anunciar Anthropic que Claude Code podía mapear y documentar bases de código COBOL en pocas semanas. Ahí lo que peligra son las horas facturables en un negocio que aporta a IBM unos 5.000 millones cada trimestre. Otras empresas dedicadas a negocios parecidos como Workday, ServiceNow, Salesforce y Accenture también han bajado sin que ninguna de ellas publicase nota alguna. Es lo que los inversores han bautizado como “SaaSpocalipsis”, el apocalipsis de las empresas de software como servicio. IBM tiene el problema añadido de que su software va atado a su hardware. Si la tendencia persiste tendrán que tomar medidas serias, tanto como reinventarse de nuevo, algo que IBM ha hecho ya varias veces. En La ContraRéplica: 0:00 Introducción 3:57 El desplome de IBM 32:09 El cociente intelectual y las etnias 43:31 Propiedad de los videojuegos 47:53 Las consolas de Steam · Canal de Telegram: https://t.me/lacontracronica · “Contra el pesimismo”… https://amzn.to/4m1RX2R · “Hispanos. Breve historia de los pueblos de habla hispana”… https://amzn.to/428js1G · “La ContraHistoria del comunismo”… https://amzn.to/39QP2KE · “La ContraHistoria de España. Auge, caída y vuelta a empezar de un país en 28 episodios”… https://amzn.to/3kXcZ6i · “Contra la Revolución Francesa”… https://amzn.to/4aF0LpZ · “Lutero, Calvino y Trento, la Reforma que no fue”… https://amzn.to/3shKOlK Apoya La Contra en: · Patreon... https://www.patreon.com/diazvillanueva · iVoox... https://www.ivoox.com/podcast-contracronica_sq_f1267769_1.html · Paypal... https://www.paypal.me/diazvillanueva Sígueme en: · Web... https://diazvillanueva.com · Twitter... https://twitter.com/diazvillanueva · Facebook... https://www.facebook.com/fernandodiazvillanueva1/ · Instagram... https://www.instagram.com/diazvillanueva · Linkedin… https://www.linkedin.com/in/fernando-d%C3%ADaz-villanueva-7303865/ · Flickr... https://www.flickr.com/photos/147276463@N05/?/ · Pinterest... https://www.pinterest.com/fernandodiazvillanueva Encuentra mis libros en: · Amazon... https://www.amazon.es/Fernando-Diaz-Villanueva/e/B00J2ASBXM #FernandoDiazVillanueva #ibm #ia Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Este martes la acción de IBM se desplomó más de un 25% en una sola jornada. La masacre ha sido de tal calibre que ha superado incluso su anterior plusmarca, que se produjo el 19 de octubre de 1987, una fecha que ha pasado a la historia de la Bolsa como Lunes Negro. En aquel entonces IBM se hundió junto a todo el mercado, esta vez se ha hundido prácticamente sola. Unos 67.000 millones de dólares de capitalización se evaporaron en unas horas y sus directivos entraron en modo de máxima alerta . El detonante fue una simple carta. Arvind Krishna, consejero delegado de la empresa desde hace 6 años, adelantó a los inversores los resultados preliminares del segundo trimestre, algo que no estaba obligado a publicar hasta el 22 de julio, pero que decidió hacerlo una semana antes. Informaba de unos ingresos de 17.200 millones, ligeramente por encima de lo previsto, y un beneficio por acción ajustado de 2,93 dólares frente a los 3 que se esperaban. Nada especialmente llamativo de primeras, salvo por una frase concreta en la que Krishna reconocía que las cosas habían ido peor de lo previsto y de lo que él mismo había vaticinado hace solo unos meses. Krishna no hablaba de una empresa que esté perdiendo clientes, sino una empresa cuyos clientes gastan el dinero en otra cosa. Con la memoria disparada de precio, los directores de sistemas de otras empresas están priorizando la compra de memoria por encima de otros gastos de capital. Un contrato de software se puede aplazar al mes de octubre, un lote de módulos de memoria quizá ya no esté disponible o lo esté a un precio mucho mayor. El software se ha convertido así en la variable de ajuste. No se cancela su compra, se aplaza, pero el trimestre perdido está perdido para siempre. La prueba la encontramos en la cotización de empresas que se dedican a la fabricación de memoria. SK Hynix subió casi un 9% tras poner en producción su módulo HBM4 de 12 capas, Samsung y Kioxia ganaron un 6%, y ASML, que fabrica las máquinas que hacen chips, también subió. En definitiva, que cada dólar que no fue a una licencia de IBM se fue a un módulo de memoria. La cuestión es que, en contratos de software, IBM ha crecido un 5%, aproximadamente la la mitad de lo prometido. Pero lo problemático no es eso, sino que la venta de servidores se ha contraído un 7% cuando la propia compañía había previsto un 1%. IBM no tiene una crisis de costes, que podría arreglarse con un plan de ajuste, sino de demanda, algo que depende de terceros. No es, además, la primera sacudida bursátil que sufren este año. El 23 de febrero la acción cayó un 13% tras anunciar Anthropic que Claude Code podía mapear y documentar bases de código COBOL en pocas semanas. Ahí lo que peligra son las horas facturables en un negocio que aporta a IBM unos 5.000 millones cada trimestre. Otras empresas dedicadas a negocios parecidos como Workday, ServiceNow, Salesforce y Accenture también han bajado sin que ninguna de ellas publicase nota alguna. Es lo que los inversores han bautizado como “SaaSpocalipsis”, el apocalipsis de las empresas de software como servicio. IBM tiene el problema añadido de que su software va atado a su hardware. Si la tendencia persiste tendrán que tomar medidas serias, tanto como reinventarse de nuevo, algo que IBM ha hecho ya varias veces. En La ContraRéplica: 0:00 Introducción 3:57 El desplome de IBM 32:09 El cociente intelectual y las etnias 43:31 Propiedad de los videojuegos 47:53 Las consolas de Steam · Canal de Telegram: https://t.me/lacontracronica · “Contra el pesimismo”… https://amzn.to/4m1RX2R · “Hispanos. Breve historia de los pueblos de habla hispana”… https://amzn.to/428js1G · “La ContraHistoria del comunismo”… https://amzn.to/39QP2KE · “La ContraHistoria de España. Auge, caída y vuelta a empezar de un país en 28 episodios”… https://amzn.to/3kXcZ6i · “Contra la Revolución Francesa”… https://amzn.to/4aF0LpZ · “Lutero, Calvino y Trento, la Reforma que no fue”… https://amzn.to/3shKOlK Apoya La Contra en: · Patreon... https://www.patreon.com/diazvillanueva · iVoox... https://www.ivoox.com/podcast-contracronica_sq_f1267769_1.html · Paypal... https://www.paypal.me/diazvillanueva Sígueme en: · Web... https://diazvillanueva.com · Twitter... https://twitter.com/diazvillanueva · Facebook... https://www.facebook.com/fernandodiazvillanueva1/ · Instagram... https://www.instagram.com/diazvillanueva · Linkedin… https://www.linkedin.com/in/fernando-d%C3%ADaz-villanueva-7303865/ · Flickr... https://www.flickr.com/photos/147276463@N05/?/ · Pinterest... https://www.pinterest.com/fernandodiazvillanueva Encuentra mis libros en: · Amazon... https://www.amazon.es/Fernando-Diaz-Villanueva/e/B00J2ASBXM #FernandoDiazVillanueva #ibm #ia

Matt Wynne, co-creator of Cucumber and BDD practitioner, joins Joe for the first time in over a decade to talk about what two years inside a Silicon Valley AI startup taught him about the future of software testing. Matt spent time at Mechanical Orchard working alongside experienced XP practitioners to modernize legacy COBOL mainframes using LLMs, and then spent a week with the team that coined the term "software factory," where the rule was simple: humans never write the code, never read the code. In this episode, Matt breaks down what harness engineering actually means, why shared understanding is still the real bottleneck even in an agentic world, and how testers can use multiple LLMs to review AI-generated pull requests without reading every line. He also gets honest about the grief that comes with realizing you can encode years of hard-won expertise into a Markdown file, and why that does not mean your skills are worthless. If you are working in a brownfield codebase, wondering how to handle the flood of agentic PRs, or trying to figure out where testers fit in a world where agents write the code, this conversation is worth your time. Find Matt at: mattwynne.net leansoftware.ai Also check out his course: Build a Software Factory: Hands-off agentic coding for experienced engineers https://testgld.link/mattcourse

Season 2, Episode 1 explores Grace Hopper's famous nanosecond demonstration and uses it to explain latency, systems design, and why distance and architecture matter for performance. The episode also traces Hopper's work on automatic programming, Flow-Matic, and the push toward COBOL and standards—showing how she turned software into teachable, maintainable infrastructure.

Send us Fan MailJim Piazza, Chief AI Officer at Ensono, talked about how legacy mainframe systems fit into the modern AI era and explored the practical strategies large enterprises must adopt to modernize their core infrastructure. A significant number of Fortune 500 companies continue to run their most critical workloads, such as credit card transaction processing, on IBM Z and Power platforms. He categorized the path forward into two distinct buckets: operational modernization, which leverages AI to predict system faults and prevent costly outages, and business modernization, which utilizes AI services to accelerate transactions and enable real-time fraud detection. Organizations looking to modernize can choose between migrating workloads completely to the cloud, translating legacy COBOL applications into modern languages like Python, or implementing hybrid approaches that integrate existing mainframes with distributed cloud environments.Achieving success with predictive analytics and machine learning on these platforms requires a foundation of robust data engineering. Beyond software and talent constraints, Jim also highlighted the physical and economic realities of modern infrastructure. Skyrocketing power consumption from AI workloads has become the primary near-term constraint for data centers, forcing hyperscalers to invest heavily in renewable energy and advanced cooling technologies. Additionally, the lifecycle for GPU and AI hardware is shortening rapidly, driving hyperscalers toward shorter depreciation cycles. While future innovations like silicon photonics promise to materially lower cooling and energy costs, substantial CapEx savings can be realized today by optimizing software to train large models on previous-generation hardware, or by utilizing ensembles of smaller, targeted models.Positioning itself at the center of these shifting dynamics, Ensono operates as an AI-first managed services provider dedicated to modernizing large enterprise customers across both mainframe and distributed environments.

In this episode of the Finovate podcast, host Greg Palmer sits down with Caitlyn Truong, CEO and co-founder of Zengines, one of the Best of Show winners from FinovateSpring 2026.Caitlyn shares her journey from software and hardware engineering in the telecom space to consulting in financial services, where she and her co-founders identified a critical gap in data management for legacy systems. The conversation explores how Zengines addresses the challenge of understanding and managing legacy core banking applications written in older programming languages like COBOL, RPG, and PL1. With 92 of the top 100 banks running COBOL mainframe cores and over 50% of credit unions and regional banks using RPG cores, the need for comprehensive data lineage and code intelligence has never been more pressing.The discussion delves into Zengines' unique approach to solving the "black box" problem of legacy applications through contextual code intelligence. Unlike traditional data lineage tools that simply track data pathways, Zengines provides deep context and explainability by ingesting entire code bases and revealing not just what happens to data, but why and how it happens. This capability enables business analysts, data analysts, compliance teams, and technical staff to get answers in seconds rather than waiting days, weeks, or months for subject matter experts. The solution addresses three critical use cases: meeting regulatory compliance requirements, de-risking modernization and transformation initiatives, and ensuring data is AI-ready with the necessary trust and traceability.Caitlyn reflects on the positive reception at Finovate, noting how the Sherlock Holmes-themed presentation effectively communicated the concept of "shining a light into the black box." She emphasizes the immediate impact on end users, who experience dramatically faster response times and comprehensive self-service access to application information. For first-time Finovate participants, Caitlyn recommends maximizing the seven-minute demo by focusing on capturing interest and planting hooks that drive meaningful booth conversations with targeted prospects who share the same pain points. The episode concludes with insights into how Zengines' solution creates ripple effects that ultimately improve the customer experience at financial institutions.More info:Zengines: https://www.zengines.ai/; https://www.linkedin.com/company/zengines/Caitlyn Truong: https://www.linkedin.com/in/caitlyntruong/Greg Palmer: https://www.linkedin.com/in/gregbpalmer/Finovate: https://www.finovate.com; https://www.linkedin.com/company/finovate-conference-series/FinovateSpring: https://informaconnect.com/finovatespring/#Finovate #FinovateSpring #Banking #banks #creditunions #data #datalineage #corebanking #communitybanks #legacybanking #datamanagement #digitaladoption #podcast #fintechpodcast #financialservices #innovation #digitraltransformation #fintech #finserv #modernization

Links Midol - Wikipedia Use Only as Directed - This American Life Ayds 1952 advertisement - Ayds - Wikipedia Ayds Candy Commercials - YouTube Six Degrees of Joan Crawford Archive — You Must Remember This Be Kind Rewind YouTube Channel - Vulture Joan Crawford Accepts Anne Bancroft's Oscar | 1963: Pt. 1 - YouTube Casting the Women of Valley of the Dolls | PT 1 - YouTube How Carrie Fisher Blurred Fact and Fiction - YouTube Philosophy Tube - YouTube Project Farm - YouTube Every Frame a Painting - YouTube Oceanliner Designs - YouTube An Oral History of Amy Schumer's “Last Fuckable Day” Sketch | Vanity Fair Inside Amy Schumer - Last Fuckable Day (ft. Tina Fey, Julia Louis-Dreyfus, and Patricia Arquette) - YouTube 79th Annual Tony Awards Performances YouTube Playlist When Will My Life Begin? - Tangled Belle - Beauty and the Beast Part of Your World - The Little Mermaid My Shot - Hamilton Maria - West Side Story (1961)  Out There - The Hunchback of Notre Dame The Tale of Orthosomnia: I Am so Good at Sleeping that I Can Do It with My Eyes Closed and My Fitness Tracker on Me Obsessed with a perfect night's sleep? You might be making it worse Sleep perfectionists: the exhausting rise of orthosomnia | Sleep | The Guardian Navigating Chronic Insomnia In A Sleep-Obsessed Culture - YouTube

durée : 00:27:38 - Entendez-vous l'éco ? - par : Aliette Hovine - Le modèle Claude Mythos, mis au point par la société Anthropic, est capable de déceler les vulnérabilités logicielles avec une vitesse et une précision inédites. Alors que l'IA rend la pratique du hacking bien plus accessible, un nouveau marché du cyber-risque émerge. - réalisation : Tina Iung, Sorj Leroy - invités : Yamina Tadjeddine économiste et professeure d'économie à l'Université de Lorraine, Akram Azzam Chef du pôle cybersécurité, data privacy et intelligence artificielle chez Sia Partners Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Visite o site da Escola de IA da PUC Paraná e garanta 35% de desconto para ouvintes do RESUMIDO com o cupom RESUMIDO35: https://tinyurl.com/4r338462--Aproveite os descontos da Insider Store com o cupom RESUMIDO: ⁠⁠⁠⁠⁠⁠https://creators.insiderstore.com.br/RESUMIDO⁠⁠⁠⁠⁠Grupo oficial da Insider no WhatsApp com Flash Promos: ⁠https://creators.insiderstore.com.br/RESUMIDOWPPBF⁠--RESUMIDO #365, apresentado por Bruno Natal--Um engenheiro criou seu próprio algoritmo para escapar dos algoritmos das plataformas. Pessoas mentem mais para IAs do que para humanos, pela ausência de pressão social. O LinkedIn anunciou que vai remover posts gerados automaticamente.A automação é inevitável?No RESUMIDO #365: pessoas mentem mais para IA do que para humanos, Anthropic pede bênção do Vaticano, engenheiro foge dos algoritmos com outro algoritmo, livro publicado entupido de citações inventadas por IA, COBOL aposentado volta a ser disputado, Spotify premia fã com ingresso, robô perde contrato por pressão de funcionários, OpenAI prepara IPO após derrota judicial e muito mais!-- Loja RESUMIDO (camisetas, canecas, casacos, sacolas): ⁠https://www.studiogeek.com.br/resumido⁠ -- Faça sua assinatura! ⁠https://resumido.cc/assinatura⁠ 

An airhacks.fm conversation with Arun Gupta (@arungupta) about: learning Basic, Pascal, COBOL and C in college, early Java applets connecting to databases via JDBC, joining Sun Microsystems in March 1999 as an RMI/CORBA test engineer, the Portable Object Adapter and IIOP wire protocol, RMI-IIOP for language interoperability, J2EE 1.2 alpha release, JAX-B and JAX-RS testing, J2EE technologies migrating into Java SE, GlassFish as the open-source reference implementation, growing GlassFish downloads from zero to five million in three years, OSGi modularization in GlassFish V3, single-jar Java EE deployment, the Sun Grid early cloud attempt, the Sun Cloud REST API designed by Tim Bray, Red Hat JBoss technical marketing, recording an early docker screencast at Red Hat, Couchbase and the move to Amazon, principal open source technologist role, making Amazon join CNCF, launching Amazon Corretto with James Gosling at Devoxx Belgium 2019, the corretto name meaning coffee with liquor, Apple Open Source Program Office and the internal Apple openJDK fork used across Apple Music and Siri, Intel VP of Open Ecosystem, joining JetBrains as VP of Developer Experience, the book Fostering Open Source Culture, MineCraft Modding with Forge co-authored with his son who keynoted JavaOne at age 10, Devoxx4Kids in the US with over 200 workshops and 5000 kids taught, the not-invented-here syndrome, the conference program committee bias toward new topics, normative JSR specifications using must, shall and must not as a basis for LLM code generation, TCK and reference implementation model, Quarkus modernization of legacy J2EE applications, AGENTS.md and skill files on top of coding agents, running and weight training for mindfulness. Arun Gupta on twitter: @arungupta

In this episode of the Mainframe Connect podcast's I Am a Mainframer series, J.J. Lovett, Lead for Education and Customer Engagement at Broadcom Mainframe Division, shares his journey from CA Technologies customer advocacy to leading Mainframe Open Education, Vitality programs, and practitioner engagement at events like SHARE and IDUG.J.J. tackles the mainframe skills gap head-on, explaining why it's both a navigation challenge (knowing where to find talent) and a time gap (2-4 years to master sysprog/admin roles). He highlights shifting demographics—millennials and Gen Z now dominate BMC surveys—and how Broadcom addresses this through student user groups, mentorship, and open source integration with projects like Zowe and COBOL."The mainframe isn't a job, it's a career" – J.J. advises college grads: start with z/OS Explore, embrace risks, and recognise mainframe's extensibility through APIs. He shares his vision for proactive succession planning and a future where mainframe experience makes technologists more versatile across IT.Celebrating Military Appreciation Month – J.J. represents military veterans bringing discipline and leadership to mainframe education and customer success during May's Military Appreciation Month.#mainframe #IamaMainframer #OpenSource #Broadcom #MainframeSkills #MilitaryAppreciationMonth #podcast #openmainframeproject #LinuxFoundation #StevenDickens #MainframeConnect #Careers #Zowe

In this episode, Dave and Jamison answer these questions: Should I declare my struggle with this AI world we live in here? Nah. I mean, I'd like the hype to die down, a lot, but we keep getting new tools and I get to experiment, so here we are. My real struggle, and this podcast is implicated in it, is around non-technical people contributing to production systems. Why are we so obsessed with this idea? COBOL tried it. Low-code and no-code tried it. BDD and Gherkin aspire to it. Yet time and again the field demonstrates that you need people who know their stuff. To “democratize” software engineering implies that all people have the desire and ability to become software engineers. That premise is false. You democratize access to education or financial systems, the stock market say. You don't democratize skill. Skills are earned. We would never, I hope, democratize bridge engineering or piloting an aircraft. Software engineers are just as critical as either. When our software breaks, money goes missing, electrical grids fail, information stops flowing. What I do think is great: now more than ever, as long as tokens stay cheap, people have more ability to build useful tools for themselves. But here is how I think about it. We have done tremendous work on literacy, and most people can read, but not everyone is an author. The same applies to code. anon e mouse asks, Should I share my tools? I keep building small local software tools to better test and debug the application I'm working on. The problem is that whenever I go “above and beyond” the assigned and expected work and try and responsible check it into version control and share it with the rest of the team, it gets bogged down in code reviews because it doesn't meet the team lead's vision because it wasn't part of the vision! Once I go through that process though, it's mostly appreciated, but the team lead is under a lot of business pressure and often mentions that we need to focus. Maybe I'm not focused enough, but many of these little tools are things that making verification and delivery much smoother! Like local testing utilities to verify and sample api endpoints that otherwise could only be called after prod deployments due to a lack of test data. Our partners like when we're able to show the output before deployment, and the rest of the team usually struggles with that. I feel a pressure to hide my tools, but then I feel sloppy for having a bunch of useful tools outside of version control. These are things like formatting output, running experiments, testing data for variations. Am I unfocused or just bad at articulating the value of these tools?

Scott talks with Skyla Loomis, General Manager of IBM Z Software, about the ongoing relevance of mainframes in 2026. They discuss the enduring power of mainframes, how generative AI is transforming COBOL modernization, and why enterprise infrastructure still runs on IBM Z. Skyla shares insights on developer experience, compliance challenges, and the misconceptions about mainframe technology in a cloud-native world.

Enrique Ibarra, CIO and Head of Business Transformation at GNP, Mexico's largest insurance company, walks through an enterprise-scale pilot of autonomous software development involving roughly 1,000 internal and external developers. The episode examines how agentic AI changes developers' roles from creators to editors and orchestrators.In CXOTalk episode 918, Ibarra explains why AI co-pilots alone were insufficient to modernize a 20-year-old mainframe system, how GNP evaluated the Blitzy autonomous development platform across four real-world use cases, and how developer roles are shifting from creators to editors and orchestrators. The episode covers legacy modernization, enterprise AI adoption, change management, measurable results, and the two-year roadmap to retool the full engineering organization.YOU'LL DISCOVER✅ The CIO's phased human-in-the-loop playbook: target high-effort, low-risk friction points first (documentation, test suites, version upgrades)✅ Measured outcomes: 5 to 10X engineering velocity, near-100% autonomous completion on language upgrades, roughly 80% on frontend modernization✅ Why GNP's 20-year-old mainframe system forced a modernization decision tied to cost and the coming COBOL talent shortage✅ How the pilot was structured across four use cases: Java 8 to Java 21 migration, Angular frontend upgrade, new feature build, and security vulnerability remediation✅ Why autonomous platforms differ from co-pilots, and when to use each (Blitzy for heavy lifting, IDE-based co-pilots for the final 20%)✅ How to encode technical, security, and architectural guidelines as prompt inputs rather than post-hoc review✅ The change management approach that converted skeptical developers into active users within weeks✅ Strategic payoff: shipping new insurance products in weeks rather than months, and shifting IT from maintaining the business to dictating market paceTIMESTAMPS0:00 Introduction and headline results0:39 Why GNP needed to modernize a 20-year-old mainframe system1:15 From coding co-pilots to an autonomous platform2:36 Designing the four-use-case pilot4:26 Autonomous platforms versus vibe coding5:49 What autonomous development means in practice7:24 Encoding security and governance as prompt inputs8:24 Results: velocity, autonomy rates, and the final 20%10:16 How developer roles and daily work change11:19 Managing developer skepticism and change resistance12:25 Advice for CIOs: the phased human-in-the-loop playbook13:34 Strategic business benefits and first-to-market product launches14:58 Rolling out across seven teams and a two-year horizon16:34 Final advice for engineering leaders getting started

The most experienced person in your organization is leaving. Maybe they're retiring. Maybe they're quitting. Maybe they've been quietly pushed toward the door because their salary line looked tempting in a budget meeting. Doesn't matter. They're going. And they didn't write any of it down. How long does your organization take to recover? Six months? A year? Or does it never quite recover, the way most organizations never quite do? In episode two of Five Shades of Grey — a five-part limited series within Leadership NOW — Dan Pontefract takes on what he calls the experience conundrum, drawing from his sixth book, "The Future of Work Is Grey." Why NASA nearly forgot how to go to the Moon. Why state governors begged retired COBOL programmers to come back during the pandemic. Why Michael Polanyi's 1966 observation — we know more than we can tell — has become the most expensive sentence in modern management. Why the wisdom your AI tools cannot replace is the wisdom walking out your door right now. And why your chatbot will not save you. Tacit knowledge is perishable. So is the window to capture it. Five Shades of Grey is a five-part limited series.

Podcast: PrOTect It All (LS 27 · TOP 10% what is this?)Episode: Cyber Risk in Construction: Securing AEC Projects in a Digital, AI-Driven WorldPub date: 2026-04-27Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationConstruction sites are no longer just physical - they're digital, connected, and increasingly vulnerable. In this episode of Protect It All, host Aaron Crow sits down with Lee Carsten to explore the rising cyber risks across the architecture, engineering, and construction (AEC) industry. As digital transformation accelerates - with AI, digital twins, and connected building systems becoming standard - construction projects are expanding their attack surface in ways many organizations don't fully understand. Aaron and Lee unpack the unique challenges facing AEC environments, from fragmented systems and evolving workflows to the growing need for integrating cybersecurity into business decisions - not just IT functions. You'll learn: Why construction and infrastructure projects are becoming prime cyber targets How digital transformation and AI are reshaping risk in AEC environments The role of building management systems (BMS) and OT in modern projects Why foundational controls and human awareness still matter most How to align cybersecurity with real-world construction workflows Practical strategies to build resilience into projects from day one Whether you're in construction, engineering, IT, or OT security, this episode delivers real-world insights to help you protect the infrastructure we rely on every day. Tune in to learn how to secure modern construction in a connected world - only on Protect It All. Key Moments:  05:39 Importance of interpersonal skills 08:08 Construction security and recent projects 11:46 Challenges in AEC industry adoption 19:30 Importance of disaster recovery 20:31 Discussing costs of business interruptions 24:06 RFP process and bid management 27:25 Complexity of building projects 32:02 FBI investigation triggers and readiness 36:55 Managing complex building assets 39:37 Choosing durable equipment and future tech 42:01 Understanding OT data for security About the guest :  Lee Carsten's journey in technology began in the era of punch cards - painstakingly sorted and fed into compilers, where a single fumble could mean hours' worth of work undone. Lee studied COBOL in college, envisioning a future as a programmer. That path nearly led to Walmart, where Lee's mother worked on the company's pioneering buyer decision support system under Randy Mott. While the family connection and an offer from Kevin Turner to join a new team were tempting, Lee ultimately decided against moving to Bentonville and working for $18,000 annually. This early exposure to large-scale business technology, combined with pivotal career choices, shaped Lee Carsten's perspective on IT and the evolving world of software development. How to connect Lee: https://www.linkedin.com/in/leecarsten/ Website: https://whitecaprisk.com/ Connect With Aaron Crow: Website: www.corvosec.com  LinkedIn: https://www.linkedin.com/in/aaronccrow Learn more about PrOTect IT All: Email: info@protectitall.co  Website: https://protectitall.co/  X: https://twitter.com/protectitall  YouTube: https://www.youtube.com/@PrOTectITAll  FaceBook:  https://facebook.com/protectitallpodcast To be a guest or suggest a guest/episode, please email us at info@protectitall.co Please leave us a review on Apple/Spotify Podcasts: Apple   - https://podcasts.apple.com/us/podcast/protect-it-all/id1727211124 Spotify - https://open.spotify.com/show/1Vvi0euj3rE8xObK0yvYi4The podcast and artwork embedded on this page are from Aaron Crow, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Patrick Moorhead and Daniel Newman break down a massive week in enterprise tech, from Google Cloud Next's full-stack AI push and Amazon's $100 billion Anthropic commitment, to Apple's leadership transition and Intel's long-awaited foundry validation courtesy of Elon Musk. The handpicked topics for this week are: Google Cloud Next 2026: Full-Stack AI and New TPUs — Google Cloud Next has cemented itself as the second-biggest AI event on the calendar, with Thomas Kurian declaring the proof-of-concept era over and enterprises now in full production mode with agents. Google unveiled two next-generation TPUs (the 8i for training and the 8t for high-throughput inference) and reinforced its full-stack differentiation from infrastructure through Gemini Enterprise Workspace. (The Decode) Google's Agentic Security and MCP Push — Google made a significant move into agentic security, combining Wiz and Mandiant into what Pat calls a sleeper announcement of the show. Google also committed to placing MCP servers across all of its data surfaces, meaning even non-Google platforms can tap into Google data without full lock-in. (The Decode) Google Distributed Cloud and On-Prem Agentic Orchestration — Google took the biggest first step Patrick has seen toward a true agentic orchestrator that spans on-prem enterprise and public cloud through progress on Google Distributed Cloud. No other company has yet attempted cross-environment agent coordination at this level. (The Decode) Amazon's $100 Billion Anthropic Commitment — Amazon formalized a commitment of up to $100 billion into Anthropic, including five gigawatts of Trainium capacity, making it the largest non-NVIDIA silicon commitment in history. Anthropic's valuation crossed $1 trillion just weeks after a $350 billion raise, a pace that has left even veteran analysts searching for new language. (The Decode) Adobe Summit 2026: Enterprise Agents and Jensen's Endorsement — Jensen Huang took the stage at Adobe Summit to deepen the NVIDIA-Adobe partnership, calling agentic workflows the new front end for SaaS rather than a replacement for it. Adobe reported $250 million in Firefly ARR and 45% quarter-over-quarter growth in agentic tool usage, yet the stock continued to disappoint investors expecting hypergrowth multiples. (The Decode) Apple's New CEO: John Ternus and Tim Cook's Legacy — Apple named John Ternus as its fourth CEO, closing the book on Tim Cook's 15-year tenure marked by custom silicon success, services expansion, and operational excellence, alongside misses in Vision Pro, the abandoned car project, and Siri's failure to become the AI front end it should have been. Ternus is a continuity hardware candidate, and the most consequential decision may prove to be keeping Johny Srouji over all of hardware. (The Decode) Intel Foundry: Elon Musk, TerraFab, and 14A Validation — One day before Intel's earnings print, Elon Musk publicly confirmed TeraFab will use Intel's 14A process, delivering the first verifiable public wafer commitment on that node. Intel then reported a 23% stock surge, 22% data center growth, and EPS of $0.29 against a $0.01 street consensus. (The Decode) The Flip: TSMC vs. Semiconductor Equipment Makers — Pat and Dan take hard opposing stances on who holds more power in the AI supply chain: TSMC with its control of over 90% of advanced AI silicon and irreplaceable process expertise, or the equipment oligopoly of ASML, Applied Materials, LAM, and KLA without whom no leading-edge fab can operate. The real answer, they conclude, is deep interdependence, though TSMC's combination of talent and leading-edge control gives it outsized leverage today. (The Flip) Intel — Intel's earnings were a blowout across the board, with data center up 22%, EPS of $0.29 versus a $0.01 estimate, and guide raised, driven by CPU price increases, customer pull-ins, and packaging volume growth. Hosts discuss whether the stock at current levels is pricing in foundry revenue that has barely begun to materialize on the tape. (Bulls and Bears) GE Vernova and Vertiv — GE Vernova posted a beat on revenue and EPS with orders up 71% organically and a $163 billion backlog, while Vertiv reported sales up 30% and raised forward guidance to $14 billion. Both companies reflect the acute power infrastructure demand tied to data center buildout, with Patrick noting their growth was likely already baked into share prices heading into the print. (Bulls and Bears) ServiceNow — ServiceNow beat across the board with a Rule of 57 growth result and AI run rate up to $1.5 billion, 50% above its prior target, though margin headwinds from three acquisitions and on-prem impacts from the Middle East conflict weighed on sentiment. Daniel argues the market has not yet accepted that workflow automation at enterprise scale will not be replaced by vibe-coded alternatives. (Bulls and Bears) IBM — IBM posted a triple beat with Red Hat up 13%, software up 11%, and Z mainframe up 48%, the latter driven in part by AI-assisted COBOL modernization tools making the platform newly relevant. The stock slid after hours despite the results, continuing a pattern Patrick describes simply as silly season for enterprise infrastructure names. (Bulls and Bears) SAP — SAP beat on revenue and earnings with cloud revenue up 19%, cloud backlog up 20%, and total backlog up 25%, reinforcing that enterprise ERP customers are not moving away from core platforms. Daniel and Patrick agree this is another data point showing enterprises are building AI on top of existing software stacks, not tearing them out. (Bulls and Bears) The Decode Google Cloud Next 2026 — TPU 8 Dual-Architecture and the Agentic Enterprise Stack https://cloud.google.com/blog/topics/google-cloud-next/welcome-to-google-cloud-next26 https://oplexa.com/google-cloud-next-2026/ https://www.itpro.com/cloud/cloud-computing/google-cloud-next-2026-googles-unique-advantages https://thenextweb.com/news/google-inference-chips-nvidia-challenge-supply-chain Amazon Commits Up to $25B More in Anthropic; $100B+ AWS Commitment in Return https://www.cnbc.com/2026/04/20/amazon-invest-up-to-25-billion-in-anthropic-part-of-ai-infrastructure.html https://www.nytimes.com/2026/04/20/technology/amazon-anthropic-investment.html https://www.geekwire.com/2026/amazon-doubles-down-on-anthropic-with-25b-investment-mirroring-its-openai-cloud-deal/ https://futurumgroup.com/insights/anthropics-gigawatt-scale-tpu-deal-with-broadcom-creates-a-structural-advantage/ Adobe Summit 2026 — CX Enterprise, Creative Agent, and Jensen Huang Onstage https://www.cxtoday.com/ai-automation-in-cx/adobe-summit-2026-cx-announcements/ https://www.cmswire.com/digital-experience/nvidia-ceo-jensen-huang-told-the-saas-world-agentic-is-here-adobe-was-listening/ https://www.techradar.com/pro/live/adobe-summit-2026 https://futurumgroup.com/insights/will-adobes-brand-visibility-solution-rewrite-the-rules-of-ai-driven-customer-experience/ https://www.linkedin.com/posts/patmoorhead_adobesummit-googlecloudnext-ai-activity-7451754772128514048-0BwK Apple CEO Transition — Tim Cook to Executive Chairman, John Ternus to CEO https://www.apple.com/newsroom/2026/04/tim-cook-to-become-apple-executive-chairman-john-ternus-to-become-apple-ceo/ https://www.facebook.com/HBR/posts/on-monday-april-20-2026-apple-announced-that-tim-cook-will-step-down-as-ceo-in-s/1324436846218173/ https://www.apple.com/newsroom/2026/03/introducing-apple-business-a-new-all-in-one-platform-for-businesses-of-all-sizes/ Intel Foundry Lands Tesla for Terafab on 14A — First External 14A Customer, and a Direct Shot at the TSMC Bottleneck https://www.reuters.com/business/autos-transportation/tesla-ceo-musk-says-company-plans-use-intels-14a-process-terafab-2026-04-22/ https://www.trendforce.com/news/2026/04/23/news-intel-tapped-as-tesla-wins-first-14a-customer-spot-in-terafab-push/ https://www.benzinga.com/markets/equities/26/04/51992031/musk-bets-on-intels-14a-process-tesla-stock-falls-on-capex-plans https://www.cnbc.com/2026/04/23/intel-earnings-q1-2026.html The Flip Who has more power in the AI chip supply chain — TSMC (the fabricator) or the equipment companies (ASML, Applied Materials, Lam, KLA)? FOR: TSMC is the single choke point for every leading-edge AI chip in production https://www.cnbc.com/2026/04/16/taiwan-semi-tsm-asml-stock-earnings-ai-chips.html TSMC's pricing power shows up directly in its gross margins — and customer behavior https://leverageshares.com/en-eu/insights/why-asml-and-tsmcs-q1-2026-results-didnt-stir-markets/ TSMC is now a systems integrator — CoWoS packaging is the real moat, not just lithography https://sterlites.com/blog/ai-supply-chain-2026-tsmc-asml-asic AGAINST: ASML is the single point of failure for every advanced node on the planet  https://sterlites.com/blog/ai-supply-chain-2026-tsmc-asml-asic Applied Materials, Lam Research, and KLA control the etch, deposition, and metrology steps every fab needs https://finance.yahoo.com/markets/stocks/articles/dear-lam-research-investors-mark-154010553.html The equipment oligopoly has better margin structure and less concentration risk than TSMC https://www.cnbc.com/2026/04/16/taiwan-semi-tsm-asml-stock-earnings-ai-chips.html Bulls & Bears Intel Q1 2026 — Huge Beat and Q2 Guide Raise; Data Center +22%, Stock +16% After Hours https://www.cnbc.com/2026/04/23/intel-earnings-q1-2026.html https://seekingalpha.com/news/4578382-intel-q1-2026-beat-guidance-raise-stock-surges https://www.nasdaq.com/articles/intel-reports-net-loss-q1-2026 Veritiv & GE Vernova Q1 2026 — AI Power Trade Reports a Massive Beat https://www.investing.com/equities/ge-vernova-llc-earnings https://www.techi.com/ge-vernova-vertiv-ai-data-center/ ServiceNow Q1 2026 — Strong Beat and Raise, But Middle East Deal Delays Crater the Stock https://newsroom.servicenow.com/press-releases/details/2026/ServiceNow-Reports-First-Quarter-2026-Financial-Results/default.aspx https://www.cnbc.com/2026/04/22/servicenow-now-earnings-q1-2026.html https://www.businessinsider.com/servicenow-ceo-dismisses-ai-threats-parlor-tricks-2026-4 IBM Q1 2026 — Beat on Top and Bottom; Mainframe Surge, Guidance Unchanged Sends Stock Lower https://www.streetinsider.com/PRNewswire/IBM+RELEASES+FIRST-QUARTER+RESULTS/26351381.html https://www.briefs.co/news/ibm-q1-2026-earnings-guidance/ https://seekingalpha.com/news/4578381-ibm-signals-5-percent-2026-revenue-growth-and-about-1b-higher-free-cash-flow-while-keeping https://www.barrons.com/articles/software-stock-selloff-ibm-earnings-servicenow-salesforce-665a8f73 SAP Q1 2026 — Beat on Cloud; Backlog €21.9B (+25% cc), Operating Profit +17% https://www.prnewswire.com/news-releases/sap-quarterly-statement-q1-2026-302752280.html https://www.gurufocus.com/news/8813611/sap-se-sap-reports-strong-q1-earnings-with-revenue-growth https://www.globalbankingandfinance.com/sap-reports-17-rise-first-quarter-profit/ Want the full breakdown from the ground at Google Cloud Next? Check out our live coverage: https://www.sixfivemedia.com/our-events/google-cloud-next-2026 Be part of our community — hit that subscribe button and let us know if you'd like us to go back to Friday drops.  

What if the country that trains the world's engineers finally built the infrastructure to match its talent? In this episode of Eye on AI, Craig Smith sits down with Amith Singhee, Director of IBM Research India and CTO of IBM India and South Asia, to explore where India actually stands in the global AI race and what it will take to close the gap. Amith gives an honest, ground-level assessment of why India has been slow to compete. The talent has always been there. But until recently, the investment, the compute infrastructure, and the institutional intent hadn't come together in a sustained, coordinated way. That's changing, and Amith explains exactly what's different now. He walks through IBM Research India's 27-year presence in the country, the research it's doing on foundation models, hybrid cloud AI deployment, agentic systems, and quantum computing. He also explains why building AI from India doesn't just help India. Working with less data, less compute, and more linguistic diversity forces better engineering and makes IBM's models more generalizable for the entire world. We also get deep into the technical frontier. Why catastrophic forgetting is one of the key unsolved problems standing between current AI and anything more capable. How IBM is already shipping continual learning in practice through its COBOL modernization tools, helping enterprises decode decades of legacy code before the engineers who wrote it are gone. And why agentic AI, for all the hype, still has a mountain of unglamorous enterprise engineering left to climb before it becomes truly reliable. Plus, what Amith would tell an 18-year-old engineer in India today about what skills will actually matter in an AI-driven world. Subscribe for more conversations with the people shaping the future of AI and emerging technology.   Stay Updated:  Craig Smith on X: https://x.com/craigss  Eye on A.I. on X: https://x.com/EyeOn_AI   (00:00) Introduction and Amith Singhee's Background  (06:26) Why IBM Set Up Research in India  (11:45) Can India Compete in AI  (15:18) How IBM Collaborates With Indian Universities  (19:25) Why India Has Been Slow in AI  (24:50) IBM's Hybrid Cloud AI Research Focus  (27:34) How Data Scarcity in India Makes Better AI  (31:18) Fine-Tuning Models Without Losing General Knowledge  (35:03) Continual Learning and Catastrophic Forgetting  (38:25) COBOL and Legacy Code Modernization  (42:11) Agentic AI Hype vs Enterprise Reality  (48:09) What Young Engineers Should Study Today   

Nikhyl Singhal is the founder of The Skip, a community for senior product leaders; a former product exec at Meta, Google, and Credit Karma; and a many-time founder. He's also one of the most honest, unfiltered voices on what's actually happening in product management right now.In our in-depth conversation, we discuss:1. Why the next two years will be the most chaotic period in product management history2. Why half of current product managers are at risk, and what separates those who'll do well3. Why you need to find your “moments of joy” with AI4. The “smiling exhaustion” he's seeing across the product community5. The psychological barriers that prevent people from reinventing themselves6. Why your resume's fancy logos matter less than ever, and what matters now7. His prediction that companies will shed 30,000 people and rehire 8,000—all AI-first—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Nikhyl Singhal:• LinkedIn: https://www.linkedin.com/in/nikhyl• X: https://x.com/nikhyl• Podcast & Newsletter: https://skip.show• Skip Community: https://skip.community• Skip Coach: https://skip.coach• Skip.help: https://skip.help—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nikhyl Singhal(02:25) The big picture: what's changing for product managers(10:00) Are product leaders doing better than 2-3 years ago?(11:44) What will change in the next couple of years(14:23) How companies are changing the way they build products(15:51) What “judgment” really means for PMs(17:46) Why there won't be any more bad software(20:25) The skills you need to be effective today(23:31) Why there are more PM roles than ever(24:27) The builder versus information-mover divide(30:14) The non-builder problem(30:53) Should PMs code?(34:15) Why experienced leaders still matter(35:44) The diversity setback nobody's talking about(37:21) Why your brand doesn't matter as much anymore(39:54) How valued skills are flipping upside down(40:49) Why change is so hard for humans(43:53) The “equal disappointment” algorithm(46:39) You must cross the threshold(48:37) This chaos will settle(53:19) Finding your moment of joy(58:50) Nikhyl's AI stack and what he's building(1:00:53) The obsolescence mindset(1:05:24) Specific advice for PMs right now(1:08:58) The four jobs that will exist in the future(1:11:59) Why alignment is changing (but not disappearing)(1:15:40) How engineering is changing even more than PM(1:17:04) The surprising design plateau(1:18:49) Finding optimism in the chaos(1:21:12) Lightning round—Referenced:• Building a long and meaningful career | Nikhyl Singhal (Meta, Google): https://www.lennysnewsletter.com/p/building-a-long-and-meaningful-career• COBOL: https://en.wikipedia.org/wiki/COBOL• United Airlines: https://www.united.com• State of the product job market in early 2026: https://www.lennysnewsletter.com/p/state-of-the-product-job-market-in-ee9• Head of Growth (Anthropic): “Claude is growing itself at this point” | Amol Avasare: https://www.lennysnewsletter.com/p/anthropics-1b-to-19b-growth-run• Demis Hassabis on X: https://x.com/demishassabis• Sam Altman on X: https://x.com/sama• Dario Amodei on X: https://x.com/DarioAmodei• Cross on Prime Video: https://www.amazon.com/Cross-Season-1/dp/B0D6X7ZZHC• Jack Ryan on Prime Video: https://www.amazon.com/Tom-Clancys-Jack-Ryan/dp/B0CNDCMN8R• 24 on Prime Video: https://www.amazon.com/24-Season-1/dp/B000HPF85A• Claude Code: https://code.claude.com• Codex: https://chatgpt.com/codex• Lovable: https://lovable.dev• Sonos: https://www.sonos.com• “There are only four jobs” on X: https://x.com/yrechtman/status/2039012253341495462• Paradise on Hulu: https://www.hulu.com/series/paradise-2b4b8988-50c9-4097-bf93-bc34a99a5b4f• Lioness on Paramount+: https://www.paramountplus.com/shows/lioness• Tesla: https://www.tesla.com• Albert Einstein's quote: https://www.goodreads.com/quotes/115696-genius-is-1-talent-and-99-percent-hard-work—Recommended books:• James: https://www.amazon.com/James-Novel-Percival-Everett/dp/0385550367• The Adventures of Huckleberry Finn: https://www.amazon.com/Adventures-Huckleberry-Finn-Unabridged-Uncensored/dp/195483943X—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

The just-in-time Iranian ‘ceasefire’ looks more like a Mexican standoff – or worse, Artemis II is not what you think, and El Presidente is issuing Donald Bucks. All this and more, on today’s RWR. Links Videos / Clips [x] = Played [x] Lucifer Has a NASA Moon Mission named Artemis. Here’s What They’re Hiding. [x] THE SIX BILLION DOLLAR MAN | Official Promo WATCH: Will the Two-Week Iran Ceasefire Deal Hold? Mehdi Asks the Experts If Americans Knew YouTube channel – videos Headlines [x] = Mentioned / Discussed Iran Ceasefire Mexican Standoff [x] Iran sets strict terms for ships crossing Hormuz after ceasefire | The Street [x] TACO Trade Is Back As Oil Falls, Stocks Rally on US-Iran Ceasefire | Business Insider [x] TACO Trade Has Replaced Trump Trade. Inside the Stock Market’s New Meme. | Business Insider [x] Iran eyes ‘true friend' China as security guarantor. Chinese analysts are not so sure | South China Morning Post [x] The shipping superpower that says it won't negotiate Hormuz passage as a matter of principle | The Independent [x] Iran threatens to ‘destroy’ ships that pass through Strait of Hormuz — despite cease-fire pact | NYPOST US and Iran both declare victory as ceasefire is agreed | Reuters [x] Israel backs Trump’s two-week pause on Iran strikes, says Lebanon excluded | Reuters Iran war live: Israel continues to attack Lebanon and Tehran strikes Kuwait after US-Iran ceasefire agreed | Reuters AI / Data Centers Elon Musk seeks ouster of OpenAI CEO Sam Altman as part of lawsuit | CNBC Anthropic Says Its Latest AI Model Is Too Powerful to Be Released | Business Insider Maine Is Close to Passing a Moratorium on New Datacenters | 404 Media AI Helped Spark a Quantum Breakthrough. The World ‘Is Not Prepared’ | TIME Artemis II [x] NASA’s Moon Mission Is A Total Failure, And A Complete Embarrassment | GIANT FREAKIN ROBOT El Presidente [x] Donald Trump reveals plans to run for president in another country | Tyla [x] Fact Check: Trump said he’ll run for president of Venezuela | Yahoo! News [x] Trump said he’ll run for president of Venezuela | Snopes.com | Snopes Donald Bucks [x] Donald Trump becomes first sitting president to break 165-year dollar bill tradition | Tyla [x] What Trump’s signature may look like on US currency | The Hill [x] Treasury Announces President Donald J. Trump's Signature to Appear on Future U.S. Paper Currency | U.S. Department of the Treasury [x] Treasury will put Trump’s signature on dollar bills | USA TODAY [Turns out; maybe not, eh...?] Robert Kiyosaki: Donald Trump Just ‘Fired the Marxist Fed’ To Make America the Crypto Capital | Yahoo! Finance Miscellany [x] Trump’s Ex-Pal Drops Bomb About Ivanka & Jared Kushner’s Relationship | Nicki Swift [x] Wireless Festival canceled after Kanye West travel ban | USA TODAY Inside a rare collection of 10,000 concerts, from Nirvana to Björk | AP News A new Texas public schools reading list draws overflow crowd to meeting | AP News The Rest [x] = Mentioned / Discussed “A whole civilization” (Apr 7, 2026) C-SPAN Word for Word A whole civilization will die tonight, never to be brought back again. I don't want that to happen, but it probably will. However, now that we have Complete and Total Regime Change, where different, smarter, and less radicalized minds prevail, maybe something revolutionarily wonderful can happen, WHO KNOWS? We will find out tonight, one of the most important moments in the long and complex history of the World. 47 years of extortion, corruption, and death, will finally end. God Bless the Great People of Iran! – @realDonaldTrump (Apr 07, 2026, 6:06 AM) Based on conversations with Prime Minister Shehbaz Sharif and Field Marshal Asim Munir, of Pakistan, and wherein they requested that I hold off the destructive force being sent tonight to Iran, and subject to the Islamic Republic of Iran agreeing to the COMPLETE, IMMEDIATE, and SAFE OPENING of the Strait of Hormuz, I agree to suspend the bombing and attack of Iran for a period of two weeks. This will be a double sided CEASEFIRE! The reason for doing so is that we have already met and exceeded all Military objectives, and are very far along with a definitive Agreement concerning Longterm PEACE with Iran, and PEACE in the Middle East. We received a 10 point proposal from Iran, and believe it is a workable basis on which to negotiate. Almost all of the various points of past contention have been agreed to between the United States and Iran, but a two week period will allow the Agreement to be finalized and consummated. On behalf of the United States of America, as President, and also representing the Countries of the Middle East, it is an Honor to have this Longterm problem close to resolution. Thank you for your attention to this matter! President DONALD J. TRUMP – @realDonaldTrump (Apr 07, 2026, 4:32 PM) Trump: “A Whole Civilization will Die Tonight” [x] Dorothy Thompson – Wikipedia [x] Paulo Freire – Wikiquote [x] Frontline Ukraine: Crisis in the Borderlands: Sakwa, Richard: 9781784535278: Amazon.com: Books “NATO exists to manage the threats created by its existence” On This Day Events April 2026 Calendar of Public Holidays | Office Holidays Holidays and Observances in the United States in 2026 What day is it today? Important events every day ad-free | United States OTD On This Day – What Happened on April 8 Today in History: April 8, Hank Aaron breaks Babe Ruth's home run record | AP News What Happened on April 8 – On This Day What Happened on April 8 | HISTORY April 8 – Wikipedia What Happened On April 8 In History? 08 | April | 2020 | Executed Today Holidays Pesach VII in Israel Historical Events 2020 – 76-day lockdown lifted in Wuhan, China where the COVID-19 ‘pandemic’ allegedly began. 2014 – Windows XP reaches its standard End Of Life and is no longer supported. 2013 – Margaret Thatcher, Britain's first female prime minister, dies: Margaret Thatcher, the first female prime minister of the United Kingdom, dies in London at age 87 from a stroke on April 8, 2013. Serving from 1979 to 1990, Thatcher was the longest-serving British prime minister of the 20th century. 2010 – President Barack Obama and Russian President Dmitry Medvedev signed the New START nuclear arms reduction treaty in Prague. 2009 – Somali pirates allegedly hijack Maersk Alabama ship: The MV Maersk Alabama is hijacked off the coast of Somalia. The high-profile incident drew worldwide attention to the problem of piracy, commonly believed to be a thing of the past, in the waters off the Horn of Africa. 2005 – Over 4 million people pay their last respects to Pope John Paul II: Karol Józef Wojtyła from Poland was an immensely popular Pope. He was succeeded by German Pope Benedict XVI, born Joseph Aloisius Ratzinger. 2005 – Olympic Park bomber Eric Rudolph agrees to plead guilty: Eric Rudolph agrees to plead guilty to a series of bombings, including the fatal bombing at the 1996 Olympics in Atlanta, in order to avoid the death penalty. He later cited his anti-abortion and anti-homosexual views as motivation for the bombings. Eric Robert Rudolph was born September 19, 1966, in Merritt Island, Florida. 1999 – Step Aboard the Titanic – Las Vegas Style: Even by Las Vegas standards it was controversial, a $1.2 billion recreation of the doomed Titanic, along with the iceberg that caused its destruction. 1994 – Grunge icon, Kurt Cobain found dead: Rock star, Kurt Cobain is found dead in his Seattle, Washington home three days after alleged suicide, with fresh injection marks in both arms and a fatal wound to the head from the 20-gauge shotgun found between his knees. 1992 – Tennis great Arthur Ashe announced at a New York news conference that he had AIDS, having contracted HIV from a blood transfusion in 1983. 1990 – Eighteen-year-old Ryan White, national symbol of the AIDS crisis, dies: 18-year-old Ryan White dies of pneumonia, due to having contracted AIDS from a blood transfusion. He had been given six months to live in December of 1984 but defied expectations and lived for five more years, during which time his story helped educate the public and dispel widespread misconceptions about HIV/AIDS. 1990 – “Twin Peaks” premieres on ABC: David Lynch's surreal television drama “Twin Peaks” premieres on ABC, launching the question “Who killed Laura Palmer?” into the cultural zeitgeist. 1989 – Pitcher Jim Abbott, born without right hand, makes MLB debut: California Angels rookie pitcher Jim Abbott, who was born without a right hand, makes his Major League Baseball debut in a 7-0 loss to the Seattle Mariners. His debut generates a buzz throughout the sports world. “Maybe I was unnerved by all the attention,” Abbott tells reporters afterward. 1987 – U.S. Secretary of State George Shultz condemns Soviet spying: Just days before he is to travel to Moscow for talks on arms control and other issues, U.S. Secretary of State George Shultz states that he is “damned upset” about possible Soviet spy activity in the American embassy in the Soviet Union. Soviet officials indignantly replied that the espionage charges were “dirty fabrications.” 1983 – Magician David Copperfield pulls off one of his most audacious illusions: making the Statue of Liberty “disappear” in front of a live audience on Liberty island. 1977 – The Clash release their debut album of the same name: The British combo around lead vocalist Joe Strummer is considered one of the most influential early punk rock bands. 1975 – Frank Robinson makes debut as first Black manager in MLB: Against the New York Yankees in Cleveland, the Indians' Frank Robinson becomes the first African American to manage a game in Major League Baseball. Robinson, who also bats second, homers in his first at-bat in Cleveland's 5-3 win. 1974 – Hank Aaron of the Atlanta Braves hit his 715th career home run in a game against the Los Angeles Dodgers, breaking Babe Ruth's home run record that had stood since 1935. 1962 – Cuba announced that 1,200 Cuban exiles tried for their roles in the failed Bay of Pigs invasion were convicted of treason and sentenced to 30 years in prison. 1959 – The Organization of American States drafts an agreement to create the Inter-American Development Bank. 1959 – One of the first modern programming languages is created: The Common Business-Oriented Language or COBOL was primarily designed by a woman, Grace Hopper. Also known as Amazing Grace, she is regarded as one of the pioneers in the field. 1953 – Jomo Kenyatta jailed for Mau Mau uprising in Kenya: Jomo Kenyatta, leader of the Kenyan independence movement, is convicted by Kenya's British rulers of leading the extremist Mau Mau in their violence against white settlers and the colonial government, and sentenced to 7 years hard labor. An advocate of nonviolence and conservatism, he pleaded innocent in the highly politicized trial. He is considered to be Kenya’s founding father and became the country’s first President in 1964. 1952 – U.S. President Harry Truman calls for the seizure of all domestic steel mills to prevent a nationwide strike. 1946 – The last meeting of the League of Nations, the precursor of the United Nations, is held. 1944 – Russians attack Germans in drive to expel them from Crimea: Russian forces led by Marshal Fyodor Tolbukhin attack the German army in an attempt to win back Crimea, in the southern Ukraine, occupied by the Axis power. The attack would result in the breaking of German defensive lines in just four days, eventually sending the Germans retreating. 1935 – Congress establishes WPA as part of “New Deal”: Congress votes to approve the Works Progress Administration (WPA), a central part of President Franklin D. Roosevelt's Stuart Chase's New Deal. In November 1932, at the height of the Great Depression, Governor Roosevelt of New York was elected the 32nd president of the United States. 1918 – World War I: Actors Douglas Fairbanks and Charlie Chaplin sell war bonds on the streets of New York City's financial district. 1913 – The 17th Amendment to the Constitution was ratified, providing for election of U.S. senators by state residents as opposed to state legislatures. 1913 – China’s National Assembly opens in Peking, the first free democratic parliament in Chinese history 1911 – An explosion at the Banner Coal Mine in Littleton, Alabama, claimed the lives of 128 men, most of them convicts leased out from prisons. 1908 – Harvard University votes to establish the Harvard Business School. 1904 – British mystic Aleister Crowley transcribes the first chapter of The Book of the Law. 1904 – Britain and France sign Entente Cordiale: The treaty, which was initially designed to regulate the countries’ colonial interests in Africa, later evolved into the Triple Entente to fight Germany in World War I. With war in Europe a decade away, Britain and France sign an agreement, later known as the Entente Cordiale, resolving long-standing colonial disputes in North Africa and establishing a diplomatic understanding between the two countries, formally entitled a Declaration between the United Kingdom and France Respecting Egypt and Morocco. 1895 – In Pollock v. Farmers’ Loan & Trust Co. the Supreme Court of the United States declares unapportioned income tax to be unconstitutional. 1886 – William Gladstone introduces the first Irish Home Rule Bill in the British House of Commons 1866 – Austro-Prussian War: Italy and Prussia sign a secret alliance against the Austrian Empire. 1864 – The U.S. Senate passed, 38-6, the 13th Amendment to the U.S. Constitution abolishing slavery. (The House of Representatives passed it in January 1865; the amendment was ratified and adopted in December 1865.) 1832 – Black Hawk War: Around 300 United States 6th Infantry troops leave St. Louis, Missouri to fight the Sauk Native Americans. 1820 – The Venus de Milo statue, likely dating to the 2nd century B.C., was discovered by a farmer on the Greek Aegean island of Milos. 1766 – First fire escape is patented: a wicker basket on a pulley and chain 1271 – In Syria, sultan Baibars conquers the Krak des Chevaliers. Births 1972 – Sergei Magnitsky, Russian lawyer and accountant (died 2009) 1968 – Patricia Arquette, American actress and director (58) 1966 – Robin Wright, American actress, director, producer (60) 1960 – John Schneider, American actor and country singer (66) 1955 – Ron Johnson, American businessman and politician (71) 1947 – Tom DeLay, American politician and convict (79) 1947 – Robert Kiyosaki, American investor (79) 1938 – Kofi Annan, Ghanaian diplomat, 7th Secretary-General of the United Nations (died 2018) 1937 – Seymour Hersh, American journalist and author (89) 1918 – Betty Ford, American wife of Gerald R. Ford, 40th First Lady of the United States (died 2011) 1912 – Sonja Henie, Norwegian-born figure skater who won gold medals at three Olympics in the 1920s and ’30s. Went Hollywood in hits like 1937’s “Thin Ice.” (died 1969) 1892 – Mary Pickford, Canadian-American actress, producer, screenwriter and co-founder of United Artists (died 1979) 1869 – Harvey Cushing, American surgeon and academic (died 1939) 1859 – Edmund Husserl, Austrian mathematician, philosopher (died 1938) 1460 – Juan Ponce de León, explorer and conquistador, first arrived in the Caribbean with Columbus’ 2nd voyage in 1493, founded the first European settlement in Puerto Rico, Camparra in 1508. In 1513 with a royal contract he was the first known European to discover Florida, which he named. A popular myth asserts that another part of his exploration was a search for the ‘fountain of youth’. (died 1521) Deaths 2025 – Nelsy Cruz, Dominican politician, governor of Monte Cristi Province from 2020 until her death. A member of the Modern Revolutionary Party (PRM), she died after a nightclub roof collapse in Santo Domingo. (born 1982) 2024 – Peter Higgs, British physicist, Nobel Prize laureate. In 1964, Higgs was the single author of one of the three milestone papers published in Physical Review Letters (PRL) that proposed that spontaneous symmetry breaking in electroweak theory could explain the origin of mass of elementary particles in general and of the W and Z bosons in particular. This Higgs mechanism predicted the existence of a new particle, the Higgs boson, the detection of which became one of the great goals of physics. In 2012, CERN announced the discovery of the Higgs boson at the Large Hadron Collider. (born 1929) 2013 – Margaret Thatcher, English politician, Prime Minister of the United Kingdom (born 1925) 2012 – Jack Tramiel, Polish-American businessman, founded Commodore International (born 1928) 1996 – Ben Johnson, American actor, stuntman, legendary Hollywood equestrian (born 1918) 1981 – Omar Bradley, American general (born 1893) 1973 – Pablo Picasso, Spanish painter, sculptor (born 1881) 1950 – Vaslav Nijinsky, Russian dancer, choreographer (born 1890) 1587 – John Foxe, English writer (born 1516) 1492 – Lorenzo de’ Medici, Italian ruler (born 1449)

This week's full broadcast of Computer Talk Radio includes - 00:00 - Smart Devices not as reliable - Rachel asks why her smart devices sometimes stop working - 11:00 - Ancient programming languages - Eric asks why companies still use things like COBOL in 2026 - 22:00 - Resisting the upgrade track - Keith shares ideas of resisting the manufacturers upgrade track - 31:00 - Marty Winston's Wisdom - Marty shares a tech tool, the Lightbar series of headlamps - 39:00 - Scam Series - Fake Warranty - Benjamin notes the Fake Warranty Renewal Trap still exists - 44:00 - Keske on Automation - Steve and Benjamin extoll upsides of learning automation - 56:00 - Dr Doreen Galli - nerd wear - Dorren and Benjamin talk nerd shirts and other wear - 1:07:00 - Listener Q&A - old school - Rita asks Benjamin why people are still using paper planners - 1:16:00 - IT Professional Series - 373 - Why your office needs a clean desk policy even at home - 1:24:00 - Listener Q&A - webcame covers - Lila asks why people cover their webcam lenses with tape

In this episode of the Mainframe Connect podcast's I Am a Mainframer series, Sarah Julia Kriesch, Senior Lead Mainframe Architect (Open Source) at Kyndryl, shares her journey from Linux system administration to leading the Linux Distribution Working Group at the Open Mainframe Project. Starting with her bachelor thesis on Kubernetes on mainframe through Germany's Academic Mainframe Consortium, Sarah transitioned from IBM to Axians consulting and founded the working group that coordinates Linux distributions on s390x.Sarah discusses how the group collaborates on upstream challenges, serves as a point of contact for developers (like COBOL compiler teams), secures hardware upgrades, and leverages the LinuxONE Community Cloud for free VMs. She highlights successes with Rust, PyPI modules, and multi‑architecture testing, plus her vision for blockchain networks connecting bank mainframes with confidential computing and integrated AI.Celebrating Women's History Month – Sarah exemplifies women leading mainframe innovation through open source collaboration and community building during Women's History Month.#mainframe #opensource #IamaMainframer #podcast #openmainframeproject #LinuxFoundation #Kyndryl #StevenDickens #SarahJuliaKriesch #LinuxONE #MainframeConnect #WomenInTech #WomensHistoryMonth

BONUS: Why Every Organization Reinvents Silos—And What to Do About It Today we speak with Roland Flemm, co-creator of Org Topologies and co-author of 10X Org — Powered by Org Topologies. Roland has spent decades in the trenches—first as a developer, then in infrastructure, and finally as a Scrum Master, trainer, and organizational design consultant. In this episode, he explains why even teenagers with zero corporate experience instinctively create departmental silos, why making every team faster doesn't make the whole organization faster, and how leaders can use the Org Topologies map to see their organization as it actually is—not as the org chart says it should be. From Developer to Org Designer: Four Decades of Hitting the Same Wall "I felt many, many times the limitations of organizational structures stopping me from using my common sense to make people work together in a proper way."   Roland's career spans over 40 years, starting as a developer in 1984. After a decade writing code and another decade in infrastructure, he moved into Scrum and agile coaching. But even as a highly effective Scrum Master, he kept hitting the same ceiling: local team improvements couldn't break through organizational boundaries. You could have wins with your team, but the moment you needed multiple teams to work together, someone higher up would shut it down. That frustration led him to Large-Scale Scrum (LeSS) by Bas Vodde and Craig Larman, which offered a more educated approach to multi-team collaboration—and eventually to co-creating Org Topologies as a way to help leaders see and change the structures that block real collaboration. Bas has been on the podcast to share his view on scaling Scrum with LeSS, listen to his episode here. The Hydrogen Car That Built Its Own Silos "If you don't think about your org design—the way that you want to collaborate—then something like this happens."   One of the most striking stories in Roland's book comes from the Technical University of Delft, where student engineers were thrown together to build a hydrogen racing car. These were teenagers—no corporate experience, no boss who'd worked in a traditional company. And within weeks, they'd organized themselves into departmental silos, each sticking to their specialty. The mechanical engineers stayed on their turf, the electrical engineers on theirs. It was automatic. Roland traces this instinct deep: from school, where you choose a specialty; from the army and the church, where hierarchy is the default; from society itself, where "you're a plumber, so then we know what you are." The pattern of drawing boundaries and appointing leads when faced with complexity isn't corporate culture—it's human nature. And the problem isn't that it exists. The problem is that we don't know there are alternatives. The Ferrari Effect: Why Local Speed Creates Global Congestion "It's not that people choose to do fewer things. They just push more into the system because it can handle it. And that's where things go wrong."   Roland uses a vivid analogy from the book: swapping every car on the road for a Ferrari doesn't fix traffic congestion. The same principle applies in organizations. Everyone feels faster individually—teams are delivering, sprints are moving—but the whole isn't getting better. The HealthCare.gov story makes the case dramatically: 55 vendor firms, $1.7 billion in spending, and on launch day, six people successfully enrolled. Then a ten-person cross-functional team fixed it in six weeks. Roland sees this pattern repeat in banks that adopt delivery-oriented structures like SAFe: they create value streams, but because they don't make hard choices about what not to do, the freed-up coordination capacity immediately fills with new demands. The congestion returns, just at a different level. In this segment, we talk about the Cynefin Framework.  Three Topologies: Resource, Delivery, and Adaptive "The third topology is interesting—that's where the hands and the heads are merged. They're no longer separated."   Roland walks through the Org Topologies map, each suited to different contexts:   Resource Topology — The "hands" are separated from the "heads." Coordinators design and direct; specialists execute narrow, deep tasks. This works in environments with low variability and deep technical expertise—think ASML's university-level hardware engineers, or a bank's core transaction processing team running COBOL. The focus is on utilization of expensive specialists.   Delivery Topology — Still has coordination overhead, but teams are cross-functional and can handle more complex problems end to end. A team owns the customer page and does design, testing, and deployment. This model favors speed of delivery, but breaks down when new work doesn't fit neatly onto existing value streams—like needing a retention initiative when no retention team exists. Work falls through the cracks.   Adaptive Topology — The hands and heads merge. People who coordinate can also do the work, and they self-organize around problems as they emerge. It's like a startup—"four guys and a dog in a garage"—but with hundreds of people. This model thrives in high-variability, high-learning environments where the investment in cross-training pays off because the challenges keep changing.   The key insight: none of these is "better." It's about fit for purpose. A single organization—like a large bank—might need all three topologies operating simultaneously in different parts of the business. The MADE Loop: Map, Assess, Design, Elevate "First, we all agree that the system that we're looking at is really the system that we're looking at. And then we can start talking about how to improve."   Rather than the typical transformation playbook—hire consultants, roll out a framework, hope for the best—Roland advocates for the MADE loop: Map the reality of how work actually flows (not what the org chart says), Assess whether that structure is fit for the strategic purpose, Design targeted improvements using the Org Topologies map, and Elevate through small experiments. Maybe two teams temporarily share members. Maybe one person switches team membership for a sprint. The changes are gradual, measurable, and reversible. Roland is emphatic about one principle from the book: "Own, Not Rent." Real structural change can't be outsourced to a consulting firm. Leaders have to see the system themselves—go to where the work happens, understand the flow, and make informed choices about what to change. AI Is About to Reshape the Map "As AI comes, you might want to get at least a part of that work transferred lower in the organization to more execution-oriented teams, because they can now use resources like AI to make proper decisions."   Roland makes a forward-looking point about how AI will shift the boundaries between topologies. Work that required deep specialist silos—like legal review or compliance decisions—may soon be handleable by cross-functional teams using AI tools. This means the threshold for when an adaptive or delivery topology makes sense will shift. Organizations that understand their current topology will be better positioned to adapt; those that don't will find their structures obsolete without understanding why.   About Roland Flemm   Roland Flemm is co-creator of Org Topologies and co-author of 10X Org — Powered by Org Topologies (2026) — a framework and book about elevating organizational performance through people-centered, strategy-driven redesign. He works with leaders in scale-ups and enterprises across Europe, helping them see how their org structure shapes — or blocks — their ability to learn, adapt, and deliver.   You can link with Roland Flemm on LinkedIn. Learn more about Roland's work at 10xorg and https://www.orgtopologies.com

AI is happening so fast, Ransomware attacks increasing but payments going down, AI's ability to write Cobol tanks IBM stock, Bumper Music, My Network interface seems to have broken DNS,

Andrew and Ben break down a busy week on the Friday Deploy, starting with the market reaction to new COBOL tools and the permissions oversights that led to recent outages at AWS. They also explore the shifting landscape of developer productivity studies, the security risks of cloud-hosted agents, and the latest cybersecurity takeaways from the International AI Safety report. Finally, they close out the episode by checking in on a retired Claude model that was given a blog.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:IBM Didn't Lose 13% Because COBOL DiedAWS suffered ‘at least two outages' caused by AI tools, and now I'm convinced we're living inside a ‘Silicon Valley' episodeWe are Changing our Developer Productivity Experiment DesignDeepfakes spreading and more AI companions': seven takeaways from the latest artificial intelligence safety reportGreetings from the Other Side (of the AI Frontier)OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, we discuss AI-assisted COBOL migrations, the OpenClaw Foundation, and AI killing Office. Plus, is TSA PreCheck Touchless the peak of airport efficiency? Watch the YouTube Live Recording of Episode 561 Runner-up Titles New's not good He knows how to be retired Let Matt Cook We don't have to worry about that Brandon You're that guy The stock market feels reactionary Siri-Claw Foundation Washing Give me life-changing money and I'll have a better take Why do I need to pay for power usage? Rundown IBM is the latest AI casualty. Shares tank 13% on Anthropic programming language threat IBM Crashes 11% as Anthropic Threatens COBOL Empire Mechanical Orchard: Half Baked OpenClaw, OpenAI and the future This Is the Biggest Threat to Microsoft Office I've Ever Seen. LibreOffice Online: a fresh start - TDF Community Blog Linux 7.0-rc1 Released With Many New Features Relevant to your Interests Warren Buffett's Berkshire Hathaway announces it sold 77% of its Amazon they hacked CSS The A.I. Disruption We've Been Waiting for Has Arrived YOLO Travel Bookings This App Warns You if Someone Is Wearing Smart Glasses Nearby The Death of Spotify: Why Streaming is Minutes Away From Being Obsolete OpenAI resets spending expectations, tells investors compute target is around $600 billion by 2030 Cloud and AWS cost consultant Duckbill expands to software, raises $7.75M for new Skyway platform Man accidentally gains control of 7,000 robot vacuums My smart sleep mask broadcasts users' brainwaves to an open MQTT broker Nonsense GE Profile made a smaller version of its nugget ice maker that needs less counter space TSA PreCheck Touchless ID | Delta Air Lines Listener Feedback Introducing Agent Plugins for AWS Conferences DevOpsDay LA at SCALE23x, March 6th, Pasadena, CA Use code: DEVOP for 50% off. Devnexus 2026, March 4th to 6th, Atlanta, GA. Use this 30% off discount code from your pals at Tanzu: DN26VMWARE30. Check out the Tanzu and Spring talks and trading cards on THE LANDING PAGE. Austin Meetup, March 10th, Listener Steve Anness speaking on Grafana KubeCon EU, March 23rd to 26th, 2026 - Coté will be there on a media pass. DevOpsdays Atlanta 2026, April 21-22, 2026 DevOpsDays Austin, May 5 - 6, 2026 WeAreDevelopers, July 8th to 10th, Berlin, Coté speaking. VMware User Groups (VMUGs): Amsterdam (March 17-19, 2026) - Coté speaking. Minneapolis (April 7-9, 2026) Toronto (May 12-14, 2026) Dallas (June 9-11, 2026) Orlando (October 20-22, 2026) SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Recommendations Brandon: Milestone Birthdays (iOS App) Matt: Lupin on Netflix

Cheese is MIA, so Chad bring the ladies in to take over, and chaos follows: StepStone celebrates record applications… during record job desperation. Spin level: Olympic gold. AI agent harassment enters the chat. IBM's COBOL cash cow meets AI with a chainsaw. Google's “CareerDreamer” Copy prompt → paste → profit? Kombo vs. Humand at 2 am Tech layoffs are giving Hunger Games energy. CEOs call unemployment “momentum.” Workers call it “rent's due.” AI in hiring: helpful assistant or reputation wrecking hallucination machine? Stay tuned.

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Where does AI actually fit into the mainframe modernization journey? In this week's episode of Mixture of Experts, host Tim Hwang is joined by experts Skyla Loomis, Maryam Ashoori and Kaoutar El Maghraoui. We dive into conversation around AI-powered mainframe modernization and AI builders. Next, 84% of the world has never used AI? A reality check on AI adoption and what needs to change. Finally, OpenClaw exposes some AI agent security gaps. We discuss "agent ops"—the framework for transparency, evaluation, optimization and policy enforcement that makes AI agents production-ready. All that and more on today's Mixture of Experts. 00:00 – Introduction 1:06 – Mainframe modernization 14:18 – AI adoption reality check 29:40 – Security-by-design agentic AI The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Learn how to operate AI agents responsibly at scale in the latest Tech Summit → https://ibm.webcasts.com/starthere.jsp?ei=1749693&tp_key=83a9212ff7&sti=podcast

My main takeawaysMain TakeawaysThe "Stargate" Collapse: The $500 billion partnership between OpenAI, SoftBank, and Oracle is being labeled "vaporware." Reports suggest the deal is in shambles due to internal power struggles and a lack of actual liquidity, with SoftBank allegedly scrambling for 90% debt financing.Market Volatility vs. Reality: There is a disconnect between market reactions and product performance. While Anthropic's claim that Claude can streamline COBOL code caused IBM's stock to drop 10%, critics argue the public is still in a "demo phase" of awe and hasn't realized the tech often fails to work as advertised.Reliability Concerns: High-profile failures are surfacing, such as Claude reportedly deleting a Meta researcher's entire Gmail history. This raises alarms as these same models are being positioned to manage critical infrastructure like banking and the IRS.Corporate Espionage: Anthropic has reported "industrial-scale distillation attacks" from Chinese labs (DeepSeek, Moonshot AI, MiniMax), claiming they used over 24,000 fraudulent accounts to "siphon" Claude's capabilities to train their own models.The "Theranos" Comparison: Critics are drawing parallels between current AI labs and failed startups like Theranos, arguing that the goal of reaching AGI via Large Language Models may be technically impossible, creating a "feedback loop delusion" to sustain venture capital investment.Strategic Shifts: OpenAI is pivoting toward traditional consulting giants (McKinsey, Accenture) to integrate its tech, while the community continues to debate the technical distinctions between generative AI and autonomous agents.@XFreeze@MrEwanMorrison@sterlingcrispin@dwlz

Join host Steven Dickens in this inspiring episode of I Am a Mainframer featuring Junior Tadiffo, a third-year Computer Science student at University at Buffalo, IBM Z Student Ambassador, and President of the UB IBM Z Club. Junior shares his journey discovering the mainframe through a friend's recommendation, earning IBM Z badges on z/OS Explore, and igniting his passion for this powerful platform.​From his first "mind-blowing" experience accessing z/OS to running the university's IBM Z Club, Junior discusses the perception challenges on college campuses, the importance of hands-on access like z/OS Explore, and how open source Linux on mainframe makes it more accessible to students. He also shares advice for the mainframe community on supporting early-career talent and his vision for more public resources, YouTube tutorials, and greater mainframe integration in modern computing over the next 10 years.​Celebrating Black History Month: This episode highlights Junior Tadiffo's journey as a Black student leader breaking barriers in mainframe technology during Black History Month. Junior represents the next generation of diverse talent bringing fresh perspectives and energy to the mainframe ecosystem, proving that innovation knows no bounds.

Kevin Horner dials up the chart of "Big Blue" and tries to make sense of the recent selling seen in IBM Corp. (IBM). Following news of Anthropic's latest COBOL capabilities with its Claude AI, shares of IBM slide 13% on Monday–it's biggest single session drop of this millennium. Kevin looks at the long-term support significance of the $225 level and shows how dramatic this week's drop was for IBM.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

Anthropic's Hidden Claude 1, Market-Shaking AI Tools, and MIT's One-Step 3D-Printed Electric Motor Host Jim Love covers three major stories: Anthropic CEO Dario Amodei's comments on AI governance and safety, including that "Claude 1" was built before ChatGPT but not released because it didn't meet Anthropic's alignment and safety bar; how Anthropic's recent launches—Claude for knowledge-work "cowork" workflows, deeper office/document integrations, Claude Code Security for vulnerability scanning, and tooling to automate parts of COBOL modernization—coincided with sharp market reactions including declines in CrowdStrike and Zscaler (around 10–11%) and a major IBM drop (more than 13%) amid fears AI could disrupt SaaS, cybersecurity, and legacy modernization revenue; and MIT researchers' report of a 3D printing process that produces a fully functional linear electric motor in a single step (aside from magnetization), with reported material cost around 50 cents in a lab setting, raising the prospect of on-demand manufacturing and compressed supply chains. The episode also includes sponsorship messages about Meter's integrated wired, wireless, and cellular networking stack. Hashtag Trending would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt 00:00 Headlines and Sponsor 00:45 Amodei vs Altman 01:29 Claude 1 Not Shipped 03:19 Anthropic Shakes Markets 04:57 AI Hits Cybersecurity 05:28 COBOL Modernization Shock 08:10 MIT Prints Electric Motor 09:39 Manufacturing Disruption 10:26 Wrap Up and Thanks

Infinite AI Monkeys, Ploutus, Serv-U, Fortinet, Cyberwar, COBOL, NIST, Dr. Strangelove, Aaran Leyland, and More on the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-558

Infinite AI Monkeys, Ploutus, Serv-U, Fortinet, Cyberwar, COBOL, NIST, Dr. Strangelove, Aaran Leyland, and More on the Security Weekly News. Show Notes: https://securityweekly.com/swn-558

Infinite AI Monkeys, Ploutus, Serv-U, Fortinet, Cyberwar, COBOL, NIST, Dr. Strangelove, Aaran Leyland, and More on the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-558

Dette er episode 356 av Tid er penger.Alle tjenester Tid er penger leverer til lyttere kan du finne på vår nye, enkle hjemmeside: www.tiderpenger.noDer finner du:LinkedIn-sideSpotfyRSSDiscord chatBlueskyNyhetsbrevFacebook-gruppePatreonBokanbefalingerPeters CVMail Hosted on Acast. See acast.com/privacy for more information.

The daughter of a hospital administrator, Amy Gleason never considered a career in the public sector – she went straight into healthcare. As an emergency room nurse, she started to see the dangers that unfold when healthcare providers don't have access to the information they need to treat patients. Those experiences drove her towards a tech career in the emerging electronic health records space before a very personal experience altered her professional path yet again.Amy's active and healthy 10-year old daughter began suffering unusual healthcare events, from rashes and headaches to broken bones. Eventually, she couldn't walk. It took more than a year from the start of these symptoms for doctors to diagnose her with a rare autoimmune disease. Even then, it was an accidental diagnosis from a dermatologist conducting a skin biopsy.Amy attributes the delayed diagnosis to siloed data, not unsimilar to the challenges she experienced as a nurse and was working to solve in the EHR space. It motivated her to co-found a company focused on helping patients with chronic diseases access their data to share it with the providers and family members helping to navigate complex care journeys.In 2015, Amy's work earned her an award from the White House for Champions of Change in Precision Medicine – her first foray into the public sector. By 2018, she entered civic service full time with a role at the United States Digital Service, which she describes as “DOGE 1.0.”In this episode of Healthcare is Hard, Amy talked to Keith Figlioli about the work she's doing now as Strategic Advisor to CMS and Administrator of the U.S. DOGE Service, where her main mission is modernizing technology across government agencies for the millions of people who rely on federal services every day. This ranges from modernizing FAFSA and the student loan process, to improving the Visa system ahead of the World Cup, and work on various critical healthcare systems. Some of the topics Amy and Keith discussed in this episode, include:Bold plans for a Digital Health Ecosystem. Launched in July 2025, CMS' Health Tech Ecosystem is a public-private partnership designed as a voluntary, fast-moving alternative to slow rulemaking. Rather than years of regulation, the program uses pledges, working groups, and short development cycles to put interoperability building blocks and real patient-facing use cases in place. The goal is to get usable capabilities into the market in months – not years – let the community iterate, and have baseline use cases live by March 31, 2026 with more advanced capabilities rolling out by July.Carrots and sticks before regulation. Recognizing the limitations of regulation, Amy talked about a new philosophy for incentivizing the market to change behaviors on its own first. “Carrots” include the rural health transformation fund and the recently introduced ACCESS model, a 10-year pilot that, for the first time, lets tech-enabled services bill Medicare directly. “Sticks” include stricter enforcement of information-blocking rules.Replacing the 1970s-era Medicare claims system. Amy discussed plans to replace Medicare's decades-old COBOL-based adjudication platform. While it's a stable platform, it can't support real-time processing, AI, or rapid change. To replace it, CMS is looking to commercial, off-the-shelf solutions that operate at scale so claims processing can be modernized, made real-time, and integrated with new interoperability rails. It's a concrete example of bringing modern engineering and product thinking to government technology.To hear Amy and Keith discuss these topics and more, listen to this episode of Healthcare is Hard: A Podcast for Insiders.

Photo by Viktor Keri on Unsplash Published 16 February 2026 e543 with Andy, Michael and Michael – Stories and discussion on Agentic AI and the changing nature of work, agents renting humans, real time translation, artistic roads, e-bikes for your feet and a whole lot more. Andy, Michael and Michael get things rolling with several AI articles.  First up, is a Mastodon post by Alan Pringle that called attention to a HBR article on the influence of AI on productivity.  This then led to a post on productivity acceleration technologies from years past – from COBOL, which was designed to enable business people to write programs, to 4GLs to case tools.  Then, the team discusses a detailed post from Matt Shumer entitled Something Big Is Happening.  The entire post is well worth reading, not only for how history is unfolding in real time, also for the recommendations that Matt makes for people to take onboard right now.  Among the recommendations are to begin the habit of adapting, and experimenting with multiple tools to build resiliency and experience. Wrapping up this section is a new version of taskrabbit that provides an API for Agents to rent humans for specific work called rentahuman.ai .  The future is certainly coming in fast. In the AR VR section, there is a story from Tom's Guide where the author used her Ray Ban Meta glasses to translate the Super Bowl halftime video in real time.  This feels like the precursor to the next logical step, a dynamic version of the Amazon X-Ray feature where further context can be personalized and served up to the user if they wish. After touching on the assembly of Game Poems and the art of roads in games, the team sprints to the end of the episode with Nike's Project Amplify, which is an ankle exoskeleton to augment humans running abilities.  Looping back to the start of the episode, Andy highlights a BBC show called Chris McCausland. What's been your experience with AI productivity?  What are you experimenting with? Have your bots

Legacy systems work. So why do companies waste millions rewriting them? In this episode of Arguing Agile, Product Manager Nisha Patel joins Product Manager Brian Orlando and Enterprise Business Agility Consultant Om Patel for a debate on the dangerous obsession with rewriting legacy systems — from COBOL to green screens — that still power ATMs, government systems, and Fortune 500 billing engines. Watch or listen as we discuss the myth that "modern" equals "better" and reveal how most rewrites fail because they ignore customer value, edge cases, and real ROI as well as other topics, such as:How Chesterton's Fence applies to code (Brian still doesn't know)How Developers kill software with Resume-Driven Development (RDD)How Finance kills software with spreadsheet-driven development (SDD)Why chasing "parity" kills innovationRisk Mitigation, or, framing technical debt in business termsIf you've ever worked on or tried to replace legacy systems, this episode will either give you nightmares, or help how you approach legacy systems while helping you also stop burning budget on vanity projects.#LegacyCode #ProductManagement #AgileCoachingREFERENCESAA148 - An Introduction to Software Development FinancesLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

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