Podcasts about Atlassian

Emmanuel et Guillaume discutent de divers sujets liés à la programmation, notamment les systèmes de fichiers en Java, le Data Oriented Programming, les défis de JPA avec Kotlin, et les nouvelles fonctionnalités de Quarkus. Ils explorent également des sujets un peu fous comme la création de datacenters dans l'espace. Pas mal d'architecture aussi. Enregistré le 13 février 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-337.mp3 ou en vidéo sur YouTube. News Langages Comment implémenter un file system en Java https://foojay.io/today/bootstrapping-a-java-file-system/ Créer un système de fichiers Java personnalisé avec NIO.2 pour des usages variés (VCS, archives, systèmes distants). Évolution Java: java.io.File (1.0) -> NIO (1.4) -> NIO.2 (1.7) pour personnalisation via FileSystem. Recommander conception préalable; API Java est orientée POSIX. Composants clés à considérer: Conception URI (scheme unique, chemin). Gestion de l'arborescence (BD, métadonnées, efficacité). Stockage binaire (emplacement, chiffrement, versions). Minimum pour démarrer (4 composants): Implémenter Path (représente fichier/répertoire). Étendre FileSystem (instance du système). Étendre FileSystemProvider (moteur, enregistré par scheme). Enregistrer FileSystemProvider via META-INF/services. Étapes suivantes: Couche BD (arborescence), opérations répertoire/fichier de base, stockage, tests. Processus long et exigeant, mais gratifiant.   Un article de brian goetz sur le futur du data oriented programming en Java https://openjdk.org/projects/amber/design-notes/beyond-records Le projet Amber de Java introduit les "carrier classes", une évolution des records qui permet plus de flexibilité tout en gardant les avantages du pattern matching et de la reconstruction Les records imposent des contraintes strictes (immutabilité, représentation exacte de l'état) qui limitent leur usage pour des classes avec état muable ou dérivé Les carrier classes permettent de déclarer une state description complète et canonique sans imposer que la représentation interne corresponde exactement à l'API publique Le modificateur "component" sur les champs permet au compilateur de dériver automatiquement les accesseurs pour les composants alignés avec la state description Les compact constructors sont généralisés aux carrier classes, générant automatiquement l'initialisation des component fields Les carrier classes supportent la déconstruction via pattern matching comme les records, rendant possible leur usage dans les instanceof et switch Les carrier interfaces permettent de définir une state description sur une interface, obligeant les implémentations à fournir les accesseurs correspondants L'extension entre carrier classes est possible, avec dérivation automatique des appels super() quand les composants parent sont subsumés par l'enfant Les records deviennent un cas particulier de carrier classes avec des contraintes supplémentaires (final, extends Record, component fields privés et finaux obligatoires) L'évolution compatible des records est améliorée en permettant l'ajout de composants en fin de liste et la déconstruction partielle par préfixe Comment éviter les pièges courants avec JPA et Kotlin - https://blog.jetbrains.com/idea/2026/01/how-to-avoid-common-pitfalls-with-jpa-and-kotlin/ JPA est une spécification Java pour la persistance objet-relationnel, mais son utilisation avec Kotlin présente des incompatibilités dues aux différences de conception des deux langages Les classes Kotlin sont finales par défaut, ce qui empêche la création de proxies par JPA pour le lazy loading et les opérations transactionnelles Le plugin kotlin-jpa génère automatiquement des constructeurs sans argument et rend les classes open, résolvant les problèmes de compatibilité Les data classes Kotlin ne sont pas adaptées aux entités JPA car elles génèrent equals/hashCode basés sur tous les champs, causant des problèmes avec les relations lazy L'utilisation de lateinit var pour les relations peut provoquer des exceptions si on accède aux propriétés avant leur initialisation par JPA Les types non-nullables Kotlin peuvent entrer en conflit avec le comportement de JPA qui initialise les entités avec des valeurs null temporaires Le backing field direct dans les getters/setters personnalisés peut contourner la logique de JPA et casser le lazy loading IntelliJ IDEA 2024.3 introduit des inspections pour détecter automatiquement ces problèmes et propose des quick-fixes L'IDE détecte les entités finales, les data classes inappropriées, les problèmes de constructeurs et l'usage incorrect de lateinit Ces nouvelles fonctionnalités aident les développeurs à éviter les bugs subtils liés à l'utilisation de JPA avec Kotlin Librairies Guide sur MapStruct @IterableMapping - https://www.baeldung.com/java-mapstruct-iterablemapping MapStruct est une bibliothèque Java pour générer automatiquement des mappers entre beans, l'annotation @IterableMapping permet de configurer finement le mapping de collections L'attribut dateFormat permet de formater automatiquement des dates lors du mapping de listes sans écrire de boucle manuelle L'attribut qualifiedByName permet de spécifier quelle méthode custom appliquer sur chaque élément de la collection à mapper Exemple d'usage : filtrer des données sensibles comme des mots de passe en mappant uniquement certains champs via une méthode dédiée L'attribut nullValueMappingStrategy permet de contrôler le comportement quand la collection source est null (retourner null ou une collection vide) L'annotation fonctionne pour tous types de collections Java (List, Set, etc.) et génère le code de boucle nécessaire Possibilité d'appliquer des formats numériques avec numberFormat pour convertir des nombres en chaînes avec un format spécifique MapStruct génère l'implémentation complète du mapper au moment de la compilation, éliminant le code boilerplate L'annotation peut être combinée avec @Named pour créer des méthodes de mapping réutilisables et nommées Le mapping des collections supporte les conversions de types complexes au-delà des simples conversions de types primitifs Accès aux fichiers Samba depuis Java avec JCIFS - https://www.baeldung.com/java-samba-jcifs JCIFS est une bibliothèque Java permettant d'accéder aux partages Samba/SMB sans monter de lecteur réseau, supportant le protocole SMB3 on pense aux galériens qui doivent se connecter aux systèmes dit legacy La configuration nécessite un contexte CIFS (CIFSContext) et des objets SmbFile pour représenter les ressources distantes L'authentification se fait via NtlmPasswordAuthenticator avec domaine, nom d'utilisateur et mot de passe La bibliothèque permet de lister les fichiers et dossiers avec listFiles() et vérifier leurs propriétés (taille, date de modification) Création de fichiers avec createNewFile() et de dossiers avec mkdir() ou mkdirs() pour créer toute une arborescence Suppression via delete() qui peut parcourir et supprimer récursivement des arborescences entières Copie de fichiers entre partages Samba avec copyTo(), mais impossibilité de copier depuis le système de fichiers local Pour copier depuis le système local, utilisation des streams SmbFileInputStream et SmbFileOutputStream Les opérations peuvent cibler différents serveurs Samba et différents partages (anonymes ou protégés par mot de passe) La bibliothèque s'intègre dans des blocs try-with-resources pour une gestion automatique des ressources Quarkus 3.31 - Support complet Java 25, nouveau packaging Maven et Panache Next - https://quarkus.io/blog/quarkus-3-31-released/ Support complet de Java 25 avec images runtime et native Nouveau packaging Maven de type quarkus avec lifecycle optimisé pour des builds plus rapides voici un article complet pour plus de detail https://quarkus.io/blog/building-large-applications/ Introduction de Panache Next, nouvelle génération avec meilleure expérience développeur et API unifiée ORM/Reactive Mise à jour vers Hibernate ORM 7.2, Reactive 3.2, Search 8.2 Support de Hibernate Spatial pour les données géospatiales Passage à Testcontainers 2 et JUnit 6 Annotations de sécurité supportées sur les repositories Jakarta Data Chiffrement des tokens OIDC pour les implémentations custom TokenStateManager Support OAuth 2.0 Pushed Authorization Requests dans l'extension OIDC Maven 3.9 maintenant requis minimum pour les projets Quarkus A2A Java SDK 1.0.0.Alpha1 - Alignement avec la spécification 1.0 du protocole Agent2Agent - https://quarkus.io/blog/a2a-java-sdk-1-0-0-alpha1/ Le SDK Java A2A implémente le protocole Agent2Agent qui permet la communication standardisée entre agents IA pour découvrir des capacités, déléguer des tâches et collaborer Passage à la version 1.0 de la spécification marque la transition d'expérimental à production-ready avec des changements cassants assumés Modernisation complète du module spec avec des Java records partout remplaçant le mix précédent de classes et records pour plus de cohérence Adoption de Protocol Buffers comme source de vérité avec des mappers MapStruct pour la conversion et Gson pour JSON-RPC Les builders utilisent maintenant des méthodes factory statiques au lieu de constructeurs publics suivant les best practices Java modernes Introduction de trois BOMs Maven pour simplifier la gestion des dépendances du SDK core, des extensions et des implémentations de référence Quarkus AgentCard évolue avec une liste supportedInterfaces remplaçant url et preferredTransport pour plus de flexibilité dans la déclaration des protocoles Support de la pagination ajouté pour ListTasks et les endpoints de configuration des notifications push avec des wrappers Result appropriés Interface A2AHttpClient pluggable permettant des implémentations HTTP personnalisées avec une implémentation Vert.x fournie Travail continu vers la conformité complète avec le TCK 1.0 en cours de développement parallèlement à la finalisation de la spécification Pourquoi Quarkus finit par "cliquer" : les 10 questions que se posent les développeurs Java - https://www.the-main-thread.com/p/quarkus-java-developers-top-questions-2025 un article qui revele et repond aux questions des gens qui ont utilisé Quarkus depuis 4-6 mois, les non noob questions Quarkus est un framework Java moderne optimisé pour le cloud qui propose des temps de démarrage ultra-rapides et une empreinte mémoire réduite Pourquoi Quarkus démarre si vite ? Le framework effectue le travail lourd au moment du build (scanning, indexation, génération de bytecode) plutôt qu'au runtime Quand utiliser le mode réactif plutôt qu'impératif ? Le réactif est pertinent pour les workloads avec haute concurrence et dominance I/O, l'impératif reste plus simple dans les autres cas Quelle est la différence entre Dev Services et Testcontainers ? Dev Services utilise Testcontainers en gérant automatiquement le cycle de vie, les ports et la configuration sans cérémonie Comment la DI de Quarkus diffère de Spring ? CDI est un standard basé sur la sécurité des types et la découverte au build-time, différent de l'approche framework de Spring Comment gérer la configuration entre environnements ? Quarkus permet de scaler depuis le développement local jusqu'à Kubernetes avec des profils, fichiers multiples et configuration externe Comment tester correctement les applications Quarkus ? @QuarkusTest démarre l'application une fois pour toute la suite de tests, changeant le modèle mental par rapport à Spring Boot Que fait vraiment Panache en coulisses ? Panache est du JPA avec des opinions fortes et des défauts propres, enveloppant Hibernate avec un style Active Record Doit-on utiliser les images natives et quand ? Les images natives brillent pour le serverless et l'edge grâce au démarrage rapide et la faible empreinte mémoire, mais tous les apps n'en bénéficient pas Comment Quarkus s'intègre avec Kubernetes ? Le framework génère automatiquement les ressources Kubernetes, gère les health checks et métriques comme s'il était nativement conçu pour cet écosystème Comment intégrer l'IA dans une application Quarkus ? LangChain4j permet d'ajouter embeddings, retrieval, guardrails et observabilité directement en Java sans passer par Python Infrastructure Les alternatives à MinIO https://rmoff.net/2026/01/14/alternatives-to-minio-for-single-node-local-s3/ MinIO a abandonné le support single-node fin 2025 pour des raisons commerciales, cassant de nombreuses démos et pipelines CI/CD qui l'utilisaient pour émuler S3 localement L'auteur cherche un remplacement simple avec image Docker, compatibilité S3, licence open source, déploiement mono-nœud facile et communauté active S3Proxy est très léger et facile à configurer, semble être l'option la plus simple mais repose sur un seul contributeur RustFS est facile à utiliser et inclut une GUI, mais c'est un projet très récent en version alpha avec une faille de sécurité majeure récente SeaweedFS existe depuis 2012 avec support S3 depuis 2018, relativement facile à configurer et dispose d'une interface web basique Zenko CloudServer remplace facilement MinIO mais la documentation et le branding (cloudserver/zenko/scality) peuvent prêter à confusion Garage nécessite une configuration complexe avec fichier TOML et conteneur d'initialisation séparé, pas un simple remplacement drop-in Apache Ozone requiert au minimum quatre nœuds pour fonctionner, beaucoup trop lourd pour un usage local simple L'auteur recommande SeaweedFS et S3Proxy comme remplaçants viables, RustFS en maybe, et élimine Garage et Ozone pour leur complexité Garage a une histoire tres associative, il vient du collectif https://deuxfleurs.fr/ qui offre un cloud distribué sans datacenter C'est certainement pas une bonne idée, les datacenters dans l'espace https://taranis.ie/datacenters-in-space-are-a-terrible-horrible-no-good-idea/ Avis d'expert (ex-NASA/Google, Dr en électronique spatiale) : Centres de données spatiaux, une "terrible" idée. Incompatibilité fondamentale : L'électronique (surtout IA/GPU) est inadaptée à l'environnement spatial. Énergie : Accès limité. Le solaire (type ISS) est insuffisant pour l'échelle de l'IA. Le nucléaire (RTG) est trop faible. Refroidissement : L'espace n'est pas "froid" ; absence de convection. Nécessite des radiateurs gigantesques (ex: 531m² pour 200kW). Radiations : Provoque erreurs (SEU, SEL) et dommages. Les GPU sont très vulnérables. Blindage lourd et inefficace. Les puces "durcies" sont très lentes. Communications : Bande passante très limitée (1Gbps radio vs 100Gbps terrestre). Le laser est tributaire des conditions atmosphériques. Conclusion : Projet extrêmement difficile, coûteux et aux performances médiocres. Data et Intelligence Artificielle Guillaume a développé un serveur MCP pour arXiv (le site de publication de papiers de recherche) en Java avec le framework Quarkus https://glaforge.dev/posts/2026/01/18/implementing-an-arxiv-mcp-server-with-quarkus-in-java/ Implémentation d'un serveur MCP (Model Context Protocol) arXiv en Java avec Quarkus. Objectif : Accéder aux publications arXiv et illustrer les fonctionnalités moins connues du protocole MCP. Mise en œuvre : Utilisation du framework Quarkus (Java) et son support MCP étendu. Assistance par Antigravity (IDE agentique) pour le développement et l'intégration de l'API arXiv. Interaction avec l'API arXiv : requêtes HTTP, format XML Atom pour les résultats, parser XML Jackson. Fonctionnalités MCP exposées : Outils (@Tool) : Recherche de publications (search_papers). Ressources (@Resource, @ResourceTemplate) : Taxonomie des catégories arXiv, métadonnées des articles (via un template d'URI). Prompts (@Prompt) : Exemples pour résumer des articles ou construire des requêtes de recherche. Configuration : Le serveur peut fonctionner en STDIO (local) ou via HTTP Streamable (local ou distant), avec une configuration simple dans des clients comme Gemini CLI. Conclusion : Quarkus simplifie la création de serveurs MCP riches en fonctionnalités, rendant les données et services "prêts pour l'IA" avec l'aide d'outils d'IA comme Antigravity. Anthropic ne mettra pas de pub dans Claude https://www.anthropic.com/news/claude-is-a-space-to-think c'est en reaction au plan non public d'OpenAi de mettre de la pub pour pousser les gens au mode payant OpenAI a besoin de cash et est probablement le plus utilisé pour gratuit au monde Anthropic annonce que Claude restera sans publicité pour préserver son rôle d'assistant conversationnel dédié au travail et à la réflexion approfondie. Les conversations avec Claude sont souvent sensibles, personnelles ou impliquent des tâches complexes d'ingénierie logicielle où les publicités seraient inappropriées. L'analyse des conversations montre qu'une part significative aborde des sujets délicats similaires à ceux évoqués avec un conseiller de confiance. Un modèle publicitaire créerait des incitations contradictoires avec le principe fondamental d'être "genuinely helpful" inscrit dans la Constitution de Claude. Les publicités introduiraient un conflit d'intérêt potentiel où les recommandations pourraient être influencées par des motivations commerciales plutôt que par l'intérêt de l'utilisateur. Le modèle économique d'Anthropic repose sur les contrats entreprise et les abonnements payants, permettant de réinvestir dans l'amélioration de Claude. Anthropic maintient l'accès gratuit avec des modèles de pointe et propose des tarifs réduits pour les ONG et l'éducation dans plus de 60 pays. Le commerce "agentique" sera supporté mais uniquement à l'initiative de l'utilisateur, jamais des annonceurs, pour préserver la confiance. Les intégrations tierces comme Figma, Asana ou Canva continueront d'être développées en gardant l'utilisateur aux commandes. Anthropic compare Claude à un cahier ou un tableau blanc : des espaces de pensée purs, sans publicité. Infinispan 16.1 est sorti https://infinispan.org/blog/2026/02/04/infinispan-16-1 déjà le nom de la release mérite une mention Le memory bounded par cache et par ensemble de cache s est pas facile à faire en Java Une nouvelle api OpenAPI AOT caché dans les images container Un serveur MCP local juste avec un fichier Java ? C'est possible avec LangChain4j et JBang https://glaforge.dev/posts/2026/02/11/zero-boilerplate-java-stdio-mcp-servers-with-langchain4j-and-jbang/ Création rapide de serveurs MCP Java sans boilerplate. MCP (Model Context Protocol): standard pour connecter les LLM à des outils et données. Le tutoriel répond au manque d'options simples pour les développeurs Java, face à une prédominance de Python/TypeScript dans l'écosystème MCP. La solution utilise: LangChain4j: qui intègre un nouveau module serveur MCP pour le protocole STDIO. JBang: permet d'exécuter des fichiers Java comme des scripts, éliminant les fichiers de build (pom.xml, Gradle). Implémentation: se fait via un seul fichier .java. JBang gère automatiquement les dépendances (//DEPS). L'annotation @Tool de LangChain4j expose les méthodes Java aux LLM. StdioMcpServerTransport gère la communication JSON-RPC via l'entrée/sortie standard (STDIO). Point crucial: Les logs doivent impérativement être redirigés vers System.err pour éviter de corrompre System.out, qui est réservé à la communication MCP (messages JSON-RPC). Facilite l'intégration locale avec des outils comme Gemini CLI, Claude Code, etc. Reciprocal Rank Fusion : un algorithme utile et souvent utilisé pour faire de la recherche hybride, pour mélanger du RAG et des recherches par mots-clé https://glaforge.dev/posts/2026/02/10/advanced-rag-understanding-reciprocal-rank-fusion-in-hybrid-search/ RAG : Qualité LLM dépend de la récupération. Recherche Hybride : Combiner vectoriel et mots-clés (BM25) est optimal. Défi : Fusionner des scores d'échelles différentes. Solution : Reciprocal Rank Fusion (RRF). RRF : Algorithme robuste qui fusionne des listes de résultats en se basant uniquement sur le rang des documents, ignorant les scores. Avantages RRF : Pas de normalisation de scores, scalable, excellente première étape de réorganisation. Architecture RAG fréquente : RRF (large sélection) + Cross-Encoder / modèle de reranking (précision fine). RAG-Fusion : Utilise un LLM pour générer plusieurs variantes de requête, puis RRF agrège tous les résultats pour renforcer le consensus et réduire les hallucinations. Implémentation : LangChain4j utilise RRF par défaut pour agréger les résultats de plusieurs retrievers. Les dernières fonctionnalités de Gemini et Nano Banana supportées dans LangChain4j https://glaforge.dev/posts/2026/02/06/latest-gemini-and-nano-banana-enhancements-in-langchain4j/ Nouveaux modèles d'images Nano Banana (Gemini 2.5/3.0) pour génération et édition (jusqu'à 4K). "Grounding" via Google Search (pour images et texte) et Google Maps (localisation, Gemini 2.5). Outil de contexte URL (Gemini 3.0) pour lecture directe de pages web. Agents multimodaux (AiServices) capables de générer des images. Configuration de la réflexion (profondeur Chain-of-Thought) pour Gemini 3.0. Métadonnées enrichies : usage des tokens et détails des sources de "grounding". Comment configurer Gemini CLI comment agent de code dans IntelliJ grâce au protocole ACP https://glaforge.dev/posts/2026/02/01/how-to-integrate-gemini-cli-with-intellij-idea-using-acp/ But : Intégrer Gemini CLI à IntelliJ IDEA via l'Agent Client Protocol (ACP). Prérequis : IntelliJ IDEA 2025.3+, Node.js (v20+), Gemini CLI. Étapes : Installer Gemini CLI (npm install -g @google/gemini-cli). Localiser l'exécutable gemini. Configurer ~/.jetbrains/acp.json (chemin exécutable, --experimental-acp, use_idea_mcp: true). Redémarrer IDEA, sélectionner "Gemini CLI" dans l'Assistant IA. Usage : Gemini interagit avec le code et exécute des commandes (contexte projet). Important : S'assurer du flag --experimental-acp dans la configuration. Outillage PipeNet, une alternative (open source aussi) à LocalTunnel, mais un plus évoluée https://pipenet.dev/ pipenet: Alternative open-source et moderne à localtunnel (client + serveur). Usages: Développement local (partage, webhooks), intégration SDK, auto-hébergement sécurisé. Fonctionnalités: Client (expose ports locaux, sous-domaines), Serveur (déploiement, domaines personnalisés, optimisé cloud mono-port). Avantages vs localtunnel: Déploiement cloud sur un seul port, support multi-domaines, TypeScript/ESM, maintenance active. Protocoles: HTTP/S, WebSocket, SSE, HTTP Streaming. Intégration: CLI ou SDK JavaScript. JSON-IO — une librairie comme Jackson ou GSON, supportant JSON5, TOON, et qui pourrait être utile pour l'utilisation du "structured output" des LLMs quand ils ne produisent pas du JSON parfait https://github.com/jdereg/json-io json-io : Librairie Java pour la sérialisation et désérialisation JSON/TOON. Gère les graphes d'objets complexes, les références cycliques et les types polymorphes. Support complet JSON5 (lecture et écriture), y compris des fonctionnalités non prises en charge par Jackson/Gson. Format TOON : Notation orientée token, optimisée pour les LLM, réduisant l'utilisation de tokens de 40 à 50% par rapport au JSON. Légère : Aucune dépendance externe (sauf java-util), taille de JAR réduite (~330K). Compatible JDK 1.8 à 24, ainsi qu'avec les environnements JPMS et OSGi. Deux modes de conversion : vers des objets Java typés (toJava()) ou vers des Map (toMaps()). Options de configuration étendues via ReadOptionsBuilder et WriteOptionsBuilder. Optimisée pour les déploiements cloud natifs et les architectures de microservices. Utiliser mailpit et testcontainer pour tester vos envois d'emails https://foojay.io/today/testing-emails-with-testcontainers-and-mailpit/ l'article montre via SpringBoot et sans. Et voici l'extension Quarkus https://quarkus.io/extensions/io.quarkiverse.mailpit/quarkus-mailpit/?tab=docs Tester l'envoi d'emails en développement est complexe car on ne peut pas utiliser de vrais serveurs SMTP Mailpit est un serveur SMTP de test qui capture les emails et propose une interface web pour les consulter Testcontainers permet de démarrer Mailpit dans un conteneur Docker pour les tests d'intégration L'article montre comment configurer une application SpringBoot pour envoyer des emails via JavaMail Un module Testcontainers dédié à Mailpit facilite son intégration dans les tests Le conteneur Mailpit expose un port SMTP (1025) et une API HTTP (8025) pour vérifier les emails reçus Les tests peuvent interroger l'API HTTP de Mailpit pour valider le contenu des emails envoyés Cette approche évite d'utiliser des mocks et teste réellement l'envoi d'emails Mailpit peut aussi servir en développement local pour visualiser les emails sans les envoyer réellement La solution fonctionne avec n'importe quel framework Java supportant JavaMail Architecture Comment scaler un système de 0 à 10 millions d'utilisateurs https://blog.algomaster.io/p/scaling-a-system-from-0-to-10-million-users Philosophie : Scalabilité incrémentale, résoudre les goulots d'étranglement sans sur-ingénierie. 0-100 utilisateurs : Serveur unique (app, DB, jobs). 100-1K : Séparer app et DB (services gérés, pooling). 1K-10K : Équilibreur de charge, multi-serveurs d'app (stateless via sessions partagées). 10K-100K : Caching, réplicas de lecture DB, CDN (réduire charge DB). 100K-500K : Auto-scaling, applications stateless (authentification JWT). 500K-10M : Sharding DB, microservices, files de messages (traitement asynchrone). 10M+ : Déploiement multi-régions, CQRS, persistance polyglotte, infra personnalisée. Principes clés : Simplicité, mesure, stateless essentiel, cache/asynchrone, sharding prudent, compromis (CAP), coût de la complexité. Patterns d'Architecture 2026 - Du Hype à la Réalité du Terrain (Part 1/2) - https://blog.ippon.fr/2026/01/30/patterns-darchitecture-2026-part-1/ L'article présente quatre patterns d'architecture logicielle pour répondre aux enjeux de scalabilité, résilience et agilité business dans les systèmes modernes Il présentent leurs raisons et leurs pièges Un bon rappel L'Event-Driven Architecture permet une communication asynchrone entre systèmes via des événements publiés et consommés, évitant le couplage direct Les bénéfices de l'EDA incluent la scalabilité indépendante des composants, la résilience face aux pannes et l'ajout facile de nouveaux cas d'usage Le pattern API-First associé à un API Gateway centralise la sécurité, le routage et l'observabilité des APIs avec un catalogue unifié Le Backend for Frontend crée des APIs spécifiques par canal (mobile, web, partenaires) pour optimiser l'expérience utilisateur CQRS sépare les modèles de lecture et d'écriture avec des bases optimisées distinctes, tandis que l'Event Sourcing stocke tous les événements plutôt que l'état actuel Le Saga Pattern gère les transactions distribuées via orchestration centralisée ou chorégraphie événementielle pour coordonner plusieurs microservices Les pièges courants incluent l'explosion d'événements granulaires, la complexité du debugging distribué, et la mauvaise gestion de la cohérence finale Les technologies phares sont Kafka pour l'event streaming, Kong pour l'API Gateway, EventStoreDB pour l'Event Sourcing et Temporal pour les Sagas Ces patterns nécessitent une maturité technique et ne sont pas adaptés aux applications CRUD simples ou aux équipes junior Patterns d'architecture 2026 : du hype à la réalité terrain part. 2 - https://blog.ippon.fr/2026/02/04/patterns-darchitecture-2026-part-2/ Deuxième partie d'un guide pratique sur les patterns d'architecture logicielle et système éprouvés pour moderniser et structurer les applications en 2026 Strangler Fig permet de migrer progressivement un système legacy en l'enveloppant petit à petit plutôt que de tout réécrire d'un coup (70% d'échec pour les big bang) Anti-Corruption Layer protège votre nouveau domaine métier des modèles externes et legacy en créant une couche de traduction entre les systèmes Service Mesh gère automatiquement la communication inter-services dans les architectures microservices (sécurité mTLS, observabilité, résilience) Architecture Hexagonale sépare le coeur métier des détails techniques via des ports et adaptateurs pour améliorer la testabilité et l'évolutivité Chaque pattern est illustré par un cas client concret avec résultats mesurables et liste des pièges à éviter lors de l'implémentation Les technologies 2026 mentionnées incluent Istio, Linkerd pour service mesh, LaunchDarkly pour feature flags, NGINX et Kong pour API gateway Tableau comparatif final aide à choisir le bon pattern selon la complexité, le scope et le use case spécifique du projet L'article insiste sur une approche pragmatique : ne pas utiliser un pattern juste parce qu'il est moderne mais parce qu'il résout un problème réel Pour les systèmes simples type CRUD ou avec peu de services, ces patterns peuvent introduire une complexité inutile qu'il faut savoir éviter Méthodologies Le rêve récurrent de remplacer voire supprimer les développeurs https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html Depuis 1969, chaque décennie voit une tentative de réduire le besoin de développeurs (de COBOL, UML, visual builders… à IA). Motivation : frustration des dirigeants face aux délais et coûts de développement. La complexité logicielle est intrinsèque et intellectuelle, non pas une question d'outils. Chaque vague technologique apporte de la valeur mais ne supprime pas l'expertise humaine. L'IA assiste les développeurs, améliore l'efficacité, mais ne remplace ni le jugement ni la gestion de la complexité. La demande de logiciels excède l'offre car la contrainte majeure est la réflexion nécessaire pour gérer cette complexité. Pour les dirigeants : les outils rendent-ils nos développeurs plus efficaces sur les problèmes complexes et réduisent-ils les tâches répétitives ? Le "rêve" de remplacer les développeurs, irréalisable, est un moteur d'innovation créant des outils précieux. Comment creuser des sujets à l'ère de l'IA générative. Quid du partage et la curation de ces recherches ? https://glaforge.dev/posts/2026/02/04/researching-topics-in-the-age-of-ai-rock-solid-webhooks-case-study/ Recherche initiale de l'auteur sur les webhooks en 2019, processus long et manuel. L'IA (Deep Research, Gemini, NotebookLM) facilite désormais la recherche approfondie, l'exploration de sujets et le partage des résultats. L'IA a identifié et validé des pratiques clés pour des déploiements de webhooks résilients, en grande partie les mêmes que celles trouvées précédemment par l'auteur. Génération d'artefacts par l'IA : rapport détaillé, résumé concis, illustration sketchnote, et même une présentation (slide deck). Guillaume s'interroge sur le partage public de ces rapports de recherche générés par l'IA, tout en souhaitant éviter le "AI Slop". Loi, société et organisation Le logiciel menacé par le vibe coding https://www.techbuzz.ai/articles/we-built-a-monday-com-clone-in-under-an-hour-with-ai Deux journalistes de CNBC sans expérience de code ont créé un clone fonctionnel de Monday.com en moins de 60 minutes pour 5 à 15 dollars. L'expérience valide les craintes des investisseurs qui ont provoqué une baisse de 30% des actions des entreprises SaaS. L'IA a non seulement reproduit les fonctionnalités de base mais a aussi recherché Monday.com de manière autonome pour identifier et recréer ses fonctionnalités clés. Cette technique appelée "vibe-coding" permet aux non-développeurs de construire des applications via des instructions en anglais courant. Les entreprises les plus vulnérables sont celles offrant des outils "qui se posent sur le travail" comme Atlassian, Adobe, HubSpot, Zendesk et Smartsheet. Les entreprises de cybersécurité comme CrowdStrike et Palo Alto sont considérées plus protégées grâce aux effets de réseau et aux barrières réglementaires. Les systèmes d'enregistrement comme Salesforce restent plus difficiles à répliquer en raison de leur profondeur d'intégration et de données d'entreprise. Le coût de 5 à 15 dollars par construction permet aux entreprises de prototyper plusieurs solutions personnalisées pour moins cher qu'une seule licence Monday.com. L'expérience soulève des questions sur la pérennité du marché de 5 milliards de dollars des outils de gestion de projet face à l'IA générative. Conférences En complément de l'agenda des conférences de Aurélie Vache, il y a également le site https://javaconferences.org/ (fait par Brian Vermeer) avec toutes les conférences Java à venir ! La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-13 février 2026 : Touraine Tech #26 - Tours (France) 12-13 février 2026 : World Artificial Intelligence Cannes Festival - Cannes (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18 mars 2026 : Jupyter Workshops: AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing - Saint-Maur-des-Fossés (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 31 mars 2026-1 avril 2026 : FlowCon France 2026 - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 2-3 avril 2026 : Xen Spring Meetup 2026 - Grenoble (France) 7 avril 2026 : PyTorch Conference Europe - Paris (France) 9-10 avril 2026 : Android Makers by droidcon 2026 - Paris (France) 9-11 avril 2026 : Drupalcamp Grenoble 2026 - Grenoble (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 17-18 avril 2026 : Faiseuses du Web 5 - Dinan (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 20-22 août 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Perform 2026 felt like a turning point for Dynatrace, and when Steve Tack joined me for his fourth appearance on the show, it was clear this was not business as usual.  We began with a little Perform nostalgia, from Dave Anderson's unforgettable "Full Stack Baby" moment to the debut of AI Rick on the keynote stage. But the humor quickly gave way to substance. Because beneath the spectacle, Dynatrace introduced something that signals a broader shift in observability: Dynatrace Intelligence. Steve was candid about the problem they set out to solve. Too much focus on ingesting data. Too much time spent stitching tools together. Too many dashboards. Too many alerts. The real opportunity, he argued, is turning telemetry into trusted, automated action. And that means blending deterministic AI with agentic systems in a way enterprises can actually trust. We unpacked what that looks like in practice. From United Airlines using a digital cockpit to improve operational performance, to TELUS and Vodafone demonstrating measurable ROI on stage, the emphasis at Perform was firmly on production outcomes rather than pilot projects. As Steve put it, the industry has spent long enough in "pilot purgatory." The next phase demands real-world deployment and real return. A big part of that confidence comes from the foundations Dynatrace has laid with Grail and Smartscape. By combining unified telemetry in its data lakehouse with real-time topology mapping and causal AI, Dynatrace is positioning itself as the engine behind explainable, trustworthy automation. When hyperscaler agents from AWS, Azure, or Google Cloud call Dynatrace Intelligence, they are expected to receive answers grounded in causal context rather than probabilistic guesswork. We also explored what this means for developers, who often carry the burden of alert fatigue and fragmented tooling. New integrations into VS Code, Slack, Atlassian, and ServiceNow aim to bring observability directly into the developer workflow. The goal is simple in theory and complex in execution: keep engineers in their flow, reduce toil, and amplify human decision-making rather than replace it. Of course, autonomy raises questions about risk. Steve acknowledged that for now, humans remain firmly in the loop, with most agentic interactions still requiring checkpoints. But as trust grows, so will the willingness to let systems self-optimize, self-heal, and remediate issues automatically. We closed by zooming out. In a market saturated with AI claims, Steve encouraged listeners to bet on change rather than cling to the status quo. There will be hype. There will be agent washing. But there is also real value emerging for those prepared to experiment, learn, and scale responsibly. If you want to understand where AI observability is heading, and how deterministic and agentic intelligence can coexist inside enterprise operations, this episode offers a grounded, practical perspective straight from the Perform show floor.

This week the TJL crew reports and analyzes the news coming from Atlassian's Team on Tour: Government event in Washington D.C. Join us as Alex plays field reporter giving updates from the event!The Jira Life=====================================Having trouble keeping up with when we are live? Sign up for our Atlassian Community Group!https://ace.atlassian.com/the-jira-life/Or Follow us on LinkedIn!  / the-jira-life  Become a member on YouTube to get access to perks:https://www.youtube.com/@thejiralife/...Hosts:Alex "Dr. Jira" Ortiz ⁠  / alexortiz89  ⁠⁠   / @apetechtechtutorials  ⁠ ⁠Rodney "The Jira Guy" Nissen ⁠  / rgnissen  ⁠⁠https://thejiraguy.com⁠Sarah Wright ⁠  / satwright  ⁠ Producer:"King Bob" Robert Wen   / robert-wen-csm-spc6-a552051  Executive Producer: Lina OrtizMusic provided by Monstercat:=====================================Intro: Nitro Fun - Cheat Codes   / monstercat  Outro: Fractal - Atrium   / monstercatinstinct  

Liz Bronson, VP of People at Skimmer, joined us on The Modern People Leader to talk about intentionally “flatlining” her career for a period of time to prioritize parenting. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode282Sponsor Links:

After 12 years as the Work Futurist at Atlassian, Dom Price made the decision to leave a role so intertwined with who he was that even introducing himself meant saying those two things in the same breath. In this episode, Dom and I explore the human side of change - the fog, the discomfort, the loss of structure, and the surprising freedom that comes when you finally say out loud, “I don’t know yet.” Dom walks me through the reflection process that led to this moment, how he’s sitting with uncertainty rather than trying to outrun it, and the identity untangling that comes with stepping away from a global brand. We also dive into what he’s seeing inside boardrooms right now, why so many leaders are struggling to adapt to AI, and the mindset shift that separates those who thrive from those who wait it out. Dom and I discuss: The realisation that it was time for change - even without knowing what came next How Dom uses the “five Ls” every 90 days to check in on what’s working and what’s not The emotional rollercoaster of losing structure, status, and the adrenaline of a big corporate role How trusted friends helped Dom challenge his assumptions and experiment with “trying before buying” in his next chapter What leaders are getting wrong about AI and transformation - and the three patterns Dom sees repeatedly in boardrooms The human side of tech change and why organisations must upgrade their human systems, not just their technical ones Why productivity gains don’t matter unless you know how to reinvest the time The leadership behaviours that matter most in times of rapid change KEY QUOTES “Even though it was just one word, it felt like the wrapper around my whole identity.” “I had to say out loud, I’m okay not knowing what that is — and that was the hard bit.” “When you take away those foundations, it’s like a shot of discomfort I hadn’t felt for a long time.” Connect with Dom Price on Instagram, LinkedIn and his website. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits:Host: Amantha Imber Sound Engineer: The Podcast Butler See omnystudio.com/listener for privacy information.

Isabel Naidoo, Chief People Officer at Wise, joined us on The Modern People Leader to share how Wise builds a cohesive employee experience across global offices while still honoring local identity. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode281Sponsor Links:

In der heutigen Folge sprechen die Finanzjournalisten Philipp Vetter und Holger Zschäpitz über gute Laune dank OpenAI, einen krassen Einbruch bei Hims & Hers und einen schwachen Tag für deutsche Immobilienwerte. Nvidia, Oracle, Microsoft, SAP, Siemens, Novo Nordisk, Samsung Electronics, Micron, Vonovia, TAG Immobilien, Kyndryl, Monday.com, Workday, AppLovin, On Semi, Amazon, Meta, J.C. Penney, Salesforce, ServiceNow, Crowdstrike, Palo Alto Networks, Asana, Atlassian, Cognizant, den Expanded Tech-Software Sector ETF (WKN: A0B6MN) und die Anleihen von Nvidia Dollar bis 2050 (WKN: A28VHH), Alphabet bis 2050 (WKN: A2802E), Alphabet Dollar 2027 (WKN: A2802B), Oracle Dollar bis 2064 (WKN: A3L339). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Der Börsen-Podcast Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Show DescriptionWhen Dave dies, who gets his domain name? How OpenClaw is a massive security concern, tips on handling a broad design surface area with a design system, changing database values with text-transform, should you declare CSS properties with @property, and was Chris wrong about CSS? Listen on WebsiteWatch on YouTubeLinks Your Home for a Century: Our 100-Year Domains and Plans 1Password Access after Death, Legacy Contacts | 1Password Community From magic to malware: How OpenClaw's agent skills become an attack surface | 1Password Openclaw (clawdbot), Agents and the Age of Personal Software - YouTube bbPress.org WooCommerce cap - no cap Nice Select · February 3, 2026 SponsorsAxe-ConAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

The guys discuss a wild week on markets and the SaaS catastrophe. Atlassian's share price destroyed as investors question AI's impact. Xero's horrid year continues to get worse. Bitcoin drops below US$70,000, how has CTM's wealthy colourful founder avoided scrutiny and what is Canva really worth? Thanks for listening! Join us on LinkedIn: https://www.linkedin.com/company/the-contrarians-with-adam-and-adir-podcast Subscribe on YouTube for all our video content: https://https://www.youtube.com/@ContrariansPodcast Follow us on Instagram: https://www.instagram.com/contrarianspod Follow us on TikTok: https://www.tiktok.com/@contrarianspodSee omnystudio.com/listener for privacy information.

The government is eyeing a major shake-up of the capital gains tax discount, and investors might be about to feel the pain. Atlassian’s share price fell 5% despite a double-digit growth in revenue as investors get worried that AI will eat its entire business up…for breakfast! KPMG is planning to outsource three quarters of its executive assistant positions to the Philippines. _ Download the free app (App Store): http://bit.ly/FluxAppStore Download the free app (Google Play): http://bit.ly/FluxappGooglePlay Daily newsletter: https://bit.ly/fluxnewsletter Flux on Instagram: http://bit.ly/fluxinsta Flux on TikTok: https://www.tiktok.com/@flux.finance —- The content in this podcast reflects the views and opinions of the hosts, and is intended for personal and not commercial use. We do not represent or endorse the accuracy or reliability of any opinion, statement or other information provided or distributed in these episodes.__See omnystudio.com/listener for privacy information.

What does SteveD think about when he wakes up in the morning? Find out on this week's PlayingFTSE Show!It's been quite the week in the stock market. But which Steve has been busy, and which has been biding his time waiting for an opportunity?Alphabet posted some outstanding results for the fourth quarter of 2025. Cloud growth is rapid and search is going from strength to strength boosted by Gemini.The stock fell, though, on news of a big capex spend somewhere between $175 and $185bn for this year. Is that too much (and why is the firm still paying a dividend)?Amazon shares dropped 10% after news of a $200bn capex spend. But Steve W doesn't think that's a huge amount in the context of AWS's Q4 revenues. Analysts at D.A. Davidson don't agree, though. They think the company is faltering and being left behind by competitors – does Steve D agree?It's been a long time since we talked about Atlassian. But the stock has been caught up in the SAAS selloff this week and Steve D thinks it's time to look again. What would it take for an AI newcomer to do serious damage to an incumbent software company? Or is this a huge buying opportunity in the sector? Only on this week's PlayingFTSE Podcast!► Get a free fractional share!This show is sponsored by Trading 212! To get free fractional shares worth up to 100 EUR / GBP, you can open an account with Trading 212 through this link https://www.trading212.com/Jdsfj/FTSE. Terms apply.When investing, your capital is at risk and you may get back less than invested.Past performance doesn't guarantee future results.► Get 15% OFF Fiscal.ai:Huge thanks to our sponsor, Fiscal.ai, the best investing toolkit we've discovered! Get 15% off your subscription with code below and unlock powerful tools to analyze stocks, discover hidden gems, and build income streams. Check them out at Fiscal.ai!https://fiscal.ai/?via=steve► Follow Us On Substack:Sign up for our Substack and get light-hearted, info-packed discussions on everything from market trends and investing psychology to deep dives into different asset classes. We'll analyse what makes the best investors tick and share insights that challenge your thinking while keeping things engaging.You'll also find our new 10-week investing and research course available right now. It's completely free, with no sign-up required, no payment, and none of the usual BS. Don't miss out. Join us today and get stuck in.https://playingftse.substack.com/► Support the show:Appreciate the show and want to offer your support? You could always buy us a coffee at: https://ko-fi.com/playingftse(All proceeds reinvested into the show and not to coffee!)► Timestamps:0:00 INTRO & OUR WEEKS9:11 ALPHABET EARNINGS31:28 AMAZON50:07 ATLASSIAN► Show Notes:What's been going on in the financial world and why should anyone care? Find out as we dive into the latest news and try to figure out what any of it means. We talk about stocks, markets, politics, and loads of other things in a way that's accessible, light-hearted and (we hope) entertaining. For the people who know nothing, by the people who know even less. Enjoy► Wanna get in contact?Got a question for us? Drop it in the comments below or reach out to us on Instagram: https://www.instagram.com/playing_ftse/► Enquiries: Please email - playingftsepodcast@gmail(dot)com► Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Always consult with a qualified financial professional before making any investment decisions.

Chase Warrington, Head of Operations at Doist, joined us on The Modern People Leader to break down how async-first work enables faster decision-making, stronger culture, and scalable operations. We talked about building trust without offices, the systems and rituals behind Doist's execution velocity, and why async workflows are foundational to effective AI adoption.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode280Sponsor Links:

This week the TJL crew sits down with Josh Costella, Lead Architect for Sentify and co-lead of the Phoenix ACE chapter. Join us as we talk about Atlassian Government Cloud and Isolated Cloud and other topics sure to be discussed at TEAM 26!The Jira Life=====================================Having trouble keeping up with when we are live? Sign up for our Atlassian Community Group!https://lnkd.in/g5834KixOr Follow us on LinkedIn!https://lnkd.in/epszdbRjBecome a member on YouTube to get access to perks:https://lnkd.in/gzDWDAzNHosts:- Alex "Dr. Jira" Ortiz https://lnkd.in/eP2TQHcE https://lnkd.in/ewxmQs2s- Rodney "The Jira Guy" Nissen https://lnkd.in/exhJAMVm https://thejiraguy.com- Sarah Wright https://lnkd.in/gA6vNvmX Producer:- "King Bob" Robert Wen https://lnkd.in/gTpSr7_vExecutive Producer: - Lina OrtizMusic provided by Monstercat:=====================================Intro: Nitro Fun - Cheat Codeshttps://lnkd.in/eZp7w7ieOutro: Fractal - Atriumhttps://lnkd.in/eMpcN8rf

The Product Momentum team first met Oji Udezue following his keynote at INDUSTRY 2025. And we just knew we had to have him on the pod. Oji is a highly skilled product leader whose CV includes companies like Calendly, Atlassian, and Microsoft. In addition, he co-authored (with wife, Ezinne Udezue) Building Rocket Ships, Product Management for High-Growth Companies a manual for product leaders, product managers, and executives who want to build faster, better, and more profitably (raise your hand if that describes you!). In this episode, we begin broadly by discussing the evolving role of product management in the era of AI. We then pivot quickly, drilling into some of the new challenges that require today’s product leaders to: Readjust to the accelerated pace of product development in today's AI-empowered world (the three-speed problem), Re-emphasize product management's core principles that remain constant, and Reconsider what counts as essential skills for today's product manager. AI's Impact and the Three-Speed Problem Companies do three things to build great technology products, Oji says: customer science, construction/development, and go-to-market. Each step on this cycle moves at its own pace. Before AI, engineering speed was the process bottleneck. But with AI-driven automation, construction has become much faster, creating new challenges in synchronizing these three phases. “We're all going to spend a lot of time balancing that equation,” Oji adds, “finding the practices, the team structure, the team ratios, the new AI tools that help us keep this thing fast but then speed up customer science and GTM.“ Essential Skills for Today's ‘Renaissance PM' The AI transformation calls on product managers to add new arrows to their quiver of skills – e.g., curiosity, humility, agency among them. In the same way we transitioned from a pre-internet to internet environment, Oji adds, AI “requires brand new thinking.” But the old skills still apply: “These are worth bringing up because a lot of PMs don't have them: communication, creativity, the ability to ship, and leadership – being the kind of person people want to follow – all of that has to do with judgment. The role is evolving into that of a “renaissance PM” who blends traditional skills with new AI-related capabilities. Evolution of the PM Role Has the PM role evolved so much that the skills required to perform it are now preeminent to the role itself? Is that where AI is taking us? “I’ve always thought the skills…the mindset…was way more important,” Oji offers. “The title just gives us a way to put it in a box. The title is nothing without the skills. That's why I wrote the book. Because I want more people to have the skillsets” required to succeed in this new world order. The post 180 / Oji Udezue: The Renaissance PM – Core Skills for Today's AI-Driven World appeared first on ITX Corp..

Show DescriptionWe're passing over another milestone episode and answering your Q's with our A's while we do it: Dave goes 3D printing, should CSS be inside a web component, Chris is trying to build web component for popovers, why isn't Vue used or talked about more, finding bugs in blocks in the new CodePen, and we're grateful for 700 episodes. Listen on WebsiteWatch on YouTubeLinks Vue.js - The Progressive JavaScript Framework | Vue.js vuejs/petite-vue Syntax: Hacking Pizza Ordering For Fun And Profit - YouTube Theo - Twitch SponsorsAxe-ConAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

Jani Sanguino joined us on The Modern People Leader to share how Viva built an award-winning, manager-led AI transformation. We talked about the three AI competencies they prioritized, their 13-week manager-led learning path, and the most impactful use cases for their business.----  Go deeper on Viva's AI Journey in Roundtable with Jani (only 10 seats)Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode279----Sponsor Links:

Sandbox flaw exposes n8n instances Fake Moltbot assistant drops malware PeckBirdy takes flight for cross-platform attacks Check out the show notes here: https://cisoseries.com/cybersecurity-news-sandbox-flaw-exposes-n8n-instances-fake-moltbot-assistant-drops-malware-peckbirdy-takes-flight-for-cross-platform-attacks/ Huge thanks to our episode sponsor, Conveyor Another security questionnaire hits your desk.   Ever wish it could magically disappear? You already have the answers that customers should self-serve, but they can't find the info in your Trust Center.   That's why Conveyor built the first truly agentic Trust Center.    An AI Agent lives inside it, answering customer questions, sharing documents, and even completing full questionnaires instantly.   Customers get what they need fast. it's magical, touchless, and extremely accurate.   Join teams at Atlassian, Zapier, and more at conveyor.com.  

US cyber chief uploaded sensitive files into public ChatGPT Vibe-coded 'Sicarii' ransomware can't be decrypted WhatsApp account feature combats spyware Check out the show notes here: https://cisoseries.com/cybersecurity-news-us-cyber-chief-uploaded-sensitive-files-into-public-chatgpt-vibe-coded-sicarii-ransomware-cant-be-decrypted-whatsapp-account-feature-combats-spyware/  Huge thanks to our episode sponsor, Conveyor Ever dream of giving customers instant answers to their security questions without ever filling out another questionnaire?   Meet Conveyor's new Trust Center Agent.   The Agent lives in your Conveyor Trust Center and answers every customer question, surfaces documents and even completes full questionnaires instantly so customers can finish their review and be on their way.   Top tech companies like Atlassian, Zapier, and more are using Conveyor to automate away tedious work. Learn more at conveyor.com.  

In this episode of the Risk & Insurance Education Alliance Insights podcast, CEO William Hold talks with Dan Chuparkoff, AI expert, innovation educator, and former product leader at Google, McKinsey, and Atlassian. Dan shares his compelling journey—from discovering disruptive technology as a teenager in an architecture firm to spending 25 years guiding teams through massive shifts in how work gets done.He discusses how early exposure to breakthrough tools shaped his understanding of digital transformation, why AI is accelerating faster than any previous change in workplace technology, and how professionals can adapt without fear. Dan explains the real impact of AI on today's workforce—why it takes away repetitive tasks rather than entire jobs, how it turns “word managers” into problem solvers, and why human skills like empathy, creativity, and judgment remain more valuable than ever. This conversation is full of insights into the future of work, collaboration, and the growing importance of authentic human connection in an AI‑saturated world. Key Topics Covered:✅ Dan's early journey from architecture intern to software developer✅ Lessons learned from leading teams at Google, McKinsey, and Atlassian✅ How AI evolved from autocomplete to powerful generative assistants✅ Why AI won't replace most jobs—but will reshape daily tasks✅ Improving productivity with AI: meetings, email, communication, and strategy✅ The “analog renaissance” and the rising value of real human interaction✅ How professionals in risk and insurance can prepare for AI‑driven change Why Listen:If you're an insurance professional, leader, educator, or simply curious about how AI will redefine work, this episode offers practical guidance and a forward‑looking perspective. Dan's insights will help you understand the opportunities, limitations, and human implications of AI—empowering you to adapt, innovate, and thrive in a rapidly changing industry.Focusing exclusively on risk management and insurance professional development, the Risk & Insurance Education Alliance provides a practical advantage at every career stage, positioning our participants and their clients for confidence and success. Focusing exclusively on risk management and insurance professional development, the Risk & Insurance Education Alliance provides a practical advantage at every career stage, positioning our participants and their clients for confidence and success.

We recapped MPL Live Austin with attendees Cindy Lopez (Senior Director, People & Culture, Pattern Bioscience) and Marlene Arroyo (Founder, Peoplecraft).----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode278Sponsor Links:

How do you transform a collection of individual tools into a cohesive, AI-powered symphony? Vineeta Puranik (CPTO @ SmartBear) dissects the strategy behind evolving a product vision from point solutions to a unified multi-product ecosystem. We explore the critical architectural distinction between "AI bolt-on" and "AI native" strategies, frameworks for seamless M&A integration, and how to design for varying levels of customer AI readiness. Vineeta also discusses the shift to test “does it match intent”, using “jobs to be done” to drive solving entire workflows not just tool capabilities, and designing user experiences for both human personas and AI agents. ABOUT VINEETA PURANIKVineeta Puranik serves as Chief Product and Technology Officer (CPTO) at SmartBear, where she leads the company's global technology and product strategy to empower developers and enterprises worldwide. A seasoned technology executive with over two decades of experience, she combines strategic vision with hands-on leadership to drive innovation, growth, and operational excellence.At SmartBear, Vineeta oversees development, cloud engineers, AI, and architecture, and has been instrumental in scaling centers of excellence in India and Poland, launching the Developer Academy, and advancing the company's hub-based product strategy – Swagger suite for API capabilities, Test Hub, and Insight Hub. Recognized for her collaborative, people first leadership and commitment to inclusion, she was named a 2024 Women Worth Watching in STEM by Profiles in Diversity Journal. This episode is brought to you by Retool!What happens when your team can't keep up with internal tool requests? Teams start building their own, Shadow IT spreads across the org, and six months later you're untangling the mess…Retool gives teams a better way: governed, secure, and no cleanup required.Retool is the leading enterprise AppGen platform, powering how the world's most innovative companies build the tools that run their business. Over 10,000 organizations including Amazon, Stripe, Adobe, Brex, and Orangetheory Fitness use the platform to safely harness AI and their enterprise data to create governed, production-ready apps.Learn more at Retool.com/elc SHOW NOTES:SmartBear's evolution from individual tools to a connected ecosystem (3:34)The cultural shift toward vendor consolidation and avoiding context switching (5:39)Why "Jobs-to-be-Done" must drive the workflow, not just the tool capabilities (9:35)The shift in testing: Moving from "does it crash?" to "does it match intent?" in an AI world (14:26)The architectural difference between "AI Bolt-On" and "AI Native" products (20:44)The levels of autonomy: A framework for moving from manual control to autonomous testing (24:10)Designing for different customer personas: Addressing security, policy, and AI readiness (30:01)Rapid Fire Questions (32:50) LINKS AND RESOURCES Books MentionedOwn the Room: Discover Your Signature Voice to Master Your Leadership Presence by Amy Jen Su and Muriel Maignan Wilkins.The Leader You Want to Be: Five Essential Principles for Bringing Out Your Best Self--Every Day by Amy Jen Su.SmartBear Tools & ProductsSmartBear[**Reflect**](https://reflect.run/?utm_medium=referral&utm_source=smartbear.com&utm_campaign=prodnav&_gl=1*4gpwr4*_gcl_au*MTAzOTk0MjM2LjE3Njk0NjU4NTA.) – Mentioned as their "AI Native" product for autonomous testing.Zephyr Scale – Mentioned regarding the Atlassian ecosystem integration.[**QMetry**](https://www.qmetry.com/?_gl=1*1d5sv56*_gcl_au*MTAzOTk0MjM2LjE3Njk0NjU4NTA.) – Recently acquired test management product.[**Swagger**](https://swagger.io/product/?_gl=1*gtu348*_gcl_au*MTAzOTk0MjM2LjE3Njk0NjU4NTA.) – Mentioned as the suite for API design and compliance. This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Link to episode page This week's Department of Know is hosted by Rich Stroffolino with guests Krista Arndt, associate CISO, St. Luke's University Health Network, and Jason Shockey, CISO, Cenlar FSB Thanks to our show sponsor, Conveyor Ever dream of giving customers instant answers to their security questions without ever filling out another questionnaire? Meet Conveyor's new Trust Center Agent. The Agent lives in your Conveyor Trust Center and answers every customer question, surfaces documents and even completes full questionnaires instantly so customers can finish their review and be on their way. Top tech companies like Atlassian, Zapier, and more are using Conveyor to automate away tedious work. Learn more at conveyor.com. All links and the video of this episode can be found on CISO Series.com

Show DescriptionWeb Day Out is coming up and Jeremy Keith from Clearleft (name pending the ShopTalk Show rebrand) is here to chat about it and while we've got him, Dave throws him on the hot seat to answer some hard hitting journalism questions about the state of the web in 2026. Listen on WebsiteWatch on YouTubeLinks Web Day Out in Brighton, March 12th 2026 Strategic design partners for website and service design | Clearleft css.properties Raycast - Your shortcut to everything Rachel Andrew – Doing stuff on the web since 1996. Browser support at Clearleft CSS Day 2026, 11th & 12th of June, Amsterdam SponsorsAxe-conAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

Microsoft Outlook and boot problems Sandworm likely behind cyberattack on Poland's power grid Dresden museum network suffers cyberattack Huge thanks to our episode sponsor, Conveyor Ever wish your customers could magically get answers to their own security questionnaires before they ever hit your desk?   We've heard this wish from hundreds of teams so Conveyor just launched a new Trust Center AI Agent.    The Agent lives in your Conveyor hosted Trust Center and answers customer questions, surfaces documents and even completes full questionnaires instantly so customers can finish their review without your intervention.   Join top tech companies using Conveyor today like Atlassian, Zapier and more. Check it out at Conveyor.com   Find the stories behind the headlines at CISOseries.com.

In this episode of The Jira Life, we sit down with Robert Hean of Hean Tech to explore how Confluence documentation is evolving in the age of Rovo and Atlassian Intelligence.As AI teammates like Rovo become part of everyday work, the quality of your documentation matters more than ever. We discuss what “good documentation” really means today, common mistakes teams make in Confluence, and how to structure content so Rovo can deliver accurate, helpful answers instead of amplifying documentation chaos.Robert shares practical strategies for creating AI-ready Confluence spaces, improving knowledge discoverability, and aligning documentation practices with modern Jira and Jira Service Management workflows. Whether you are an Atlassian admin, documentation owner, or team lead preparing for AI-powered collaboration, this conversation will help you future-proof your knowledge base.The Jira Life=====================================Having trouble keeping up with when we are live? Sign up for our Atlassian Community Group!https://ace.atlassian.com/the-jira-life/Or Follow us on LinkedIn!https://www.linkedin.com/company/the-jira-life/Become a member on YouTube to get access to perks:https://www.youtube.com/@thejiralife/joinHosts:- Alex "Dr. Jira" Ortiz https://www.linkedin.com/in/alexortiz89/ https://www.youtube.com/@ApetechTechTutorials- Rodney "The Jira Guy" Nissen https://www.linkedin.com/in/rgnissen/ https://thejiraguy.com- Sarah Wright https://www.linkedin.com/in/satwright/ Producer:- "King Bob" Robert Wen https://www.linkedin.com/in/robert-wen-csm-spc6-a552051/Executive Producer: - Lina OrtizMusic provided by Monstercat:=====================================Intro: Nitro Fun - Cheat Codeshttps://www.youtube.com/c/monstercatOutro: Fractal - Atriumhttps://www.youtube.com/c/monstercatinstinct

Jon Couture, CHRO at Vanguard, joined The Modern People Leader to share how Vanguard is balancing 50 years of legacy with the next 50 years of change. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode277Sponsor Links:

“I don't worry about being replaced by AI. I worry about being replaced by someone who's really good at using AI.”Atlassian has 10,000+ engineers currently split-testing the world's top AI coding tools, from GitHub Copilot and Cursor to Claude Code. In this episode, Co-Founder & CEO Mike Cannon-Brookes joins Lukas Biewald to share what their data reveals about the world's best AI tools today.Hear how 24 years of building a tech giant and a massive internal study on AI productivity have shaped Mike's vision for the future of dev jobs.Connect with us here:Mike Cannon-Brookes: https://www.linkedin.com/in/mcannonbrookes/?originalSubdomain=auAtlassian: https://www.linkedin.com/company/atlassian/?viewAsMember=trueLukas Biewald: https://www.linkedin.com/in/lbiewald/ Weights & Biases: https://www.linkedin.com/company/wandb/00:00 Trailer01:08 Introduction03:11 Connecting Technology and Business Teams07:22 The Impact of AI on Business Workflows13:26 Developer Productivity and AI21:03 Measuring Developer Efficiency25:41 Future of AI in Development34:59 Legacy Technology and Code Changes39:29 AI's Role in Developer Productivity47:40 AI and Junior Developers52:30 Product-Led Growth and Business Strategy01:00:29 Core Metrics for Sustainable Growth01:06:56 Staying Creative in the Tech Industry

Show DescriptionWhy are AI tools so bad at CSS layout, Robin Rendle inspired monospaced fonts, CodePen's slideVars library, why are Safari dev tools so hard to use, button follow up, and what player component does ShopTalk use for it's website? Listen on WebsiteWatch on YouTubeLinks Clair Obscur | Expedition 33 Apple One Where's the AI design renaissance? Outlyne Bolt Lando Norris Robin Rendle Dave Rupert Casey Newton slideVars - Automatic Sliders for CSS Custom Properties Media Chrome Docs SponsorsAxe-conAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

The guys deep dive into the incredibly profitable world of Jellycats, Atlassian’s share price crashes 28% in a month and Adam does (another) victory lap, King’s Counsels score a payrise, Adelaide Writers Festival collapses under the weightr of massive taxpayer funding, Jessy Wu comes on to talk about the death of SXSW Sydney and Adam’s joyful new passport experience. Thanks for listening! Join us on LinkedIn: https://www.linkedin.com/company/the-contrarians-with-adam-and-adir-podcast Subscribe on YouTube for all our video content: https://https://www.youtube.com/@ContrariansPodcast Follow us on Instagram: https://www.instagram.com/contrarianspod Follow us on TikTok: https://www.tiktok.com/@contrarianspodSee omnystudio.com/listener for privacy information.

In this episode of The Modern People Leader, Sarika Lamont, Chief People Officer at Vidyard, joins us to unpack her non-traditional journey into HR and how AI is reshaping the role of People teams. She shared practical AI use cases from onboarding automation to AI coaching, along with the mindset shifts HR leaders must make to lead change rather than fear it. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode276Sponsor Links:

Alexandra Szynkarski, Head of EMEA Regional Marketing delves into Amplitude's unique position in the digital analytics space, highlighting how the platform goes beyond traditional metrics to provide deep insights into user behavior. Alexandra explains the importance of understanding customer needs and the role of data-driven decision-making in acquisition, retention, and monetization strategies. She discusses the evolving role of marketing leaders, the significance of regionalization in messaging, and the impact of AI on the future of marketing. Alexandra also offers advice for aspiring marketers, emphasizing the importance of curiosity and a well-rounded understanding of various marketing disciplines.   About Amplitude Amplitude is the leading AI digital analytics platform, helping over 4,500 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—build better products and digital experiences. With powerful AI Agents embedded across the platform, Product, Marketing & Growth teams can analyze, test, and optimize user experiences faster than ever, making Amplitude a best-in-class solution and a top-ranked leader in multiple categories in G2's Fall 2025 Report.   About Alexandra Szynkarski Alexandra Szynkarski is a Marketing Leader based in Paris, currently leading EMEA Regional Marketing at Amplitude, the AI Analytics Platform. She specializes in go-to-market strategies, regional growth, and building high-impact programs that impact business revenue. With experience scaling B2B technology across Europe, she's passionate about helping teams turn data into better customer experiences.   Time Stamps 00:00:18 - Guest Introduction: Alexandra Szynkarski 00:02:25 - The Importance of Regionalization in Marketing 00:03:12 - Overview of Amplitude's Product and Differentiation 00:08:11 - Amplitude's Application in B2B Marketing 00:11:22 - The Three Pillars: Acquisition, Retention, and Monetization 00:15:56 - Quality Demand Generation and Market Positioning 00:18:08 - Localization vs. Translation in Marketing 00:21:07 - The Future of Marketing Roles with AI Integration 00:24:48 - Advice for Aspiring Marketers   Quotes "At the end of the day, it's really about trying to understand how your prospects and your customers are moving through the digital journey." Alexandra Szynkarski, Head of EMEA Regional Marketing at Amplitude. "Our job is to make sure that the sales teams are speaking to those high intent buyers when it actually matters. It's not about volume; it's very much about quality." Alexandra Szynkarski, Head of EMEA Regional Marketing at Amplitude.   Follow Alexandra: Alexandra Szynkarski on LinkedIn: https://www.linkedin.com/in/alexandra-szynkarski-b1472926 Amplitude website: https://amplitude.com/   Amplitude on LinkedIn: https://www.linkedin.com/company/amplitude-analytics/   Follow Mike: Mike Maynard on LinkedIn: https://www.linkedin.com/in/mikemaynard/ Napier website: https://www.napierb2b.com/ Napier LinkedIn: https://www.linkedin.com/company/napier-partnership-limited/   If you enjoyed this episode, be sure to subscribe to our podcast for more discussions about the latest in Marketing B2B Tech and connect with us on social media to stay updated on upcoming episodes. We'd also appreciate it if you could leave us a review on your favourite podcast platform. Want more? Check out Napier's other podcast - The Marketing Automation Moment: https://podcasts.apple.com/ua/podcast/the-marketing-automation-moment-podcast/id1659211547

Greg March is the Partner & CEO of Noble People, an independent media agency with offices in New York. He leads media planning, buying, and strategic communications for brands like BJ's Wholesale Clubs, Stripe, Mike's Hot Honey, and Atlassian. Prior to Noble People, he spent seven years at Wieden+Kennedy New York, where he helped build the agency's digital media practice and served as Director of Media Strategy, working with clients including Nike, ESPN, Booking.com, and ABC.

Greet the New Year with the TJL crew! On our first episode of 2026, we aim to look forward and see what the new year will bring to our favorite Atlassian products and the Atlassian community!The Jira Life=====================================Having trouble keeping up with when we are live? Sign up for our Atlassian Community Group!https://ace.atlassian.com/the-jira-life/Or Follow us on LinkedIn!https://www.linkedin.com/company/the-jira-life/Become a member on YouTube to get access to perks:https://www.youtube.com/@thejiralife/joinHosts:- Alex "Dr. Jira" Ortizhttps://www.linkedin.com/in/alexortiz89/https://www.youtube.com/@ApetechTechTutorials- Rodney "The Jira Guy" Nissenhttps://www.linkedin.com/in/rgnissen/https://thejiraguy.com- Sarah Wrighthttps://www.linkedin.com/in/satwright/Producer:- "King Bob" Robert Wenhttps://www.linkedin.com/in/robert-wen-csm-spc6-a552051/Executive Producer: - Lina OrtizMusic provided by Monstercat:=====================================Intro: Nitro Fun - Cheat Codeshttps://www.youtube.com/c/monstercatOutro: Fractal - Atriumhttps://www.youtube.com/c/monstercatinstinct

Peter Fader and Jessica Zwaan joined The Modern People Leader to explore how customer-based audit principles can be applied to employees.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode275Sponsor Links:

This week, we're digging into The B1M's recent smash-hit video "Is The Line Really Dead?". Together, we're discussing if Saudi Arabia's mega build can survive 2026.Pre-order Fred's book MEGA BUILDS now

Launch your MVP in 2-6 months: https://www.saasmastery.com/call The lean startup dogma says build an MVP fast, iterate, find product-market fit. But that advice is outdated and costly for non-technical founders in 2025. This video exposes why 90% of MVPs fail or stall, how iteration costs kill bootstrapped SaaS during the "Long Slow Ramp of Death," and what to do instead: the Minimum Viable Offer framework with a working prototype to pre-sell and validate before the full build. Real examples from Slack, Airbnb, and Atlassian, plus the roadmap that turns raw SaaS ideas into launched products in 2-6 months Chapters (00:00:00) - Why 90% of MVPs Fail(00:01:49) - Why Most MVPs Fail and Why They're Not Worth It(00:07:10) - Non-Technical Software Founders: What They Need to Know(00:08:41) - The broken MVP model

Kirthi Mani, Chief People Officer at CLA, joins The Modern People Leader to explore why joy is a true competitive advantage and how people-first leadership drives sustainable performance. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode274Sponsor Links:

We talk a lot about using AI at startups…But what are more established companies doing to scale AI prototyping?What are the best ways to use AI to prototype with your design system?That's what today's episode is all about because we're talking with Lewis Healey (https://x.com/Lewishealey) and Kylor Hall (https://www.linkedin.com/in/kylorhall/) about how they scaled AI prototyping at Atlassian.Some highlights

Product managers are saving hours with AI, yet feel more uncertain than ever about whether their products will succeed. What's going on?In this episode of The Product Experience, Lily Smith and Randy Silver sit down with Axel Sooriah, product management evangelist at Atlassian, to unpack the findings from a large-scale survey into the state of product management today.Axel shares why so many teams are stuck on the hamster wheel of execution, how cross-functional collaboration still breaks down in practice, and why 84% of product managers doubt their products will succeed despite loving the craft. The conversation explores the real reasons behind PM anxiety, the role of leadership in creating confidence, and how reframing work around customer progress can re-energise teams.Chapters00:00 – Money, motivation, and product work01:12 – Axel Sooriah's product background02:16 – What a product management evangelist does05:38 – Why Atlassian ran the state of product management survey07:01 – AI productivity and the strategy time paradox11:32 – The hamster wheel of execution14:01 – Leadership, incentives, and product manager agency16:16 – Using AI in customer discovery18:17 – Cross-functional collaboration in practice22:06 – Why 84% of product managers doubt success26:16 – Discovery, evidence, and decision-making confidence28:47 – Fear and curiosity in the age of AI30:50 – Getting started with AI as a product manager32:54 – Profit focus and product team motivationOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Atlassian has announced plans to take on Google and Apple with a near-$1 billion acquisition of an AI-powered browse. Nvidia is investing $5 billion USD into its long-time rival Intel that flips a decades-long rivalry into a collaboration. OpenAI, the owner of ChatGPT wants to buy Google’s Chrome… if Google is forced by the courts to sell it _ Download the free app (App Store): http://bit.ly/FluxAppStore Download the free app (Google Play): http://bit.ly/FluxappGooglePlay Daily newsletter: https://bit.ly/fluxnewsletter Flux on Instagram: http://bit.ly/fluxinsta Flux on TikTok: https://www.tiktok.com/@flux.finance —- The content in this podcast reflects the views and opinions of the hosts, and is intended for personal and not commercial use. We do not represent or endorse the accuracy or reliability of any opinion, statement or other information provided or distributed in these episodes.__See omnystudio.com/listener for privacy information.

As the year comes to a close, we're revisiting a conversation that feels newly relevant. This week, we're re-releasing our CFO Thought Leader episode with Jonathan Carr, recorded three years ago—long before any exit was in view, but rich with insight into how he thinks about leadership, growth, and decision-making under uncertainty.That mindset was shaped early. Just 18 months after finishing college, Carr was placed in charge of a major Oracle implementation at a Stryker manufacturing plant in Puerto Rico. He had never led systems work before. The advice from his division controller was simple and direct: “find the opportunities that either get you promoted or fired,” Carr tells us.The six-month project forced him to work across manufacturing, IT, and finance to understand how transactions actually flowed through the plant. Carr describes the learning process as peeling back layers “like an onion,” where each answer revealed more complexity, he tells us. It was an early lesson in getting out of one's comfort zone and doing work before feeling fully prepared.That approach carried forward as Carr moved through FP&A, accounts receivable, and customer-facing roles, and later joined SurveyMonkey when the company was generating less than $100 million in revenue. There, he helped build finance capabilities, supported acquisitions, and participated in capital raises totaling nearly $1 billion, with less than $100 million in primary capital, Carr tells us.Later, at Atlassian, Carr was part of the finance leadership team during the company's transition from on-premise software to the cloud. The shift required conviction, transparency, and clear communication with employees and investors, even as near-term economics changed, Carr tells us.In the episode we're re-releasing today, you'll hear Carr reflect on growth, influence, and adaptability. “I reserve the right to get smarter,” he tells us—a line that neatly captures how he has approached each chapter of his career, long before the outcomes were known.

Pat Lencioni, founder of The Table Group and bestselling author behind The Five Dysfunctions of a Team and The 6 Types of Working Genius, joined us on The Modern People Leader. We talked about his origin story in organizational health, how Working Genius helps leaders prevent burnout by designing teams around strengths, and how HR leaders can build trust and stay grounded as AI reshapes work.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode273Sponsor Links:

Apple and Google issue emergency updates to patch zero-days.  Google links five additional Chinese state-backed hacking groups to “React2Shell.” France's Ministry of the Interior was hit by a cyberattack. Atlassian patches roughly 30 third-party vulnerabilities. Microsoft says its December 2025 Patch Tuesday updates are breaking Message Queuing. Researchers uncovered a massive exposed database with nearly 4.3 billion professional records openly accessible online. Britain's new MI6 chief warns of an “aggressive, expansionist, and revisionist” Russia. Monday Business Brief. On today's Threat Vector, ⁠Michael Heller⁠ from Unit 42 chats with security leaders ⁠Greg Conti⁠ and ⁠Tom Cross⁠ to unpack the hacker mindset and the idea of “dark capabilities”. A cyber holiday gift guide for the rest of us.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. Threat Vector Segment In this segment of Threat Vector, host ⁠Michael Heller⁠, Managing Editor for Cortex and Unit 42 and Executive Producer of the podcast, sits down with long-time security leaders ⁠Greg Conti⁠ and ⁠Tom Cross⁠ to unpack the hacker mindset and the idea of “dark capabilities” inside modern technology companies. You can listen to their full discussion here. Be sure to catch new episodes of Threat Vector by Palo Alto Networks every Thursday on your favorite podcast app. Selected Reading Apple, Google forced to issue emergency 0-day patches (The Register) Google links more Chinese hacking groups to React2Shell attacks (Bleeping Computer) French Interior Ministry confirms cyberattack on email servers (Bleeping Computer) Atlassian Patches Critical Apache Tika Flaw (SecurityWeek) Microsoft: December security updates cause Message Queuing failures (Bleeping Computer) 16TB of MongoDB Database Exposes 4.3 Billion Lead Gen Records (Hackread) MI6 chief warns 'front line is everywhere' and signals intent to pressure Putin (The Record) Saviynt raises $700 million in Series B growth equity financing. (The CyberWire Business Brief) Last-minute cybersecurity and privacy gifts your friends and family won't hate (This Week In Security) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.  Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

What if your team could feel more connected without ever mandating office days? In this Quick Win episode, I’m joined by Avani Prabhakar, Chief People Officer at Atlassian. With over 13,000 employees scattered around the globe, Atlassian has learned that connection doesn’t come from casual coffee chats or watercooler moments. Instead, they’ve built a framework called Intentional Togetherness – bringing teams together once a quarter with a clear purpose. It’s a practice that creates bonds lasting far beyond a handful of office days. Avani and I discuss: Why “remote” and “distributed” work are not the same thing The myth that office attendance automatically creates connection How Atlassian’s “Intentional Togetherness” framework works The quarterly gatherings that build bonds that last for months Why purposeful collaboration beats sporadic in-office days Key Quotes “Connection wasn’t built by sporadic office attendance – it was built when you bring people intentionally together with a purpose.” Connect with Avani on LinkedIn. Listen to the full interview with Avani here. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: The Podcast Butler See omnystudio.com/listener for privacy information.

BONUS: Swimming in Tech Debt — Practical Techniques to Keep Your Team from Drowning in Its Codebase In this fascinating conversation, veteran software engineer and author Lou Franco shares hard-won lessons from decades at startups, Trello, and Atlassian. We explore his book "Swimming in Tech Debt," diving deep into the 8 Questions framework for evaluating tech debt decisions, personal practices that compound over time, team-level strategies for systematic improvement, and leadership approaches that balance velocity with sustainability. Lou reveals why tech debt is often the result of success, how to navigate the spectrum between ignoring debt and rewriting too much, and practical techniques individuals, teams, and leaders can use starting today. The Exit Interview That Changed Everything "We didn't go slower by paying tech debt. We went actually faster, because we were constantly in that code, and now we didn't have to run into problems." — Lou Franco   Lou's understanding of tech debt crystallized during an exit interview at Atalasoft, a small startup where he'd spent years. An engineer leaving the company confronted him: "You guys don't care about tech debt." Lou had been focused on shipping features, believing that paying tech debt would slow them down. But this engineer told a different story — when they finally fixed their terrible build and installation system, they actually sped up. They were constantly touching that code, and removing the friction made everything easier. This moment revealed a fundamental truth: tech debt isn't just about code quality or engineering pride. It's about velocity, momentum, and the ability to move fast sustainably. Lou carried this lesson through his career at Trello (where he learned the dangers of rewriting too much) and Atlassian (where he saw enterprise-scale tech debt management). These experiences became the foundation for "Swimming in Tech Debt." Tech Debt Is the Result of Success "Tech debt is often the result of success. Unsuccessful projects don't have tech debt." — Lou Franco   This reframes the entire conversation about tech debt. Failed products don't accumulate debt — they disappear before it matters. Tech debt emerges when your code survives long enough to outlive its original assumptions, when your user base grows beyond initial expectations, when your team scales faster than your architecture anticipated. At Atalasoft, they built for 10 users and got 100. At Trello, mobile usage exploded beyond their web-first assumptions. Success creates tech debt by changing the context in which code operates. This means tech debt conversations should happen at different intensities depending on where you are in the product lifecycle. Early startups pursuing product-market fit should minimize tech debt investments — move fast, learn, potentially throw away the code. Growth-stage companies need balanced approaches. Mature products benefit significantly from tech debt investments because operational efficiency compounds over years. Understanding this lifecycle perspective helps teams make appropriate decisions rather than applying one-size-fits-all rules. The 8 Questions Framework for Tech Debt Decisions "Those 8 questions guide you to what you should do. If it's risky, has regressions, and you don't even know if it's gonna work, this is when you're gonna do a project spike." — Lou Franco   Lou introduces a systematic framework for evaluating whether to pay tech debt, inspired by Bob Moesta's push-pull forces from product management. The 8 questions create a complete picture:   Visibility — Will people outside the team understand what we're doing? Alignment — Does this match our engineering values and target architecture? Resistance — How hard is this code to work with right now? Volatility — How often do we touch this code? Regression Risk — What's the chance we'll introduce new problems? Project Size — How big is this to fix? Estimate Risk — How uncertain are we about the effort required? Outcome Uncertainty — How confident are we the fix will actually improve things?   High volatility and high resistance with low regression risk? Pay the debt now. High regression risk with no tests? Write tests first, then reassess. Uncertain outcomes on a big project? Do a spike or proof of concept. The framework prevents both extremes — ignoring costly debt and undertaking risky rewrites without proper preparation. Personal Practices That Compound Daily "When I sit down at my desk, the first thing I do is I pay a little tech debt. I'm looking at code, I'm about to change it, do I even understand it? Am I having some kind of resistance to it? Put in a little helpful comment, maybe a little refactoring." — Lou Franco   Lou shares personal habits that create compounding improvements over time. Start each coding session by paying a small amount of tech debt in the area you're about to work — add a clarifying comment, extract a confusing variable, improve a function name. This warms you up, reduces friction for your actual work, and leaves the code slightly better than you found it. The clean-as-you-go philosophy means tech debt never accumulates faster than you can manage it. But Lou's most powerful practice comes at the end of each session: mutation testing by hand. Before finishing for the day, deliberately break something — change a plus to minus, a less-than to less-than-or-equal. See if tests catch it. Often they don't, revealing gaps in test coverage. The key insight: don't fix it immediately. Leave that failing test as the bridge to tomorrow's coding session. It connects today's momentum to tomorrow's work, ensuring you always start with context and purpose rather than cold-starting each day. Mutation Testing: Breaking Things on Purpose "Before I'm done working on a coding session, I break something on purpose. I'll change a plus to a minus, a less than to a less than equals, and see if tests break. A lot of times tests don't break. Now you've found a problem in your test." — Lou Franco   Manual mutation testing — deliberately breaking code to verify tests catch the break — reveals a critical gap in most test suites. You can have 100% code coverage and still have untested behavior. A line of code that's executed during tests isn't necessarily tested — the test might not actually verify what that line does. By changing operators, flipping booleans, or altering constants, you discover whether your tests protect against actual logic errors or just exercise code paths. Lou recommends doing this manually as part of your daily practice, but automated tools exist for systematic discovery: Stryker (for JavaScript, C#, Scala) and MutMut (for Python) can mutate your entire codebase and report which mutations survive uncaught. This isn't just about test quality — it's about understanding what your code actually does and building confidence that changes won't introduce subtle bugs. Team-Level Practices: Budgets, Backlogs, and Target Architecture "Create a target architecture document — where would we be if we started over today? Every PR is an opportunity to move slightly toward that target." — Lou Franco   At the team level, Lou advocates for three interconnected practices. First, create a target architecture document that describes where you'd be if starting fresh today — not a detailed design, but architectural patterns, technology choices, and structural principles that represent current best practices. This isn't a rewrite plan; it's a North Star. Every pull request becomes an opportunity to move incrementally toward that target when touching relevant code. Second, establish a budget split between PM-led feature work and engineering-led tech debt work — perhaps 80/20 or whatever ratio fits your product lifecycle stage. This creates predictable capacity for tech debt without requiring constant negotiation. Third, hold quarterly tech debt backlog meetings separate from sprint planning. Treat this backlog like PMs treat product discovery — explore options, estimate impacts, prioritize based on the 8 Questions framework. Some items fit in sprints; others require dedicated engineers for a quarter or two. This systematic approach prevents tech debt from being perpetually deprioritized while avoiding the opposite extreme of engineers disappearing into six-month "improvement" projects with no visible progress. The Atlassian Five-Alarm Fire "The Atlassian CTO's 'five-alarm fire' — stopping all feature development to focus on reliability. I reduced sync errors by 75% during that initiative." — Lou Franco   Lou shares a powerful example of leadership-driven tech debt management at scale. The Atlassian CTO called a "five-alarm fire" — halting all feature development across the company to focus exclusively on reliability and tech debt. This wasn't panic; it was strategic recognition that accumulated debt threatened the business. Lou worked on reducing sync errors, achieving a 75% reduction during this focused period. The initiative demonstrated several leadership principles: willingness to make hard calls that stop revenue-generating feature work, clear communication of why reliability matters strategically, trust that teams will use the time wisely, and commitment to see it through despite pressure to resume features. This level of intervention is rare and shouldn't be frequent, but it shows what's possible when leadership truly prioritizes tech debt. More commonly, leaders should express product lifecycle constraints (startup urgency vs. mature product stability), give teams autonomy to find appropriate projects within those constraints, and require accountability through visible metrics and dashboards that show progress. The Rewrite Trap: Why Big Rewrites Usually Fail "A system that took 10 years to write has implicit knowledge that can't be replicated in 6 months. I'm mostly gonna advocate for piecemeal migrations along the way, reducing the size of the problem over time." — Lou Franco   Lou lived through Trello's iOS navigation rewrite — a classic example of throwing away working code to start fresh, only to discover all the edge cases, implicit behaviors, and user expectations baked into the "old" system. A codebase that evolved over several years contains implicit knowledge — user workflows, edge case handling, performance optimizations, and subtle behaviors that users rely on even if they never explicitly requested them. Attempting to rewrite this in six months inevitably misses critical details. Lou strongly advocates for piecemeal migrations instead. The Trello "Decaffeinate Project" exemplifies this approach — migrating from CoffeeScript to TypeScript incrementally, with public dashboards showing the percentage remaining, interoperable technologies allowing gradual transition, and the ability to pause or reverse if needed. Keep both systems running in parallel during migrations. Use runtime observability to verify new code behaves identically to old code. Reduce the problem size steadily over months rather than attempting big-bang replacements. The only exception: sometimes keeping parallel systems requires scaffolding that creates its own complexity, so evaluate whether piecemeal migration is actually simpler or if you're better off living with the current system. Making Tech Debt Visible Through Dashboards "Put up a dashboard, showing it happen. Make invisible internal improvements visible through metrics engineering leadership understands." — Lou Franco   One of tech debt's biggest challenges is invisibility — non-technical stakeholders can't see the improvement from refactoring or test coverage. Lou learned to make tech debt work visible through dashboards and metrics. The Decaffeinate Project tracked percentage of CoffeeScript files remaining, providing a clear progress indicator anyone could understand. When reducing sync errors, Lou created dashboards showing error rates declining over time. These visualizations serve multiple purposes: they demonstrate value to leadership, create accountability for engineering teams, build momentum as progress becomes visible, and help teams celebrate wins that would otherwise go unnoticed. The key is choosing metrics that matter to the business — error rates, page load times, deployment frequency, mean time to recovery — rather than pure code quality metrics like cyclomatic complexity that don't translate outside engineering. Connect tech debt work to customer experience, reliability, or developer productivity in ways leadership can see and value. Onboarding as a Tech Debt Opportunity "Unit testing is a really great way to learn a system. It's like an executable specification that's helping you prove that you understand the system." — Lou Franco   Lou identifies onboarding as an underutilized opportunity for tech debt reduction. When new engineers join, they need to learn the codebase. Rather than just reading code or shadowing, Lou suggests having them write unit tests in areas they're learning. This serves dual purposes: tests are executable specifications that prove understanding of system behavior, and they create safety nets in areas that likely lack coverage (otherwise, why would new engineers be confused by the code?). The new engineer gets hands-on learning, the team gets better test coverage, and everyone wins. This practice also surfaces confusing code — if new engineers struggle to understand what to test, that's a signal the code needs clarifying comments, better naming, or refactoring. Make onboarding a systematic tech debt reduction opportunity rather than passive knowledge transfer. Leadership's Role: Constraints, Autonomy, and Accountability "Leadership needs to express the constraints. Tell the team what you're feeling about tech debt at a high level, and what you think generally is the appropriate amount of time to be spent on it. Then give them autonomy." — Lou Franco   Lou distills leadership's role in tech debt management to three elements. First, express constraints — communicate where you believe the product is in its lifecycle (early startup, rapid growth, mature cash cow) and what that means for tech debt tolerance. Are we pursuing product-market fit where code might be thrown away? Are we scaling a proven product where reliability matters? Are we maintaining a stable system where operational efficiency pays dividends? These constraints help teams make appropriate trade-offs. Second, give autonomy — once constraints are clear, trust teams to identify specific tech debt projects that fit those constraints. Engineers understand the codebase's pain points better than leaders do. Third, require accountability — teams must make their work visible through dashboards, metrics, and regular updates. Autonomy without accountability becomes invisible engineering projects that might not deliver value. Accountability without autonomy becomes micromanagement that wastes engineering judgment. The balance creates space for teams to make smart decisions while keeping leadership informed and confident in the investment. AI and the Future of Tech Debt "I really do AI-assisted software engineering. And by that, I mean I 100% review every single line of that code. I write the tests, and all the code is as I would have written it, it's just a lot faster. Developers are still responsible for it. Read the code." — Lou Franco   Lou has a chapter about AI in his book, addressing the elephant in the room: will AI-generated code create massive tech debt? His answer is nuanced. AI can accelerate development tremendously if used correctly — Lou uses it extensively but reviews every single line, writes all tests himself, and ensures the code matches what he would have written manually. The problem emerges with "vibe coders" — non-developers using AI to generate code they don't understand, creating unmaintainable messes that become someone else's problem. Developers remain responsible for all code, regardless of how it's generated. This means you must read and understand AI-generated code, not blindly accept it. Lou also raises supply chain security concerns — dependencies can contain malicious code, and AI might introduce vulnerabilities developers miss. His recommendation: stay six months behind on dependency updates, let others discover the problems first, and consider separate sandboxed development machines to limit security exposure. AI is a powerful tool, but it doesn't eliminate the need for engineering judgment, testing discipline, or code review practices. The Style Guide Beyond Formatting "Have a style guide that goes beyond formatting to include target architecture. This is the kind of code we want to write going forward." — Lou Franco   Lou advocates for style guides that extend beyond tabs-versus-spaces formatting rules to include architectural guidance. Document patterns you want to move toward: how should components be structured, what state management approaches do we prefer, how should we handle errors, what testing patterns should we follow? This creates a shared understanding of the target architecture without requiring a massive design document. When reviewing pull requests, teams can reference the style guide to explain why certain approaches align with where the codebase is headed versus perpetuating old patterns. This makes tech debt conversations less personal and more objective — it's not about criticizing someone's code, it's about aligning with team standards and strategic direction. The style guide becomes a living document that evolves as the team learns and technology changes, capturing collective wisdom about what good code looks like in your specific context. Recommended Resources Some of the resources mentioned in this episode include:  Steve Blank's Four Steps To Epiphany The podcast episode with Bernie Maloney where we discuss the critical difference between "enterprise" and "startup". And Geoffrey Moore's Crossing the Chasm, and Dealing with Darwin.   About Lou Franco   Lou Franco is a veteran software engineer and author of Swimming in Tech Debt. With decades of experience at startups, as well as Trello, and Atlassian, he's seen both sides of debt—as coder and leader. Today, he advises teams on engineering practices, helping them turn messy codebases into momentum.   You can link with Lou Franco on LinkedIn and learn more at LouFranco.com.

The right rituals—and the right conversations—can transform how your team collaborates.Strong collaboration starts with thoughtful practices and clear communication. As Molly Sands, Head of the Teamwork Lab at Atlassian, emphasizes, the teams that thrive are the ones that regularly pause to align on what matters and how they're progressing. “You want to know if you're making progress,” she notes, “and you want ways to redirect early—before you're scrambling at the end.”Through her research with teams across Atlassian and around the world, Sands has seen how small, consistent habits—monthly goal reviews, transparent updates, shared spaces for spontaneous interaction—build alignment, psychological safety, and momentum. And in hybrid and distributed environments, she highlights how “bursty” collaboration patterns and intentional meeting design help teams move faster without burning out.In this Quick Thinks episode of Think Fast, Talk Smart, Sands and host Matt Abrahams break down the rituals that make teamwork work, from OKR check-ins to collaboration hours to the rotating Chief Vibes Officer. No matter where your team sits, Sands shows how intentional communication unlocks connection, speed, and more satisfying ways of working together.Episode Reference Links:Molly SandsEp.241 Team Spirit: How to Make Group Work WorkConnect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (02:43) - Measuring Collaboration the Right Way (05:35) - Training Leaders & Goal Rituals (07:49) - Creating Space for Spontaneous Work (11:20) - Making In-Person Time Count (11:44) - Three High-Impact Team Gatherings (14:00) - Supporting Diverse Communication Styles (16:08) - Conclusion  ********Thank you to our sponsors.  These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost. Go to Quince.com/ThinkFast for free shipping on your order and 365-day returns. Join our Think Fast Talk Smart Learning Community and become the communicator you want to be.

What if losing your life savings on your first investment at age 27 became the catalyst for understanding why 90% of startups get stuck for the same psychological reasons? That's exactly what happened to Dave Hersh, founding CEO of Jive, board partner at Andreessen Horowitz, and author of Reignition. Dave grew Jive from an open-source project to a NASDAQ IPO, bootstrapping to $12 million over five years before raising venture capital. But when he watched Atlassian, a comparison company that started at the same time, stay on their original trajectory and become worth over $20 billion while Jive eventually died on the public markets, he realized fear and insecurity had driven his capital decision rather than genuine strategy. That painful lesson shaped everything Dave now teaches as an executive coach and General Partner at Metamorph Partners. After working with hundreds of stuck companies, he discovered that 90% of failures trace back to the same psychological patterns. Not cash. Not product market fit. Not competition. Subconscious patterns driving decisions without founders knowing. The statistics are sobering. Between 80 to 95% of founders suffer mental health issues while running their companies. Even successful founders have an 85% chance of experiencing depression or struggles for up to 10 years post-exit. Only 15% are truly thriving after they sell. Dave introduces his inner board meeting framework, which helps founders identify the internal parts driving major decisions. The child wanting safety. The hero wanting to save everyone. The warrior that cannot let go. When you understand these patterns, you can work toward compromises that break through stalemates. The conversation covers when and why to raise capital versus bootstrap, the transition process between identities that most founders skip, and the human-first competitive moats that will define success in the AI era. For founders navigating capital decisions, stuck companies, or the complex terrain after exit, this episode offers a different lens on what actually determines outcomes. FOR MORE ON THIS EPISODE: https://www.coreykupfer.com/blog/davehersh FOR MORE ON DAVE HERSH:https://www.linkedin.com/in/davehersh/https://one-in-ten-thousand.beehiiv.com/ FOR MORE ON COREY KUPFERhttps://www.linkedin.com/in/coreykupfer/https://www.coreykupfer.com/ Corey Kupfer is an expert strategist, negotiator, and dealmaker. He has more than 35 years of professional deal-making and negotiating experience. Corey is a successful entrepreneur, attorney, consultant, author, and professional speaker. He is deeply passionate about deal-driven growth. He is also the creator and host of the DealQuest Podcast. Get deal-ready with the DealQuest Podcast with Corey Kupfer, where like-minded entrepreneurs and business leaders converge, share insights and challenges, and success stories. Equip yourself with the tools, resources, and support necessary to navigate the complex yet rewarding world of dealmaking. Dive into the world of deal-driven growth today! Episode Highlights with Timestamps [00:00] - Introduction: Dave Hersh's journey from dot-com era to executive coaching [02:30] - Growing up in Newport, Rhode Island with no entrepreneurial modeling [05:15] - First entrepreneurial experience: selling ninja weapons to neighborhood kids [07:45] - Arriving in New York on September 10th, 2001 and founding Jive [12:00] - Bootstrapping to $12 million over five years without outside capital [16:30] - The Facebook moment and decision to raise venture capital in 2006 [21:00] - Why founders equate raising money with success and the 10% reality [25:45] - The Atlassian comparison and what could have been a $20 billion outcome [30:15] - Mental health statistics: 80-95% of founders suffer while running companies [34:00] - Post-exit malaise: 85% of successful founders struggle for up to 10 years [43:00] - Identifying internal parts: the child, hero, warrior, and insecure parts [51:30] - Human-first moats in the AI era Guest Bio Dave Hersh is an executive coach, speaker, and investor based in San Francisco with over 30 years of experience in strategy, startups, and conscious leadership. He was the founding CEO of Jive, which he grew from an open-source project to a NASDAQ IPO. He also spent two years as a Board Partner (investor) at the venture capital firm Andreessen Horowitz. He is the author of Reignition, a playbook for helping startups get unstuck and find their breakthrough, and is working on a new book about enlightened leadership in the era of AI. Dave currently serves as General Partner at Metamorph Partners. Host Bio Corey Kupfer is an expert strategist, negotiator, and dealmaker with more than 35 years of professional deal-making and negotiating experience. Corey is a successful entrepreneur, attorney, consultant, author, and professional speaker deeply passionate about deal-driven growth. He is the creator and host of the DealQuest Podcast. Show Description Do you want your business to grow faster? The DealQuest Podcast with Corey Kupfer reveals how successful entrepreneurs and business leaders use strategic deals to accelerate growth. From large mergers and acquisitions to capital raising, joint ventures, strategic alliances, real estate deals, and more, this show discusses the full spectrum of deal-driven growth strategies. Get the confidence to pursue deals that will help your company scale faster. Related Episodes Episode 366 - Jodi Hume: Founder Exits and the Emotional Journey Behind Major Business Decisions: Explore the psychological dimensions of exits and what founders need to prepare for beyond the transaction. Episode 350 - Tom Dillon: When NOT to Take Venture Capital Money: Discover alternative funding sources and how to evaluate whether VC is right for your business model. Episode 302 - Laurie Barkman: Preparing for a Successful Exit with Business Transition Insights: Learn the practical steps for getting your business exit-ready. Episode 328 - Richard Manders: Post-Exit Transitions and Finding Purpose After Selling Your Company: Understand how successful founders navigate identity after major exits. Social Media Follow DealQuest Podcast:LinkedIn: https://www.linkedin.com/in/coreykupfer/Website: https://www.coreykupfer.com/ Follow Dave HershLinkedIn: https://www.linkedin.com/in/davehersh/ Newsletter: https://one-in-ten-thousand.beehiiv.com/ Keywords/Tags founder mental health, post-exit depression, startup psychology, venture capital decision, inner work for CEOs, executive coaching entrepreneurs, identity after exit, bootstrap versus venture capital, founder burnout, stuck companies, inner board meeting, conscious leadership, Jive Software, Andreessen Horowitz, Reignition book, founder transitions, ego in business, capital raising psychology, entrepreneurial mental health, exit preparation, business identity, human-first leadership, AI era leadership

The secret to effective teamwork and collaboration.To collaborate, we have to communicate. As Molly Sands knows, “The more that we can get on the same page, the more effective we are.”Sands is a behavioral scientist and the head of the Teamwork Lab at Atlassian, where she researches how teams can collaborate more effectively and efficiently, especially in distributed and hybrid work environments. As she's seen in her research and within her own team, “People can accomplish a lot more together when they work well together.” The key to unlocking that potential lies in communication that aligns people not just in their activity, but in their deeper goals and vision. “The best work happens when you start by asking why,” she says, “getting people to really understand: why is this a problem, why do we wanna solve it, and how are we uniquely positioned to do that? The more that we can map this out together, the more effective our teams tend to be.”In this episode of Think Fast, Talk Smart, Sands and host Matt Abrahams discuss strategies for effective collaboration, from “page-led” meetings and asynchronous video messages to using AI as a collaborator. Whether your team is working face-to-face or across time zones, Sands' insights show how better communication is the key to better collaboration.Episode Reference Links:Molly SandsEp.241 Team Spirit: How to Make Group Work WorkConnect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (02:32) - How the Teamwork Lab Works (04:03) - Top Challenges for Teams (04:37) - Clarifying Goals & Alignment (07:19) - AI as a Collaborative Partner (09:25) - Atlassian's AI Onboarding Buddy (12:49) - Rethinking Meetings (15:58) - Three Types of Work Time (17:17) - Replacing Meetings with Asynchronous Video (20:02) - The Final Three Questions (24:11) - Conclusion  ********This episode is sponsored by Grammarly. Let Grammarly take the busywork off your plate so you can focus on high-impact work. Download Grammarly for free today Join our Think Fast Talk Smart Learning Community and become the communicator you want to be.

Jeanne DeWitt Grosser built world-class GTM teams at Stripe, Google, and, most recently, Vercel, where she serves as COO and oversees marketing, sales, customer success, revenue operations, and field engineering. She transformed Stripe's early sales organization from the ground up and advises founders on GTM strategy.We discuss:1. Why GTM is becoming more strategically important in the AI era2. The rise of the GTM engineer3. A primer on segmentation4. How to build a sales org that engineers and product teams respect5. The changing calculus of build vs. buy for go-to-market tools in the AI era6. Why most customers buy to avoid pain rather than to gain upside—Brought to you by:Datadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyLovable—Build apps by simply chatting with AI: https://lovable.dev/Stripe—Helping companies of all sizes grow revenue: https://stripe.com/—Transcript: https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/179503137/my-biggest-takeaways-from-this-conversation—Where to find Jeanne DeWitt Grosser:• X: https://x.com/jdewitt29• LinkedIn: https://www.linkedin.com/in/jeannedewitt—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 Jeanne DeWitt Grosser(05:26) Defining go-to-market(08:43) The evolution of go-to-market roles(11:23) The rise of the go-to-market engineer(14:21) Implementing AI in sales processes(15:28) Optimizing sales with AI agents(23:47) Defining sales roles: SDRs and AEs(26:04) When to hire a GTM engineer(29:04) Hiring and scaling sales teams(30:50) The ideal go-to-market engineer(34:24) The go-to-market tool stack(40:39) Advice on building a great sales bot(44:34) Vercel's unfair advantage(46:37) Go-to-market as a product(47:04) Innovative sales tactics at Stripe(52:38) Effective go-to-market tactics(01:00:37) Segmentation strategies(01:09:31) Building a sales org that engineers love(01:14:00) Thoughts on PLG and pricing(01:16:44) Sales compensation and hiring(01:19:24) Lightning round and final thoughts—Referenced:• Vercel: https://vercel.com• Stripe: https://stripe.com• Rosalind Franklin: https://en.wikipedia.org/wiki/Rosalind_Franklin• Ben Salzman on LinkedIn: https://www.linkedin.com/in/bensalzman• SDK: https://ai-sdk.dev/docs/introduction• Gong: https://www.gong.io• Lyft: https://www.lyft.com• Instacart: https://www.instacart.com• DoorDash: https://www.instacart.com• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• A step-by-step guide to crafting a sales pitch that wins | April Dunford (author of Obviously Awesome and Sales Pitch): https://www.lennysnewsletter.com/p/a-step-by-step-guide-to-crafting• Kate Jensen on LinkedIn: https://www.linkedin.com/in/kateearle• Lessons from scaling Stripe | Claire Hughes Johnson (former COO of Stripe): https://www.lennysnewsletter.com/p/lessons-from-scaling-stripe-tactics• Atlassian: atlassian.com—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

Spotify, Oracle, and Comcast have each recently announced they're going with co-C.E.O.s. In this 2023 episode, we dig into the research and hear firsthand stories of triumph and disaster. Also: lessons from computer programmers, Simon and Garfunkel, and bears versus alligators.   SOURCES:Jim Balsillie, retired chairman and co-C.E.O. of Research In Motion.Mike Cannon-Brookes, co-founder and C.E.O. of Atlassian.Scott Farquhar, co-founder and former co-C.E.O. of Atlassian.Marc Feigen, C.E.O. advisor.Jeffrey Sonnenfeld, professor of management studies and senior associate dean at the Yale School of Management and founding president of the Chief Executive Leadership Institute.Laurie Williams, professor of computer science at North Carolina State University. RESOURCES:"Scott Farquhar to resign as joint CEO of Atlassian," by Jonathan Barrett (The Guardian, 2024)."Is It Time to Consider Co-C.E.O.s?" by Marc A. Feigen, Michael Jenkins, and Anton Warendh (Harvard Business Review, 2022)."The Costs and Benefits of Pair Programming," by Alistair Cockburn and Laurie Williams (2000)."Strengthening the Case for Pair Programming," by Laurie Williams, Robert R. Kessler, Ward Cunningham, and Ron Jeffries (IEEE Software, 2000). EXTRAS:"The Secret Life of a C.E.O.," series by Freakonomics Radio (2018). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.