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In this episode of Building Better Developers, hosts Rob Broadhead and Michael Meloche explore how to improve team collaboration in software development through the lens of AI-driven insights. Whether you're a solo developer, part of a tight-knit team, or scaling across departments, collaboration remains the backbone of efficiency and success. What Does Collaboration Mean in Development? AI kicked off the discussion with a powerful insight: define “efficiency” in context. But more importantly, it highlighted that collaboration fuels efficiency, not just working faster, but working better. Effective collaboration avoids: Redundant work Misunderstood requirements Tech debt and burnout Rob emphasized that a productive team isn't rushing through tasks but solving the correct problems—together—on the first try. Collaboration Strategies for Solo Developers Even solo developers need structured collaboration between their tools, their future selves, and their automation stack. Top collaboration tips for independent devs: Use opinionated frameworks like Next.js or Rails to minimize decision fatigue. Automate repetitive tasks early to save time in the long run. Commit code regularly with meaningful messages. Document workflows using Notion, Obsidian, or Jira—even if you're the only one using them. Containerize development environments for repeatability and rapid setup. “Solo doesn't mean siloed. Collaborate with your tools, your past decisions, and future goals.” Enhancing Collaboration in Small Development Teams For teams of 2–10 developers, Rob and Michael discussed how tight feedback loops and structured communication are essential to avoid chaos. Recommended practices for small team collaboration: Short, focused daily standups Shared development environments Lightweight Agile or Kanban boards Early investment in CI/CD pipelines Use of pair programming or mob programming for knowledge sharing Michael emphasized Agile's power in synchronizing team efforts, avoiding duplicated work, and solving problems more efficiently as a unit. “Agile helps teams collaborate—not just communicate. It keeps everyone moving in the same direction.” Solving Common Bottlenecks Together AI highlighted four universal collaboration pain points and solutions: Slow Code Reviews - Use SLAs and rotate reviewers Unclear Requirements - Kick off with 15-minute clarification huddles Testing Paralysis - Focus on integration tests and avoid overtesting Context Switching - Block dedicated focus hours Michael zeroed in on testing paralysis, especially in early-stage projects, where developers are too busy scaffolding to write tests. Without collaboration on testing plans, critical issues may be overlooked until it is too late. Rob addressed context switching, warning against excessive meetings that fragment developer flow. Leads should shield devs from distraction by delivering distilled, actionable feedback. Final Thoughts on Collaborative Development As teams grow, minor issues scale fast, and so do inefficiencies. Tools, meetings, workflows, and expectations must all scale intentionally. Rob reminded leaders to summarize and distill information before passing it to their teams and to make clever use of tools like AI, recordings, and summaries to keep everyone aligned without wasting time. “If you're building better developers, you're also building better collaborators.” Take Action: Build Collaboration Into Your Workflow Reassess your standups and review cycles Empower solo devs with documentation and CI/CD Streamline onboarding with containers Test early, test together Protect team focus time Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Embrace Feedback for Better Teams Using Offshore Teams and Resources – Interview With Tanika De Souza Moving To Mobile Teams and Building Them – Sebastian Schieke Building Better Developers With AI Podcast Videos – With Bonus Content

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In a tech-driven world, human connection is more critical than ever. In this episode of DevOps Diaries, Jack McCurdy sits down with Jon Cline to explore the power of a people-first approach in the Salesforce ecosystem and beyond. Discover strategies for navigating high-pressure situations, resolving conflict with emotional intelligence, and turning chaos into compliments. Learn how to foster a culture that attracts and retains top talent by focusing on what truly matters: your people.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKWChapters00:00 Introduction to the Salesforce Ecosystem03:02 The People-First Method: Transforming Teams06:05 Conflict Resolution and Project Success09:08 Embracing Discomfort in Professional Growth11:48 The Importance of Face-to-Face Interactions14:50 Navigating High-Pressure Situations17:50 The Future of Human Engagements20:53 Recognizing Dynamics in Team Interactions26:19 Navigating Political Challenges in Team Dynamics29:16 The Power of Small Talk in Team Collaboration30:43 Establishing a Culture of Values and Recognition33:41 Attracting and Retaining Talent in a Competitive Market35:31 Demonstrating Authentic Company Culture36:32 Transforming Chaos into Compliments40:50 People-First Approach to Leadership and Change

Every enterprise is legit rushing to build AI agents.But there's no instructions. So, what do you do? How do you make sure it works? How do you track reliability and traceability? We dive in and find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google Gemini's Veo 3 Video Creation ToolTrust & Reliability in AI AgentsBuilding Reliable AI Agents GuideAgentic AI for Mission-Critical TasksMicro Agentic System Architecture DiscussionNondeterministic Software Challenges for EnterprisesGalileo's Agent Leaderboard OverviewMulti-Agent Systems: Future ProtocolsTimestamps:00:00 "Building Reliable Agentic AI"05:23 The Future of Autonomous AI Agents08:43 Chatbots vs. Agents: Key Differences10:48 "Galileo Drives Enterprise AI Adoption"13:24 Utilizing AI in Regulated Industries18:10 Test-Driven Development for Reliable Agents22:07 Evolving AI Models and Tools24:05 "Multi-Agent Systems Revolution"27:40 Ensuring Reliability in Single AgentsKeywords:Google Gemini, Agentic AI, reliable AI agents, mission-critical tasks, large language models, AI reliability platform, AI implementation, microservices, micro agents, ChuckGPT, AI observability, enterprise applications, nondeterministic software, multi-agentic systems, AI trust, AI authentication, AI communication, AI production, test-driven development, agent EVALS, Hugging Face space, tool calls, expert protocol, MCP protocol, Google A2A protocol, multi-agent systems, agent reliability, real-time prevention, CICD aspect, mission-critical agents, nondeterministic world, reliable software, Galileo, agent leaderboard, AI planning, AI execution, observability feedback, API calls, tool selection quality.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.

Mike & Tommy run through the latest developments with Git, CI/CD, and Data Ops at Microsoft Build 2025.Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

Packaging MLOps Tech Neatly for Engineers and Non-engineers // MLOps Podcast #322 with Jukka Remes, Senior Lecturer (SW dev & AI), AI Architect at Haaga-Helia UAS, Founder & CTO at 8wave AI. Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractAI is already complex—adding the need for deep engineering expertise to use MLOps tools only makes it harder, especially for SMEs and research teams with limited resources. Yet, good MLOps is essential for managing experiments, sharing GPU compute, tracking models, and meeting AI regulations. While cloud providers offer MLOps tools, many organizations need flexible, open-source setups that work anywhere—from laptops to supercomputers. Shared setups can boost collaboration, productivity, and compute efficiency.In this session, Jukka introduces an open-source MLOps platform from Silo AI, now packaged for easy deployment across environments. With Git-based workflows and CI/CD automation, users can focus on building models while the platform handles the MLOps.// BioFounder & CTO, 8wave AI | Senior Lecturer, Haaga-Helia University of Applied SciencesJukka Remes has 28+ years of experience in software, machine learning, and infrastructure. Starting with SW dev in the late 1990s and analytics pipelines of fMRI research in early 2000s, he's worked across deep learning (Nokia Technologies), GPU and cloud infrastructure (IBM), and AI consulting (Silo AI), where he also led MLOps platform development. Now a senior lecturer at Haaga-Helia, Jukka continues evolving that open-source MLOps platform with partners like the University of Helsinki. He leads R&D on GenAI and AI-enabled software, and is the founder of 8wave AI, which develops AI Business Operations software for next-gen AI enablement, including regulatory compliance of AI.// Related LinksOpen source -based MLOps k8s platform setup originally developed by Jukka's team at Silo AI - free for any use and installable in any environment from laptops to supercomputing: https://github.com/OSS-MLOPS-PLATFORM/oss-mlops-platformJukka's new company:https://8wave.ai~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Jukka on LinkedIn: /jukka-remesTimestamps:[00:00] Jukka's preferred coffee[00:39] Open-Source Platform Benefits[01:56] Silo MLOps Platform Explanation[05:18] AI Model Production Processes[10:42] AI Platform Use Cases[16:54] Reproducibility in Research Models[26:51] Pipeline setup automation[33:26] MLOps Adoption Journey[38:31] EU AI Act and Open Source[41:38] MLOps and 8wave AI[45:46] Optimizing Cross-Stakeholder Collaboration[52:15] Open Source ML Platform[55:06] Wrap up

Julián Duque from Heroku joins me to explain and demo their new AI platform.Check out the video podcast version here https://youtu.be/BGqlLZHdRDsCreators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Julián Duque - Guest You can also support my content by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com (00:00) - Introduction (05:12) - Deep Dive into Heroku's AI Capabilities (14:23) - Heroku MCP server (28:27) - Describing MCP Tool Interactions (30:48) - DevOps Automation with Heroku MCP server (37:02) - Heroku AI and Future Prospects

Czy współczesny samochód to jeszcze maszyna, czy już komputer na kołach?W tym odcinku biorę pod lupę software-defined vehicles – czyli pojazdy, w których to oprogramowanie, a nie mechanika, gra pierwsze skrzypce.Rozmawiam m.in. o:– Tesli, która aktualizuje się przez noc,– Huawei i Xiaomi, które tworzą własne auta,– Android Automotive i nowym CarPlayu od Apple,– subskrypcjach na grzane siedzenia,– rosnącej roli IT, DevOpsów i AI w świecie motoryzacji,– oraz o tym, jak wygląda produkcja samochodów przyszłości – z API, CI/CD i cyfrowym bliźniakiem.

In this episode, Dan and I (Steve) dove deep into what turned out to be a surprisingly complex, yet incredibly insightful topic: gradually migrating a massive legacy JavaScript project over to TypeScript. We're talking about nearly 1,000 JS files, 70,000+ lines of code, and years of developer history—all transitioning carefully to a typed, modern future.Dan walked us through how he started by setting up the project for success before converting even one file—getting CI/CD ready, setting up tsconfig.json, sorting out test dependencies, dealing with mock leaks, and even grappling with quirks between VS Code and WebStorm debugging.We talked tools (like TS-ESLint, concurrently, and ts-node), why strict typing actually uncovered real bugs (and made the code better!), and why it's crucial not to touch any .js files until your TypeScript setup is rock solid.Key Takeaways:Gradual migration is 100% possible—and often better—than ripping the bandaid off.TypeScript can and will catch bugs hiding in your JavaScript. Be prepared!Use VS Code extensions or TS-Node to support your devs' tooling preferences.Don't underestimate the setup phase—it's the foundation of long-term success.Start small: Dan's team converted just one file at first to test the whole pipeline.If you're sitting on a legacy JS project and dreaming of TypeScript, this episode is your blueprint—and your warning sign.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

Launching our new Podcast: https://agenticdevops.fmBret and Nirmal are at KubeCon London and record their ideas about how AI Agents will change DevOps, platform engineering, SRE, automation, troubleshooting, and more.Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Nirmal Mehta - Host You can also support my content by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com

Join us for an in-depth conversation with Ari Mahpour, Embedded Systems Engineer at Rivian, as he reveals how AI is revolutionizing embedded development and testing workflows on this episode of the OnTrack Podcast.    From voice-controlled Arduino programming to automated hardware-in-the-loop testing, discover cutting-edge techniques that are transforming the industry. Learn about embedded DevOps, Cloud-driven testing infrastructure, and how AI agents can write, compile, and test code autonomously.   Explore the intersection of hardware and software development, from NASA's space missions to modern automotive systems. Ari shares practical insights on bridging the gap between electronics design and software development, implementing CI/CD pipelines for embedded systems, and leveraging AI for everything from data sheet analysis to automated test generation.    Resources from this episode:  - Check out the Octopart YouTube Channel: https://www.youtube.com/@Octopart - Browse all of Ari's Tutorials on Octopart: https://youtube.com/playlist?list=PLtZurp7-0DcVXIR-fvnjVU0UyxgVSgSYu&si=kXqnNeSoAkGEh6oz - Connect with Ari here: https://www.linkedin.com/in/arimahpour/  

Solomon most famously created Docker and now runs Dagger… which has something special to share with you on Thursday. Catch Dagger at: - Tuesday: Dagger's workshop https://www.ai.engineer/schedule#ship-agents-that-ship-a-hands-on-workshop-for-swe-agent-builders - Wednesday: Dagger's talk: https://www.ai.engineer/schedule#how-to-trust-an-agent-with-software-delivery - Thursday: Solomon's Keynote https://www.ai.engineer/schedule#containing-agent-chaos Chapters 00:00 Introduction & Guest Background 00:29 What is Dagger? Post-Development Automation 01:08 Dagger's Community & Platform Engineers 02:32 AI Agents and Developer Workflows 03:40 Environment Isolation & The Power of Containers 06:28 The Need for Standards in Agent Environments 07:25 Design Constraints & Challenges for Dev Environments 11:26 Limitations of Current Tools & Agent-Native UX 14:11 Modularity, Customization, and the Lego Analogy 16:24 Convergence of CICD and Agentic Systems 17:41 Ephemeral Apps, Resource Constraints, and Local Execution 21:01 Adoption, Ecosystem, and the Role of Open Source 23:30 Dagger's Modular Approach & Integration Philosophy 25:38 Looking Ahead: Workshops, Keynotes, and the Future of Agentic Infrastructure

Today, we're diving deep into Semaphore's architecture with Radosław Woźniak, Software Architect at Semaphore. He's here to break down the inner workings of our CI/CD platform — from its 30+ microservices to how a simple git push triggers a series of interactions across Semaphore's infrastructure. Whether you're a contributor looking to understand the system or just curious about how Semaphore handles complex workflows, this episode is packed with valuable insights. Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review on the podcast player of your choice and share it with your friends.

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Sudheer Amgothu is a seasoned DevOps engineer with over a decade of experience, renowned for his expertise in cloud technologies, infrastructure automation, and DevOps practices. His career spans various industries, where he has implemented DevOps strategies to accelerate software development cycles, improve system reliability, and enhance operational efficiency."I started my career as a traditional systems engineer," Sudheer says, reflecting on his journey. "I was always drawn to automation, seeing the inefficiencies in manual processes, especially around deployments and monitoring. That's what pulled me into the world of DevOps." His early work in infrastructure automation on AWS laid the foundation for his expertise in the field. "At Elevation, I led efforts to automate the entire infrastructure stack using Terraform and Ansible, which empowered development teams to work faster with less friction."In addition to his technical prowess, Sudheer is an advocate for the cultural transformation DevOps fosters within organizations. "DevOps is more than just automation or tools. It's a culture that brings development and operations teams together with a shared goal of delivering software faster, more reliably, and with higher quality," he explains. "It emphasizes collaboration, continuous feedback, and a mindset of continuous improvement."Sudheer's new book, Mastering DevOps with Kubernetes and Cloud: A Practical Guide, draws from his vast experience and is designed as a hands-on resource for mastering DevOps. "I wanted to create a practical guide, not a theory-heavy textbook," he says. "It's loaded with real-world war stories, step-by-step walkthroughs, and diagrams that show how tools like Terraform, Jenkins, and Kubernetes work together in modern DevOps pipelines."His book, which covers everything from the basics to advanced techniques, was inspired by his conversations with junior engineers and site reliability engineers (SREs). "They understood what DevOps is but struggled with the 'why' and 'how,'" he recalls. "I realized the need for a guide that answers those questions and provides actionable insights."Sudheer's expertise extends beyond DevOps to cloud platforms and Kubernetes, where he has successfully scaled microservices platforms and implemented observability practices. "At Pega, we centralized Prometheus and Grafana dashboards to ensure real-time visibility into production issues," he says. "This proactive approach helped us detect anomalies before they became incidents, improving both system reliability and customer satisfaction."For aspiring DevOps professionals, Sudheer advises, "Don't rush. Start with the basics. Pick a tool like Jenkins, learn how a CI/CD pipeline works, and build from there. The most important thing is hands-on practice and experimentation." His dedication to mentoring the next generation of engineers is evident in his personal approach to career growth, encouraging others to document their learning and contribute to open-source projects.Sudheer's passion for DevOps, cloud technologies, and continuous improvement makes him a respected figure in the field, and his book stands as an essential resource for anyone looking to excel in modern IT environments.You read read the full interview transcript here: https://shoutradio.org.uk/RNH/SudheerAmgothuInterview.pdfAnd find his book here: https://a.co/d/ecU0gzEHighlights from Toby Gribben's Friday afternoon show on Shout Radio. Featuring chat with top showbiz guests. Hosted on Acast. See acast.com/privacy for more information.

LMArena cofounders Anastasios N. Angelopoulos, Wei-Lin Chiang, and Ion Stoica sit down with a16z general partner Anjney Midha to talk about the future of AI evaluation. As benchmarks struggle to keep up with the pace of real-world deployment, LMArena is reframing the problem: what if the best way to test AI models is to put them in front of millions of users and let them vote? The team discusses how Arena evolved from a research side project into a key part of the AI stack, why fresh and subjective data is crucial for reliability, and what it means to build a CI/CD pipeline for large models.They also explore:Why expert-only benchmarks are no longer enough.How user preferences reveal model capabilities — and their limits.What it takes to build personalized leaderboards and evaluation SDKs.Why real-time testing is foundational for mission-critical AI.Follow everyone on X:Anastasios N. AngelopoulosWei-Lin ChiangIon StoicaAnjney MidhaTimestamps0:04 -  LLM evaluation: From consumer chatbots to mission-critical systems6:04 -  Style and substance: Crowdsourcing expertise18:51 -  Building immunity to overfitting and gaming the system29:49 -  The roots of LMArena41:29 -   Proving the value of academic AI research48:28 -  Scaling LMArena and starting a company59:59 -  Benchmarks, evaluations, and the value of ranking LLMs1:12:13 -  The challenges of measuring AI reliability1:17:57 -  Expanding beyond binary rankings as models evolve1:28:07 -  A leaderboard for each prompt1:31:28 -  The LMArena roadmap1:34:29 -  The importance of open source and openness1:43:10 -  Adapting to agents (and other AI evolutions) Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

In the Season 14 premiere, hosts Dan Ivovich and Sundi Myint chat with Isaac Yonemoto, creator of the Zigler library, to explore how Zigler brings Zig's performance and safety to Elixir through Native Implemented Functions (NIFs). Isaac walks through the core design of Zigler and how it auto-generates the Elixir-to-Zig bridge, enforces type safety, and exposes multiple execution modes (normal, dirty, threaded). The conversation covers real-world applications, from SIMD-powered token selection for LLM hardware acceleration to OTP-style fault tolerance in low-level code. Isaac shares his own journey: stepping back from professional software work to launch a biotech startup focused on reducing drug manufacturing costs while continuing to maintain Zigler and even leveraging Elixir for bioinformatics pipelines. Topics discussed in this episode: What is the Zigler library and what does it do? What does it mean to run a "dirty NIF"? Async mode is temporarily removed from Zig (therefore, yielding NIFs is temporarily deprecated in Zigler) Zigler's three execution modes (normal, dirty, and threaded) and how you switch modes with a single config change Isaac's journey from professional software work to launching a biotech startup How Isaac leverages Elixir in bioinformatics pipelines at his startup LLM hardware acceleration using Zigler NIFs and SIMD-powered token picking Fault-tolerant load balancing of NIF workloads via OTP principles Transparent handling and recovery from hardware failures through monitoring Potential future memory-safety features in Zig and their implications The Elixir-based borrow-checker prototype: purpose and design Unit-checking for scientific computations to enforce correctness New OS support in Zigler 0.14: macOS, Windows, and FreeBSD Inline Zig code authoring directly within Elixir modules Isaac's commitment to maintain Zigler through its 1.0 release (...and beyond?) Links mentioned: https://github.com/E-xyza/zigler https://github.com/ziglang/zig https://vidalalabs.com/ Zig Programming Language: https://ziglang.org/ https://obsidian.md/ https://hexdocs.pm/elixir/macros.html https://erlang.org/documentation/doc-4.7.3/doc/extensions/macros.html A Deep Dive Into the Elixir AST: https://dorgan.ar/posts/2021/04/theelixirast/ https://www.erlang.org/doc/system/nif.html https://nodejs.org/en Llama Open-Source LLM: https://www.llama.com/ Mixtral Open-Source LLM: https://mistral.ai/news/mixtral-of-experts https://Fly.io SIMD: https://en.wikipedia.org/wiki/Singleinstruction,multiple_data https://opentrons.com/ CI/CD: https://en.wikipedia.org/wiki/CI/CD https://hexdocs.pm/zigler/Zig.html http://www.x.com/DNAutics https://bsky.app/profile/dnautics.bsky.social

In this episode of DevOps Diaries, host Jack McCurdy sits down with Dangsenpenan, a Salesforce Analyst at RSPCA. Discover Dangsenpenan's inspiring self-taught journey into the Salesforce world and how he's paying it forward by founding West Africa Dreaming. Learn about the power of accountability, the strength of the global Salesforce Ohana in fostering local talent, and the challenges of event sponsorship. Dangsenpenan also shares insights on engaging the next generation in tech and the evolving definition of community in the digital age. Tune in for a story of passion, community building, and the transformative impact of non-profit work.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKWChapters:00:00 Introduction to Dangsenpenan's Journey02:53 The Path to Salesforce: A Unique Journey05:53 Self-Learning and Overcoming Challenges09:02 The Importance of Accountability in Learning11:51 Building a Community: West Africa Dreaming14:53 Creating Opportunities for Others17:59 The Global Salesforce Community and Its Impact20:59 Vision for the Future: Expanding the Community25:37 Building Community Through Ohana Spirit30:29 Overcoming Challenges in Sponsorship35:47 The Power of Non-Profit Work41:48 Engaging the Next Generation in Tech45:03 Redefining Community in the Digital Age

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

At KubeCon EU 2025 in London, Nirmal and I discussed the important (and not-so-important) things you might have missed. There's also a video version of this show on YouTube.Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Nirmal Mehta - Host (00:00) - DDT Audio Podcast Edited (00:04) - Intro (01:24) - KubeCon 2025 EU Overview (03:24) - Platform Engineering and AI Trends (07:03) - AI and Machine Learning in Kubernetes (15:38) - Project Pavilions at KubeCon (17:05) - FinOps and Cost Optimization (20:39) - HAProxy and AI Gateways (24:00) - Proxy Intelligence and Network Layer Optimization (26:52) - Developer Experience and Organizational Challenges (29:23) - Platform Engineering and Cognitive Load (35:54) - End of Life for CNCF Projects You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com

#ptyxis se ha confirmado como la próxima terminal por defecto en #ubuntu 25.10 enfocada en el uso de contenedores y otras características interesantesVivimos en una época en la que la forma de desarrollar, desplegar y mantener software ha cambiado radicalmente. Cada vez es más común que tanto en el entorno profesional como en el personal trabajemos con contenedores, como Docker, Podman o herramientas como Distrobox o Toolbox, que nos permiten encapsular aplicaciones o entornos completos de desarrollo.En este nuevo paradigma, conceptos como DevOps, CI/CD y la automatización de despliegues ya no son exclusivos de grandes empresas. Cada vez más desarrolladores individuales, administradores de sistemas y entusiastas de Linux los incorporan en su flujo de trabajo diario.Además, con la proliferación de proyectos en múltiples lenguajes, versiones de dependencias y entornos, la necesidad de mantener sistemas aislados y reproducibles se ha convertido en una prioridad. Aquí es donde los contenedores se vuelven esenciales: no solo para ejecutar aplicaciones, sino también para desarrollar, probar y depurar.Y en medio de todo esto, la terminal sigue siendo la herramienta principal. Pero una terminal tradicional, pensada para un sistema único, empieza a quedarse corta frente a las necesidades de entornos híbridos, múltiples contenedores, sesiones aisladas, y monitoreo de procesos.Ahí es donde entra Ptyxis. Una terminal pensada específicamente para este nuevo contexto.Más información y enlaces en las notas del episodio

Вторая часть подкаста про такую неоднозначную тему, как запуск полноценных виртуалок в кубернетесе. Кто: Андрей Квапил. CEO & Founder Ænix, core-разработчик платформы Cozystack Георг Гаал. CTO & Co-founder Ænix Про что: Cozystack приняли в CNCF Как устроена сеть в kubvirt (харвейстер, козистек, опеншифт) в сравнении с обычной виртуализации Кубернетес в кубернетесе Базы данных как сервис и как осуществляется доступ к ним? Обычные виртуалки и все приблуды для CI/CD (argocd и всякое такое вместе с ансиблом/тераформом) Как попробовать Cozystack?

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

In this episode of Semaphore Uncut, Darko Fabijan welcomes Marcelo Calbucci—engineer, startup founder, and author of The PR FAQ Book. Marcelo shares insights from his time at Amazon, where he encountered a decision-making framework that changed how he thinks about product development: the PR FAQ.What starts as an internal press release quickly becomes a strategic tool to align teams, evaluate product ideas, and make better decisions—before writing a single line of code.Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review on the podcast player of your choice and share it with your friends.

Where does the next phase of AI-assistants for software development go next? Is it an evolution of developer productivity, or a complete rethinking of the barriers and limitations for broader software development? SHOW: 924SHOW TRANSCRIPT: The Cloudcast #924 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:WHERE DO AI DEVELOPER-ASSISTANTS GO NEXT?A year ago it felt like co-pilots were one of the entry point use-cases for AI.Since then we've seen numbers say the uplift is 10-20% productivity.Microsoft claims that 20-30% of their code is now written by AIs.We've seen many senior developers speakout that it's not replacement level technology and they don't trust it.Companies like Cursor have a $9-10B valuation. Windsurf just got purchased for $3B by OpenAI.Microsoft has Co-Pilot (based on OpenAI models). Google and Amazon are rumored to be launching their own.Lots of companies are launching agents (IBM, Salesforce, Oracle, etc.), and lots of agent frameworks now exist. So where does it go next? Is it just wide-spead adoption of developer productivity? Is it specialized functions within developer workflows? (e.g. CI/CD, documentation, security evaluations, bug fixes, long-term maintenance, etc.)How far are we from teams being just a few architects, leads, Sr. Devs, and then teams of AI's (agents, etc.)?Is that a good thing for Sr. Dev personalities that didn't want to focus on soft-skills?Does that allow for greater experimentation against feature-requests or stories, since they can create more, test more, etc.?Do we start to see companies create skunkworks teams/groups that try to adopt this approach? Are product managers ready to have zero-backlogs and the demand for new ideas to increase?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Codemagic CEO Martin Remmelgas joins Robin and Mazen to talk mobile CI/CD in 2025: Why build tooling still has rough edges, how Codemagic handles versioning and code signing, and where the developer experience still needs work.Show NotesReact Native CI/CD with CodemagicCodemagicConnect With Us!Martin Remmelgas: @martinjeretRobin Heinze: @robinheinzeMazen Chami: @mazenchamiReact Native Radio: @ReactNativeRdioThis episode is brought to you by Infinite Red!Infinite Red is an expert React Native consultancy located in the USA. With nearly a decade of React Native experience and deep roots in the React Native community (hosts of Chain React and the React Native Newsletter, core React Native contributors, creators of Ignite and Reactotron, and much, much more), Infinite Red is the best choice for helping you build and deploy your next React Native app.

Ever wondered what it takes to climb the ladder from Salesforce developer to Salesforce architect to Salesforce manager in the complex and fast-paced ecosystem we live in?  In this episode of DevOps Diaries, host Jack McCurdy sits down with Salesforce leader Jessica Riffe to uncover her incredible journey. Get ready for a deep dive into the evolution of Salesforce DevOps, the secrets to impactful documentation, and the real-world challenges (and triumphs!) of growing a high-performing team. If you're navigating your own DevOps transformation or looking to elevate your team's collaboration, Jessica's hard-won insights on pipelines, understanding DevOps user needs, and effective communication are pure gold. Don't miss these invaluable lessons – listen to the full episode now!About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKW

Mat X, JD, and special guest Rod Christensen from Emily Carr University invite you to the next exciting chapter of the MacDevOps YVR podcast. In this episode, the conversation spans across the adoption of DevOps practices in managing Macs, ongoing experiences with various software tools, and the shared thrill of transforming workflows into more efficient systems. It's an engaging mix of personal anecdotes, technical insights, and lively banter that showcases how fostering collaboration within the tech community can lead to innovation and success.

Bu bölümde ekiplerin ve bireylerin omuzlarındaki “bilişsel yük” kavramını masaya yatırıyoruz. Codefiction ekibi, context-switching'in verimliliği nasıl düşürdüğünü, ölçek büyüdükçe teknoloji setinin çeşitlenmesinin ve sorumlulukların yayılmasının geliştiricinin zihinsel kapasitesini nasıl zorladığını örneklerle anlatıyor. Front-end'den veri tabanına, CI/CD pipeline'larına insan-kaynakları işlemlerine kadar uzanan dağınık görevlerin, doğru kurgulanmamış süreçler ve eksik dokümantasyonla birleşince ne kadar görünmez bir “yavaşlatıcı”ya dönüştüğü açıklanıyor. İkinci kısımda bilişsel yükün hem ekip çıktısını hem de çalışan sağlığını (burn-out riskini) nasıl etkilediği tartışılıyor; Team Topologies, Developer Experience ekipleri, “discovery” time-box'ları, standardize teknoloji seçimleri, net domain sınırları ve iyi yazılmış dokümantasyon gibi çözümler tartışılıyor. Teknik borcun ve sürekli toplantı trafiğinin yaratabileceği gizli maliyetlere değinilirken, yöneticilerin olduğu kadar ekip üyelerinin de yükü ölçme-dile-getirme sorumluluğu vurgulanıyor. Bölüm, “her şeyi yapmaya çalışmak yerine önceliklendirmek, sınırlar koymak ve odaklanmak” çağrısıyla kapanıyor. Katılımcılar;Fırat ÖzbolatDeniz İrginMert SusurDeniz ÖzgenBarış ÖzaydınOnur Aykaç

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

William Woodruff discussed his project, Zizmor, a security linter designed to help developers identify and fix vulnerabilities within their GitHub Actions workflows. This tool addresses inherent security risks in GitHub Actions, such as injection vulnerabilities, permission issues, and mutable tags, by providing static analysis and remediation guidance. Fresh off the heels of the tj-actions/changed-files backdoor, this is a great topic with some things everyone can do right away. The show notes and blog post for this episode can be found at https://opensourcesecurity.io/2025/2025-05-securing-github-actions-william-woodruff/

Gros épisode qui couvre un large spectre de sujets : Java, Scala, Micronaut, NodeJS, l'IA et la compétence des développeurs, le sampling dans les LLMs, les DTO, le vibe coding, les changements chez Broadcom et Red Hat ainsi que plusieurs nouvelles sur les licences open source. Enregistré le 7 mai 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-325.mp3 ou en vidéo sur YouTube. News Langages A l'occasion de JavaOne et du lancement de Java 24, Oracle lance un nouveau site avec des ressources vidéo pour apprendre le langage https://learn.java/ site plutôt à destination des débutants et des enseignants couvre la syntaxe aussi, y compris les ajouts plus récents comme les records ou le pattern matching c'est pas le site le plus trendy du monde. Martin Odersky partage un long article sur l'état de l'écosystème Scala et les évolutions du language https://www.scala-lang.org/blog/2025/03/24/evolving-scala.html Stabilité et besoin d'évolution : Scala maintient sa position (~14ème mondial) avec des bases techniques solides, mais doit évoluer face à la concurrence pour rester pertinent. Axes prioritaires : L'évolution se concentre sur l'amélioration du duo sécurité/convivialité, le polissage du langage (suppression des “rugosités”) et la simplification pour les débutants. Innovation continue : Geler les fonctionnalités est exclu ; l'innovation est clé pour la valeur de Scala. Le langage doit rester généraliste et ne pas se lier à un framework spécifique. Défis et progrès : L'outillage (IDE, outils de build comme sbt, scala-cli, Mill) et la facilité d'apprentissage de l'écosystème sont des points d'attention, avec des améliorations en cours (partenariat pédagogique, plateformes simples). Des strings encore plus rapides ! https://inside.java/2025/05/01/strings-just-got-faster/ Dans JDK 25, la performance de la fonction String::hashCode a été améliorée pour être principalement constant foldable. Cela signifie que si les chaînes de caractères sont utilisées comme clés dans une Map statique et immuable, des gains de performance significatifs sont probables. L'amélioration repose sur l'annotation interne @Stable appliquée au champ privé String.hash. Cette annotation permet à la machine virtuelle de lire la valeur du hash une seule fois et de la considérer comme constante si elle n'est pas la valeur par défaut (zéro). Par conséquent, l'opération String::hashCode peut être remplacée par la valeur de hash connue, optimisant ainsi les lookups dans les Map immuables. Un cas limite est celui où le code de hachage de la chaîne est zéro, auquel cas l'optimisation ne fonctionne pas (par exemple, pour la chaîne vide “”). Bien que l'annotation @Stable soit interne au JDK, un nouveau JEP (JEP 502: Stable Values (Preview)) est en cours de développement pour permettre aux utilisateurs de bénéficier indirectement de fonctionnalités similaires. AtomicHash, une implémentation Java d'une HashMap qui est thread-safe, atomique et non-bloquante https://github.com/arxila/atomichash implémenté sous forme de version immutable de Concurrent Hash Trie Librairies Sortie de Micronaut 4.8.0 https://micronaut.io/2025/04/01/micronaut-framework-4-8-0-released/ Mise à jour de la BOM (Bill of Materials) : La version 4.8.0 met à jour la BOM de la plateforme Micronaut. Améliorations de Micronaut Core : Intégration de Micronaut SourceGen pour la génération interne de métadonnées et d'expressions bytecode. Nombreuses améliorations dans Micronaut SourceGen. Ajout du traçage de l'injection de dépendances pour faciliter le débogage au démarrage et à la création des beans. Nouveau membre definitionType dans l'annotation @Client pour faciliter le partage d'interfaces entre client et serveur. Support de la fusion dans les Bean Mappers via l'annotation @Mapping. Nouvelle liveness probe détectant les threads bloqués (deadlocked) via ThreadMXBean. Intégration Kubernetes améliorée : Mise à jour du client Java Kubernetes vers la version 22.0.1. Ajout du module Micronaut Kubernetes Client OpenAPI, offrant une alternative au client officiel avec moins de dépendances, une configuration unifiée, le support des filtres et la compatibilité Native Image. Introduction d'un nouveau runtime serveur basé sur le serveur HTTP intégré de Java, permettant de créer des applications sans dépendances serveur externes. Ajout dans Micronaut Micrometer d'un module pour instrumenter les sources de données (traces et métriques). Ajout de la condition condition dans l'annotation @MetricOptions pour contrôler l'activation des métriques via une expression. Support des Consul watches dans Micronaut Discovery Client pour détecter les changements de configuration distribuée. Possibilité de générer du code source à partir d'un schéma JSON via les plugins de build (Gradle et Maven). Web Node v24.0.0 passe en version Current: https://nodejs.org/en/blog/release/v24.0.0 Mise à jour du moteur V8 vers la version 13.6 : intégration de nouvelles fonctionnalités JavaScript telles que Float16Array, la gestion explicite des ressources (using), RegExp.escape, WebAssembly Memory64 et Error.isError. npm 11 inclus : améliorations en termes de performance, de sécurité et de compatibilité avec les packages JavaScript modernes. Changement de compilateur pour Windows : abandon de MSVC au profit de ClangCL pour la compilation de Node.js sur Windows. AsyncLocalStorage utilise désormais AsyncContextFrame par défaut : offrant une gestion plus efficace du contexte asynchrone. URLPattern disponible globalement : plus besoin d'importer explicitement cette API pour effectuer des correspondances d'URL. Améliorations du modèle de permissions : le flag expérimental --experimental-permission devient --permission, signalant une stabilité accrue de cette fonctionnalité. Améliorations du test runner : les sous-tests sont désormais attendus automatiquement, simplifiant l'écriture des tests et réduisant les erreurs liées aux promesses non gérées. Intégration d'Undici 7 : amélioration des capacités du client HTTP avec de meilleures performances et un support étendu des fonctionnalités HTTP modernes. Dépréciations et suppressions : Dépréciation de url.parse() au profit de l'API WHATWG URL. Suppression de tls.createSecurePair. Dépréciation de SlowBuffer. Dépréciation de l'instanciation de REPL sans new. Dépréciation de l'utilisation des classes Zlib sans new. Dépréciation du passage de args à spawn et execFile dans child_process. Node.js 24 est actuellement la version “Current” et deviendra une version LTS en octobre 2025. Il est recommandé de tester cette version pour évaluer son impact sur vos applications. Data et Intelligence Artificielle Apprendre à coder reste crucial et l'IA est là pour venir en aide : https://kyrylo.org/software/2025/03/27/learn-to-code-ignore-ai-then-use-ai-to-code-even-better.html Apprendre à coder reste essentiel malgré l'IA. L'IA peut assister la programmation. Une solide base est cruciale pour comprendre et contrôler le code. Cela permet d'éviter la dépendance à l'IA. Cela réduit le risque de remplacement par des outils d'IA accessibles à tous. L'IA est un outil, pas un substitut à la maîtrise des fondamentaux. Super article de Anthropic qui essaie de comprendre comment fonctionne la “pensée” des LLMs https://www.anthropic.com/research/tracing-thoughts-language-model Effet boîte noire : Stratégies internes des IA (Claude) opaques aux développeurs et utilisateurs. Objectif : Comprendre le “raisonnement” interne pour vérifier capacités et intentions. Méthode : Inspiration neurosciences, développement d'un “microscope IA” (regarder quels circuits neuronaux s'activent). Technique : Identification de concepts (“features”) et de “circuits” internes. Multilinguisme : Indice d'un “langage de pensée” conceptuel commun à toutes les langues avant de traduire dans une langue particulière. Planification : Capacité à anticiper (ex: rimes en poésie), pas seulement de la génération mot par mot (token par token). Raisonnement non fidèle : Peut fabriquer des arguments plausibles (“bullshitting”) pour une conclusion donnée. Logique multi-étapes : Combine des faits distincts, ne se contente pas de mémoriser. Hallucinations : Refus par défaut ; réponse si “connaissance” active, sinon risque d'hallucination si erreur. “Jailbreaks” : Tension entre cohérence grammaticale (pousse à continuer) et sécurité (devrait refuser). Bilan : Méthodes limitées mais prometteuses pour la transparence et la fiabilité de l'IA. Le “S” dans MCP veut dire Securité (ou pas !) https://elenacross7.medium.com/%EF%B8%8F-the-s-in-mcp-stands-for-security-91407b33ed6b La spécification MCP pour permettre aux LLMs d'avoir accès à divers outils et fonctions a peut-être été adoptée un peu rapidement, alors qu'elle n'était pas encore prête niveau sécurité L'article liste 4 types d'attaques possibles : vulnérabilité d'injection de commandes attaque d'empoisonnement d'outils redéfinition silencieuse de l'outil le shadowing d'outils inter-serveurs Pour l'instant, MCP n'est pas sécurisé : Pas de standard d'authentification Pas de chiffrement de contexte Pas de vérification d'intégrité des outils Basé sur l'article de InvariantLabs https://invariantlabs.ai/blog/mcp-security-notification-tool-poisoning-attacks Sortie Infinispan 15.2 - pre rolling upgrades 16.0 https://infinispan.org/blog/2025/03/27/infinispan-15-2 Support de Redis JSON + scripts Lua Métriques JVM désactivables Nouvelle console (PatternFly 6) Docs améliorées (métriques + logs) JDK 17 min, support JDK 24 Fin du serveur natif (performances) Guillaume montre comment développer un serveur MCP HTTP Server Sent Events avec l'implémentation de référence Java et LangChain4j https://glaforge.dev/posts/2025/04/04/mcp-client-and-server-with-java-mcp-sdk-and-langchain4j/ Développé en Java, avec l'implémentation de référence qui est aussi à la base de l'implémentation dans Spring Boot (mais indépendant de Spring) Le serveur MCP est exposé sous forme de servlet dans Jetty Le client MCP lui, est développé avec le module MCP de LangChain4j c'est semi independant de Spring dans le sens où c'est dépendant de Reactor et de ses interface. il y a une conversation sur le github d'anthropic pour trouver une solution, mais cela ne parait pas simple. Les fallacies derrière la citation “AI won't replace you, but humans using AI will” https://platforms.substack.com/cp/161356485 La fallacie de l'automatisation vs. l'augmentation : Elle se concentre sur l'amélioration des tâches existantes avec l'IA au lieu de considérer le changement de la valeur de ces tâches dans un nouveau système. La fallacie des gains de productivité : L'augmentation de la productivité ne se traduit pas toujours par plus de valeur pour les travailleurs, car la valeur créée peut être capturée ailleurs dans le système. La fallacie des emplois statiques : Les emplois sont des constructions organisationnelles qui peuvent être redéfinies par l'IA, rendant les rôles traditionnels obsolètes. La fallacie de la compétition “moi vs. quelqu'un utilisant l'IA” : La concurrence évolue lorsque l'IA modifie les contraintes fondamentales d'un secteur, rendant les compétences existantes moins pertinentes. La fallacie de la continuité du flux de travail : L'IA peut entraîner une réimagination complète des flux de travail, éliminant le besoin de certaines compétences. La fallacie des outils neutres : Les outils d'IA ne sont pas neutres et peuvent redistribuer le pouvoir organisationnel en changeant la façon dont les décisions sont prises et exécutées. La fallacie du salaire stable : Le maintien d'un emploi ne garantit pas un salaire stable, car la valeur du travail peut diminuer avec l'augmentation des capacités de l'IA. La fallacie de l'entreprise stable : L'intégration de l'IA nécessite une restructuration de l'entreprise et ne se fait pas dans un vide organisationnel. Comprendre le “sampling” dans les LLMs https://rentry.co/samplers Explique pourquoi les LLMs utilisent des tokens Les différentes méthodes de “sampling” : càd de choix de tokens Les hyperparamètres comme la température, top-p, et leur influence réciproque Les algorithmes de tokenisation comme Byte Pair Encoding et SentencePiece. Un de moins … OpenAI va racheter Windsurf pour 3 milliards de dollars. https://www.bloomberg.com/news/articles/2025-05-06/openai-reaches-agreement-to-buy-startup-windsurf-for-3-billion l'accord n'est pas encore finalisé Windsurf était valorisé à 1,25 milliards l'an dernier et OpenAI a levé 40 milliards dernièrement portant sa valeur à 300 milliards Le but pour OpenAI est de rentrer dans le monde des assistants de code pour lesquels ils sont aujourd'hui absent Docker desktop se met à l'IA… ? Une nouvelle fonctionnalité dans docker desktop 4.4 sur macos: Docker Model Runner https://dev.to/docker/run-genai-models-locally-with-docker-model-runner-5elb Permet de faire tourner des modèles nativement en local ( https://docs.docker.com/model-runner/ ) mais aussi des serveurs MCP ( https://docs.docker.com/ai/mcp-catalog-and-toolkit/ ) Outillage Jetbrains défend la suppression des commentaires négatifs sur son assistant IA https://devclass.com/2025/04/30/jetbrains-defends-removal-of-negative-reviews-for-unpopular-ai-assistant/?td=rt-3a L'IA Assistant de JetBrains, lancée en juillet 2023, a été téléchargée plus de 22 millions de fois mais n'est notée que 2,3 sur 5. Des utilisateurs ont remarqué que certaines critiques négatives étaient supprimées, ce qui a provoqué une réaction négative sur les réseaux sociaux. Un employé de JetBrains a expliqué que les critiques ont été supprimées soit parce qu'elles mentionnaient des problèmes déjà résolus, soit parce qu'elles violaient leur politique concernant les “grossièretés, etc.” L'entreprise a reconnu qu'elle aurait pu mieux gérer la situation, un représentant déclarant : “Supprimer plusieurs critiques d'un coup sans préavis semblait suspect. Nous aurions dû au moins publier un avis et fournir plus de détails aux auteurs.” Parmi les problèmes de l'IA Assistant signalés par les utilisateurs figurent : un support limité pour les fournisseurs de modèles tiers, une latence notable, des ralentissements fréquents, des fonctionnalités principales verrouillées aux services cloud de JetBrains, une expérience utilisateur incohérente et une documentation insuffisante. Une plainte courante est que l'IA Assistant s'installe sans permission. Un utilisateur sur Reddit l'a qualifié de “plugin agaçant qui s'auto-répare/se réinstalle comme un phénix”. JetBrains a récemment introduit un niveau gratuit et un nouvel agent IA appelé Junie, destiné à fonctionner parallèlement à l'IA Assistant, probablement en réponse à la concurrence entre fournisseurs. Mais il est plus char a faire tourner. La société s'est engagée à explorer de nouvelles approches pour traiter les mises à jour majeures différemment et envisage d'implémenter des critiques par version ou de marquer les critiques comme “Résolues” avec des liens vers les problèmes correspondants au lieu de les supprimer. Contrairement à des concurrents comme Microsoft, AWS ou Google, JetBrains commercialise uniquement des outils et services de développement et ne dispose pas d'une activité cloud distincte sur laquelle s'appuyer. Vos images de README et fichiers Markdown compatibles pour le dark mode de GitHub: https://github.blog/developer-skills/github/how-to-make-your-images-in-markdown-on-github-adjust-for-dark-mode-and-light-mode/ Seulement quelques lignes de pure HTML pour le faire Architecture Alors, les DTOs, c'est bien ou c'est pas bien ? https://codeopinion.com/dtos-mapping-the-good-the-bad-and-the-excessive/ Utilité des DTOs : Les DTOs servent à transférer des données entre les différentes couches d'une application, en mappant souvent les données entre différentes représentations (par exemple, entre la base de données et l'interface utilisateur). Surutilisation fréquente : L'article souligne que les DTOs sont souvent utilisés de manière excessive, notamment pour créer des API HTTP qui ne font que refléter les entités de la base de données, manquant ainsi l'opportunité de composer des données plus riches. Vraie valeur : La valeur réelle des DTOs réside dans la gestion du couplage entre les couches et la composition de données provenant de sources multiples en formes optimisées pour des cas d'utilisation spécifiques. Découplage : Il est suggéré d'utiliser les DTOs pour découpler les modèles de données internes des contrats externes (comme les API), ce qui permet une évolution et une gestion des versions indépendantes. Exemple avec CQRS : Dans le cadre de CQRS (Command Query Responsibility Segregation), les réponses aux requêtes (queries) agissent comme des DTOs spécifiquement adaptés aux besoins de l'interface utilisateur, pouvant inclure des données de diverses sources. Protection des données internes : Les DTOs aident à distinguer et protéger les modèles de données internes (privés) des changements externes (publics). Éviter l'excès : L'auteur met en garde contre les couches de mapping excessives (mapper un DTO vers un autre DTO) qui n'apportent pas de valeur ajoutée. Création ciblée : Il est conseillé de ne créer des DTOs que lorsqu'ils résolvent des problèmes concrets, tels que la gestion du couplage ou la facilitation de la composition de données. Méthodologies Même Guillaume se met au “vibe coding” https://glaforge.dev/posts/2025/05/02/vibe-coding-an-mcp-server-with-micronaut-and-gemini/ Selon Andrey Karpathy, c'est le fait de POC-er un proto, une appli jetable du weekend https://x.com/karpathy/status/1886192184808149383 Mais Simon Willison s'insurge que certains confondent coder avec l'assistance de l'IA avec le vibe coding https://simonwillison.net/2025/May/1/not-vibe-coding/ Guillaume c'est ici amusé à développer un serveur MCP avec Micronaut, en utilisant Gemini, l'IA de Google. Contrairement à Quarkus ou Spring Boot, Micronaut n'a pas encore de module ou de support spécifique pour faciliter la création de serveur MCP Sécurité Une faille de sécurité 10/10 sur Tomcat https://www.it-connect.fr/apache-tomcat-cette-faille-activement-exploitee-seulement-30-heures-apres-sa-divulgation-patchez/ Une faille de sécurité critique (CVE-2025-24813) affecte Apache Tomcat, permettant l'exécution de code à distance Cette vulnérabilité est activement exploitée seulement 30 heures après sa divulgation du 10 mars 2025 L'attaque ne nécessite aucune authentification et est particulièrement simple à exécuter Elle utilise une requête PUT avec une charge utile Java sérialisée encodée en base64, suivie d'une requête GET L'encodage en base64 permet de contourner la plupart des filtres de sécurité Les serveurs vulnérables utilisent un stockage de session basé sur des fichiers (configuration répandue) Les versions affectées sont : 11.0.0-M1 à 11.0.2, 10.1.0-M1 à 10.1.34, et 9.0.0.M1 à 9.0.98 Les mises à jour recommandées sont : 11.0.3+, 10.1.35+ et 9.0.99+ Les experts prévoient des attaques plus sophistiquées dans les prochaines phases d'exploitation (upload de config ou jsp) Sécurisation d'un serveur ssh https://ittavern.com/ssh-server-hardening/ un article qui liste les configurations clés pour sécuriser un serveur SSH par exemple, enlever password authentigfication, changer de port, desactiver le login root, forcer le protocol ssh 2, certains que je ne connaissais pas comme MaxStartups qui limite le nombre de connections non authentifiées concurrentes Port knocking est une technique utile mais demande une approche cliente consciente du protocol Oracle admet que les identités IAM de ses clients ont leaké https://www.theregister.com/2025/04/08/oracle_cloud_compromised/ Oracle a confirmé à certains clients que son cloud public a été compromis, alors que l'entreprise avait précédemment nié toute intrusion. Un pirate informatique a revendiqué avoir piraté deux serveurs d'authentification d'Oracle et volé environ six millions d'enregistrements, incluant des clés de sécurité privées, des identifiants chiffrés et des entrées LDAP. La faille exploitée serait la vulnérabilité CVE-2021-35587 dans Oracle Access Manager, qu'Oracle n'avait pas corrigée sur ses propres systèmes. Le pirate a créé un fichier texte début mars sur login.us2.oraclecloud.com contenant son adresse email pour prouver son accès. Selon Oracle, un ancien serveur contenant des données vieilles de huit ans aurait été compromis, mais un client affirme que des données de connexion aussi récentes que 2024 ont été dérobées. Oracle fait face à un procès au Texas concernant cette violation de données. Cette intrusion est distincte d'une autre attaque contre Oracle Health, sur laquelle l'entreprise refuse de commenter. Oracle pourrait faire face à des sanctions sous le RGPD européen qui exige la notification des parties affectées dans les 72 heures suivant la découverte d'une fuite de données. Le comportement d'Oracle consistant à nier puis à admettre discrètement l'intrusion est inhabituel en 2025 et pourrait mener à d'autres actions en justice collectives. Une GitHub action très populaire compromise https://www.stepsecurity.io/blog/harden-runner-detection-tj-actions-changed-files-action-is-compromised Compromission de l'action tj-actions/changed-files : En mars 2025, une action GitHub très utilisée (tj-actions/changed-files) a été compromise. Des versions modifiées de l'action ont exposé des secrets CI/CD dans les logs de build. Méthode d'attaque : Un PAT compromis a permis de rediriger plusieurs tags de version vers un commit contenant du code malveillant. Détails du code malveillant : Le code injecté exécutait une fonction Node.js encodée en base64, qui téléchargeait un script Python. Ce script parcourait la mémoire du runner GitHub à la recherche de secrets (tokens, clés…) et les exposait dans les logs. Dans certains cas, les données étaient aussi envoyées via une requête réseau. Période d'exposition : Les versions compromises étaient actives entre le 12 et le 15 mars 2025. Tout dépôt, particulièrement ceux publiques, ayant utilisé l'action pendant cette période doit être considéré comme potentiellement exposé. Détection : L'activité malveillante a été repérée par l'analyse des comportements inhabituels pendant l'exécution des workflows, comme des connexions réseau inattendues. Réaction : GitHub a supprimé l'action compromise, qui a ensuite été nettoyée. Impact potentiel : Tous les secrets apparaissant dans les logs doivent être considérés comme compromis, même dans les dépôts privés, et régénérés sans délai. Loi, société et organisation Les startup the YCombinateur ont les plus fortes croissances de leur histoire https://www.cnbc.com/2025/03/15/y-combinator-startups-are-fastest-growing-in-fund-history-because-of-ai.html Les entreprises en phase de démarrage à Silicon Valley connaissent une croissance significative grâce à l'intelligence artificielle. Le PDG de Y Combinator, Garry Tan, affirme que l'ensemble des startups de la dernière cohorte a connu une croissance hebdomadaire de 10% pendant neuf mois. L'IA permet aux développeurs d'automatiser des tâches répétitives et de générer du code grâce aux grands modèles de langage. Pour environ 25% des startups actuelles de YC, 95% de leur code a été écrit par l'IA. Cette révolution permet aux entreprises de se développer avec moins de personnel - certaines atteignant 10 millions de dollars de revenus avec moins de 10 employés. La mentalité de “croissance à tout prix” a été remplacée par un renouveau d'intérêt pour la rentabilité. Environ 80% des entreprises présentées lors du “demo day” étaient centrées sur l'IA, avec quelques startups en robotique et semi-conducteurs. Y Combinator investit 500 000 dollars dans les startups en échange d'une participation au capital, suivi d'un programme de trois mois. Red Hat middleware (ex-jboss) rejoint IBM https://markclittle.blogspot.com/2025/03/red-hat-middleware-moving-to-ibm.html Les activités Middleware de Red Hat (incluant JBoss, Quarkus, etc.) vont être transférées vers IBM, dans l'unité dédiée à la sécurité des données, à l'IAM et aux runtimes. Ce changement découle d'une décision stratégique de Red Hat de se concentrer davantage sur le cloud hybride et l'intelligence artificielle. Mark Little explique que ce transfert était devenu inévitable, Red Hat ayant réduit ses investissements dans le Middleware ces dernières années. L'intégration vise à renforcer l'innovation autour de Java en réunissant les efforts de Red Hat et IBM sur ce sujet. Les produits Middleware resteront open source et les clients continueront à bénéficier du support habituel sans changement. Mark Little affirme que des projets comme Quarkus continueront à être soutenus et que cette évolution est bénéfique pour la communauté Java. Un an de commonhaus https://www.commonhaus.org/activity/253.html un an, démarré sur les communautés qu'ils connaissaient bien maintenant 14 projets et put en accepter plus confiance, gouvernance legère et proteger le futur des projets automatisation de l'administratif, stabiilité sans complexité, les developpeurs au centre du processus de décision ils ont besoins de members et supporters (financiers) ils veulent accueillir des projets au delà de ceux du cercles des Java Champions Spring Cloud Data Flow devient un produit commercial et ne sera plus maintenu en open source https://spring.io/blog/2025/04/21/spring-cloud-data-flow-commercial Peut-être sous l'influence de Broadcom, Spring se met à mettre en mode propriétaire des composants du portefeuille Spring ils disent que peu de gens l'utilisaent en mode OSS et la majorité venait d'un usage dans la plateforme Tanzu Maintenir en open source le coutent du temps qu'ils son't pas sur ces projets. La CNCF protège le projet NATS, dans la fondation depuis 2018, vu que la société Synadia qui y contribue souhaitait reprendre le contrôle du projet https://www.cncf.io/blog/2025/04/24/protecting-nats-and-the-integrity-of-open-source-cncfs-commitment-to-the-community/ CNCF : Protège projets OS, gouvernance neutre. Synadia vs CNCF : Veut retirer NATS, licence non-OS (BUSL). CNCF : Accuse Synadia de “claw back” (reprise illégitime). Revendications Synadia : Domaine nats.io, orga GitHub. Marque NATS : Synadia n'a pas transféré (promesse rompue malgré aide CNCF). Contestation Synadia : Juge règles CNCF “trop vagues”. Vote interne : Mainteneurs Synadia votent sortie CNCF (sans communauté). Support CNCF : Investissement majeur ($ audits, légal), succès communautaire (>700 orgs). Avenir NATS (CNCF) : Maintien sous Apache 2.0, gouvernance ouverte. Actions CNCF : Health check, appel mainteneurs, annulation marque Synadia, rejet demandes. Mais finalement il semble y avoir un bon dénouement : https://www.cncf.io/announcements/2025/05/01/cncf-and-synadia-align-on-securing-the-future-of-the-nats-io-project/ Accord pour l'avenir de NATS.io : La Cloud Native Computing Foundation (CNCF) et Synadia ont conclu un accord pour sécuriser le futur du projet NATS.io. Transfert des marques NATS : Synadia va céder ses deux enregistrements de marque NATS à la Linux Foundation afin de renforcer la gouvernance ouverte du projet. Maintien au sein de la CNCF : L'infrastructure et les actifs du projet NATS resteront sous l'égide de la CNCF, garantissant ainsi sa stabilité à long terme et son développement en open source sous licence Apache-2.0. Reconnaissance et engagement : La Linux Foundation, par la voix de Todd Moore, reconnaît les contributions de Synadia et son soutien continu. Derek Collison, PDG de Synadia, réaffirme l'engagement de son entreprise envers NATS et la collaboration avec la Linux Foundation et la CNCF. Adoption et soutien communautaire : NATS est largement adopté et considéré comme une infrastructure critique. Il bénéficie d'un fort soutien de la communauté pour sa nature open source et l'implication continue de Synadia. Finalement, Redis revient vers une licence open source OSI, avec la AGPL https://foojay.io/today/redis-is-now-available-under-the-agplv3-open-source-license/ Redis passe à la licence open source AGPLv3 pour contrer l'exploitation par les fournisseurs cloud sans contribution. Le passage précédent à la licence SSPL avait nui à la relation avec la communauté open source. Salvatore Sanfilippo (antirez) est revenu chez Redis. Redis 8 adopte la licence AGPL, intègre les fonctionnalités de Redis Stack (JSON, Time Series, etc.) et introduit les “vector sets” (le support de calcul vectoriel développé par Salvatore). Ces changements visent à renforcer Redis en tant que plateforme appréciée des développeurs, conformément à la vision initiale de Salvatore. Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 6-7 mai 2025 : GOSIM AI Paris - Paris (France) 7-9 mai 2025 : Devoxx UK - London (UK) 15 mai 2025 : Cloud Toulouse - Toulouse (France) 16 mai 2025 : AFUP Day 2025 Lille - Lille (France) 16 mai 2025 : AFUP Day 2025 Lyon - Lyon (France) 16 mai 2025 : AFUP Day 2025 Poitiers - Poitiers (France) 22-23 mai 2025 : Flupa UX Days 2025 - Paris (France) 24 mai 2025 : Polycloud - Montpellier (France) 24 mai 2025 : NG Baguette Conf 2025 - Nantes (France) 3 juin 2025 : TechReady - Nantes (France) 5-6 juin 2025 : AlpesCraft - Grenoble (France) 5-6 juin 2025 : Devquest 2025 - Niort (France) 10-11 juin 2025 : Modern Workplace Conference Paris 2025 - Paris (France) 11-13 juin 2025 : Devoxx Poland - Krakow (Poland) 12 juin 2025 : Positive Design Days - Strasbourg (France) 12-13 juin 2025 : Agile Tour Toulouse - Toulouse (France) 12-13 juin 2025 : DevLille - Lille (France) 13 juin 2025 : Tech F'Est 2025 - Nancy (France) 17 juin 2025 : Mobilis In Mobile - Nantes (France) 19-21 juin 2025 : Drupal Barcamp Perpignan 2025 - Perpignan (France) 24 juin 2025 : WAX 2025 - Aix-en-Provence (France) 25-26 juin 2025 : Agi'Lille 2025 - Lille (France) 25-27 juin 2025 : BreizhCamp 2025 - Rennes (France) 26-27 juin 2025 : Sunny Tech - Montpellier (France) 1-4 juillet 2025 : Open edX Conference - 2025 - Palaiseau (France) 7-9 juillet 2025 : Riviera DEV 2025 - Sophia Antipolis (France) 5 septembre 2025 : JUG Summer Camp 2025 - La Rochelle (France) 12 septembre 2025 : Agile Pays Basque 2025 - Bidart (France) 18-19 septembre 2025 : API Platform Conference - Lille (France) & Online 23 septembre 2025 : OWASP AppSec France 2025 - Paris (France) 25-26 septembre 2025 : Paris Web 2025 - Paris (France) 2-3 octobre 2025 : Volcamp - Clermont-Ferrand (France) 3 octobre 2025 : DevFest Perros-Guirec 2025 - Perros-Guirec (France) 6-10 octobre 2025 : Devoxx Belgium - Antwerp (Belgium) 7 octobre 2025 : BSides Mulhouse - Mulhouse (France) 9-10 octobre 2025 : Forum PHP 2025 - Marne-la-Vallée (France) 9-10 octobre 2025 : EuroRust 2025 - Paris (France) 16 octobre 2025 : PlatformCon25 Live Day Paris - Paris (France) 16-17 octobre 2025 : DevFest Nantes - Nantes (France) 30-31 octobre 2025 : Agile Tour Bordeaux 2025 - Bordeaux (France) 30-31 octobre 2025 : Agile Tour Nantais 2025 - Nantes (France) 30 octobre 2025-2 novembre 2025 : PyConFR 2025 - Lyon (France) 4-7 novembre 2025 : NewCrafts 2025 - Paris (France) 6 novembre 2025 : dotAI 2025 - Paris (France) 7 novembre 2025 : BDX I/O - Bordeaux (France) 12-14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 13 novembre 2025 : DevFest Toulouse - Toulouse (France) 15-16 novembre 2025 : Capitole du Libre - Toulouse (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 27 novembre 2025 : Devfest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 10-11 décembre 2025 : Devops REX - Paris (France) 10-11 décembre 2025 : Open Source Experience - Paris (France) 28-31 janvier 2026 : SnowCamp 2026 - Grenoble (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 17 juin 2026 : Devoxx Poland - Krakow (Poland) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

This interview was recorded for GOTO Unscripted.gotopia.techRead the full transcription of this interview hereHannah Foxwell - Independent Consultant & Founder of "AI for the rest of us"Charles Humble - Freelance Techie, Podcaster, Editor, Author & ConsultantRESOURCESHannahhttps://bsky.app/profile/hannahfoxwell.nethttps://medium.com/@hannahfoxwellhttps://x.com/HannahFoxwellhttps://github.com/hannahfoxwellhttps://www.linkedin.com/in/hannah-foxwellCharleshttps://bsky.app/profile/charleshumble.bsky.socialhttps://linkedin.com/in/charleshumblehttps://mastodon.social/@charleshumblehttps://conissaunce.comDESCRIPTIONCharles Humble and Hannah Foxwell explore the multifaceted challenges and opportunities presented by emerging technologies, modern work practices, and management dynamics.They emphasize the importance of methodologies like pair programming, flexible work designs, and inclusive team environments, especially for accommodating neurodiverse and introverted individuals.Foxwell introduces the “three-teams model” to guide new managers in aligning with direct reports, leadership peers, and cross-functional collaborators. She underscores the significance of equitable leadership through mentorship, coaching, and sponsorship, particularly for underrepresented groups.Exploring  AI's potential, Foxwell highlights its transformative impact on software development and enterprise processes while cautioning against rushed adoption. She advocates for thoughtful experimentation and user-centric design, noting the need for cultural and structural shifts to fully realize AI's benefits. Ultimately, the conversation centers on intentionality, empathy, and the need for organizations to balance innovation with human-centric practices. [...]RECOMMENDED BOOKSKim, Humble, Debois, Willis & Forsgren • The DevOps HandbookJez Humble & David Farley • Continuous DeliveryBarbara Oakley • A Mind For NumbersPooja K. Agarwal & Patrice M. Bain • Powerful TeachingBarbara Oakley & Olav Schewe • Learn Like a ProDaniel Kahneman • Thinking, Fast and SlowMatthew Skelton & Manuel Pais • Team TopologBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

Kubernetes revolutionized the way software is built, deployed, and managed, offering engineers unprecedented agility and portability. But as Edera co-founder and CEO Emily Long shares, the speed and flexibility of containerization came with overlooked tradeoffs—especially in security. What started as a developer-driven movement to accelerate software delivery has now left security and infrastructure teams scrambling to contain risks that were never part of Kubernetes' original design.Emily outlines a critical flaw: Kubernetes wasn't built for multi-tenancy. As a result, shared kernels across workloads—whether across customers or internal environments—introduce lateral movement risks. In her words, “A container isn't real—it's just a set of processes.” And when containers share a kernel, a single exploit can become a system-wide threat.Edera addresses this gap by rethinking how containers are run—not rebuilt. Drawing from hypervisor tech like Xen and modernizing it with memory-safe Rust, Edera creates isolated “zones” for containers that enforce true separation without the overhead and complexity of traditional virtual machines. This isolation doesn't disrupt developer workflows, integrates easily at the infrastructure layer, and doesn't require retraining or restructuring CI/CD pipelines. It's secure by design, without compromising performance or portability.The impact is significant. Infrastructure teams gain the ability to enforce security policies without sacrificing cost efficiency. Developers keep their flow. And security professionals get something rare in today's ecosystem: true prevention. Instead of chasing billions of alerts and layering multiple observability tools in hopes of finding the needle in the haystack, teams using Edera can reduce the noise and gain context that actually matters.Emily also touches on the future—including the role of AI and “vibe coding,” and why true infrastructure-level security is essential as code generation becomes more automated and complex. With GPU security on their radar and a hardware-agnostic architecture, Edera is preparing not just for today's container sprawl, but tomorrow's AI-powered compute environments.This is more than a product pitch—it's a reframing of how we define and implement security at the container level. The full conversation reveals what's possible when performance, portability, and protection are no longer at odds.Learn more about Edera: https://itspm.ag/edera-434868Note: This story contains promotional content. Learn more.Guest: Emily Long, Founder and CEO, Edera | https://www.linkedin.com/in/emily-long-7a194b4/ResourcesLearn more and catch more stories from Edera: https://www.itspmagazine.com/directory/ederaLearn more and catch more stories from RSA Conference 2025 coverage: https://www.itspmagazine.com/rsac25______________________Keywords:sean martin, emily long, containers, kubernetes, hypervisor, multi-tenancy, devsecops, infrastructure, virtualization, cybersecurity, brand story, brand marketing, marketing podcast, brand story podcast______________________Catch all of our event coverage: https://www.itspmagazine.com/technology-and-cybersecurity-conference-coverageWant to tell your Brand Story Briefing as part of our event coverage? Learn More 

Thank you to the folks at Sustain (https://sustainoss.org/) for providing the hosting account for CHAOSSCast! CHAOSScast – Episode 109 In this episode of CHAOSScast, host Georg Link is joined by Cali Dolfi, Senior Data Scientist at Red Hat, and Brittany Istenes, FINOS Ambassador. The discussion delves into the importance of measuring open source community health and the role of Software Bill of Materials (SBOM) in ensuring software security and compliance. They talk about the rising threats in open source software, the need for standardizing SBOMs, and how organizations can leverage these tools to proactively manage risks and project health. Also, they touch on practical steps being taken at Red Hat and other organizations to address these challenges. Hit download now to hear more! [00:00:21] Our guests introduce themselves and their backgrounds. [00:01:55] Georg explains the rise of malicious packages (700%) and the risks of neglected open source components. [00:04:36] What is a SBOM? Brittany explains SBOMs as a list of all software components and libraries in each application and automation and tooling adoption is discussed. [00:06:08] Cali outlines the lack of consensus on SBOM fields and formats and advocates for including upstream repo links to assess project health. Brittany mentions companies being cautious about publicizing SBOMs due to IP concerns. [00:09:12] Georg gives a historical overview about SBOMs began as tools for license compliance and how SBOMs now cover more including cybersecurity, post U.S. Executive Order 14028 (May 2021). [00:15:51] Georg shares three pillars of SBOM strategy: License compliance, Security, and Project Health and how CHAOSS Metrics can be combined with SBOMs to move from reactive to proactive strategies. [00:16:59] Brittany emphasizes risk analysis and good design from project inception and proactive open source strategies save effort later. [00:18:43] Cali talks about using project health metrics and advocates for tracking maintainer activity, patch frequency, and project responsiveness. [00:21:28] Brittany stresses internal engineering education on project health and risk and developer smush understand what makes a project “healthy.” [00:22:55] Georg talks about how open source has evolved and details using CHAOSS metrics for risk assessment and CI/CD integration. [00:27:36] Cali shares Red Hat's efforts to define what makes a project vulnerable and how it's focused on detecting and sunsetting unmaintained dependencies. [00:31:37] Brittany emphasizes risk from version mismatches and misinterpreted CVEs and mentions a CHAOSS doc to read, “Metrics for OSS Viability” by Gary White. [00:34:17] We end with Georg sharing some upcoming events: CHAOSScon North America, June 26 and Open Source Summit North America, June 23-25. Value Adds (Picks) of the week: [00:36:08] Georg's pick is building a platform for his dog to look out the window. [00:37:06] Brittany's pick is spending time with Georg and Cali. [00:38:12] Cali's pick is her great support system since having ACL surgery. *Panelist: * Georg Link Guests: Cali Dolfi Brittany Istenes Links: CHAOSS (https://chaoss.community/) CHAOSS Project X (https://twitter.com/chaossproj?lang=en) CHAOSScast Podcast (https://podcast.chaoss.community/) podcast@chaoss.community (mailto:podcast@chaoss.community) Georg Link Website (https://georg.link/) Britany Istenes LinkedIn (https://www.linkedin.com/in/brittany-istenes-91b902152/) Brittany Istenes GitHub (https://github.com/BrittanyIstenes) Cali Dolfi LinkedIn (https://www.linkedin.com/in/calidolfi/) State of the Software Supply Chain (Sonatype) (https://www.sonatype.com/state-of-the-software-supply-chain/introduction) CHAOSScast Podcast-Episode 103: GrimoireLab at FreeBSD (https://podcast.chaoss.community/103) CHAOSS Community: Metrics for OSS Viability by Gary White (https://chaoss.community/viability-metrics-what-its-made-of/) CHAOSScon North America 2025, Denver, CO, June 26 (https://chaoss.community/chaosscon-2025-na/) Open Source Summit North America, Denver CO, June 23-25 (https://events.linuxfoundation.org/open-source-summit-north-america/) Fintech Open Source (FINOS) (https://www.finos.org/) Cyber Resilience Act (European Commission) (https://digital-strategy.ec.europa.eu/en/policies/cyber-resilience-act) Rising Threat: Understanding Software Supply Chain Cyberattacks And Protecting Against Them(Forbes) (https://www.forbes.com/councils/forbestechcouncil/2024/02/06/rising-threat-understanding-software-supply-chain-cyberattacks-and-protecting-against-them/) Executive Order on Strengthening and Promoting Innovation in the Nation's Cybersecurity (The White House) (https://bidenwhitehouse.archives.gov/briefing-room/presidential-actions/2025/01/16/executive-order-on-strengthening-and-promoting-innovation-in-the-nations-cybersecurity/) Types of Software Bill of Material (SBOM) Documents (https://www.cisa.gov/sites/default/files/2023-04/sbom-types-document-508c.pdf) OpenSSF Scorecard (https://openssf.org/projects/scorecard/) OSS Project Viability Starter (CHAOSS) (https://chaoss.community/kb/metrics-model-project-viability-starter/) Show Me What You Got: Turning SBOMs Into Actions- Georg Link & Brittany Istenes (https://lfms25.sched.com/event/1urWz) Special Guests: Brittany Istenes and Cali Dolfi.

Valerio Chang from Gearset chats to Jack about the evolving landscape of customer support in SaaS companies. Valerio offers a behind-the-scenes look at how Gearset has built a world-class support team, leaning into the importance of truly understanding customer needs and using documentation to elevate user experiences.Valerio delves into the unique challenges of supporting customers in the Salesforce ecosystem, and how the nature of Salesforce DevOps conversations has matured over time. Valerio discusses Gearset's mission to act not just as a tool provider but as a trusted advisor, helping users navigate complexity through empathy, curiosity, and continuous improvement.Throughout the conversation, Valerio highlights the power of asking the right questions, the role of customer feedback in shaping product development, and the fulfilment that comes from solving meaningful problems. The episode wraps with a thoughtful reflection on the human side of support and the profound impact it can have on the people behind the tickets.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKW

Even if you're not "doing DevOps," understanding it can seriously level up your development career. In this episode, Matt and Mike dive into why every web developer should care about DevOps practices, even at a basic level. They explore how deployment pipelines work, how Git supports safe code changes, and how you can prevent and fix production issues faster. You'll hear real-world examples showing how small habits—like writing good commit messages, checking build logs, and knowing when to rollback—can make you a better teammate and a more reliable developer. Whether you're working with GitHub Actions, Vercel, Jenkins, or another CI/CD system, this episode will help you work smarter, troubleshoot faster, and stay calm under pressure. Show Notes: https://www.htmlallthethings.com/podcasts/what-junior-web-developers-need-to-know-about-devops Use our affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.

Dimitri Stiliadis, CTO from Endor Labs, discusses the recent tj-actions/changed-files supply chain attack, where a compromised GitHub Action exposed CI/CD secrets. We explore the impressive multi-stage attack vector and the broader often-overlooked vulnerabilities in our CI/CD pipelines, emphasizing the need to treat these build systems with production-level security rigor instead of ignoring them.   The show notes and blog post for this episode can be found at https://opensourcesecurity.io/2025/2025-04-tjactions_with_dimitri_stiliadis/

(03:59) Brought to you by Swimm.io.⁠⁠⁠⁠Start modernizing your mainframe faster with Swimm.Understand the what, why, and how of your mainframe code.Use AI to uncover critical code insights for seamless migration, refactoring, or system replacement.Stop fearing Friday and late-night deployments!Discover how the most painful part of software development—deploying to production—can become routine, safe, and even boring.In this episode, I sit down with Valentina Servile (ThoughtWorks lead developer and author of “Continuous Deployment”) to discuss the principles, practices, and mindset shift required to achieve true Continuous Deployment.Key topics discussed:The key differences between Continuous Integration, Continuous Delivery, and Continuous DeploymentWhy “if it hurts, do it more often” is the secret to safer, faster releasesApplying Lean principles like one-piece flow and reducing batch size for higher quality and speedThe importance of removing the final manual deployment gate and automating everythingEssential minimum practices: robust automated testing, feature flags, static analysis, and zero-downtime deploymentsSeparating deployment from release with feature flags and expand/contract patternsOvercoming challenges in regulated industries, technical hurdles, and third-party integrationsThe critical mindset shift: treating production as a first-class citizen and embracing “shift left” for quality and securityCautions and advice on using AI tools in a continuous deployment workflowTune in to level up your software delivery and learn how to make deployments so routine that you'll never dread another release.  Timestamps:(02:00) Career Turning Points(06:05) Tips for Juniors Starting Their Careers(08:00) Continuous Deployment Book(10:16) Definitions of CI, CD, Continuous Deployment(15:42) If It Hurts, Do It More Often(19:18) Why Remove The Final Manual Gate to Production(24:56) Common Challenges in Adopting Continuous Deployment(30:02) Minimum Practices for Continuous Deployment(35:17) Hiding Work-in-Progress(38:46) The Difference Between Deployment vs Release(41:40) Slicing the Work(45:10) Coordinating Changes Between Systems & Third Parties(47:58) The Importance of Backward Compatibility(50:05) The Required Mindset Shift(53:16) AI Caution in Continuous Deployment(55:35) 3 Tech Lead Wisdom_____Valentina Servile's BioValentina Servile is a full-stack software craftswoman and Lead Software Developer at Thoughtworks.She has worked with over a dozen companies in 5 different countries, ranging from start-up to enterprise scale. Her work has been focused on clean code, distributed systems and microservices, CI/CD practices, and evolutionary architectures in a variety of tech stacks. As a technical lead, she also coordinates delivery, and ensures a shared vision around ways of working and technical health in her cross-functional teams.Valentina is passionate about creating an engineering baseline of clean code, testing and automation as the the most fundamental enabler of Agile, Lean and DevOps principles.Follow Valentina:LinkedIn – linkedin.com/in/valentina-servileBluesky – @valentinaservile.bsky.social

KubeCon Europe 2025 in London has wrapped up, and we're bringing you all the highlights, trends, and behind-the-scenes insights straight from the show floor!In this special recap episode, I'm joined by two CNCF Ambassadors and community powerhouses: Kasper Borg Nissen, the Co-Chair of this KubeCon as well as of the KubeCon 2024 editions, and a Developer Relations Engineer at Dash0; and William Rizzo, Consulting Architect at Mirantis and Linkerd Ambassador.Together, we unpack the major themes from the event—from platform engineering and internal developer platforms, to open source observability, and where Kubernetes is headed next. We also chat about the vibe of the community, emerging projects to watch, and important trends in European tech sphere.Whether you missed the conference or want to catch up on important updates you might have missed, this episode gives you a curated take straight from the experts who know the cloud-native space inside out.The episode was live-streamed on 22 April 2025 and the video is available at https://www.youtube.com/watch?v=JyxJOmOEBvQYou can read the recap post: https://medium.com/p/740258a5fa46OpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube.We live-stream the episodes on Twitch and YouTube Live - tune in to see us live, and chime in with your comments and questions on the live chat.⁠⁠https://www.youtube.com/@openobservabilitytalks⁠  https://www.twitch.tv/openobservability⁠Show Notes:00:00 - intro03:28 - KubeCon impressions09:59 - Backstage turns 518:56 - CNCF turns 10 and CNCF annual survey27:22 - Sovereign cloud in Europe and the NeoNephos initiative33:55 - CI/CD use in production increases36:52 - OpenInfra joins the Linux Foundation40:16 - Cloud native local communities, DEI and the BIPOC initiative 51:11 - Observability query standardization SIG updates59:36 - outroResources:CNCF 2024 Annual Survey https://www.cncf.io/reports/cncf-annual-survey-2024/NeoNephos initiative for sovereign EU cloud: https://www.linkedin.com/feed/update/urn:li:share:7313115943075766273/ OpenInfra Foundation and OpenStack join The Linux Foundation: https://www.linkedin.com/feed/update/urn:li:share:7307839934072066048/ Backstage turns 5: https://www.linkedin.com/feed/update/urn:li:activity:7318163557206966272/ Kubernetes 1.33 release: https://www.linkedin.com/feed/update/urn:li:activity:7321054742174924800/Socials:Twitter:⁠ https://twitter.com/OpenObserv⁠YouTube: ⁠https://www.youtube.com/@openobservabilitytalks⁠Dotan Horovits============Twitter: @horovitsLinkedIn: www.linkedin.com/in/horovitsMastodon: @horovits@fosstodonBlueSky: @horovits.bsky.socialKasper Borg Nissen===============Twitter: https://www.twitter.com/phennexLinkedIn: https://www.linkedin.com/in/kaspernissen/BlueSky: https://bsky.app/profile/kaspernissen.xyz⁠William Rizzo===========Twitter: https://twitter.com/WilliamRizzo19LinkedIn: https://www.linkedin.com/in/william-rizzo/BlueSky: https://bsky.app/profile/williamrizzo.bsky.social

In this awesome installment, host Joe Colantonio sits down with Mark Meier and Tom Miseur from Grafana Labs to dive deep into the world of performance testing and how their brand new open source Grafana k6 Studio is making these powerful practices accessible for everyone on your team—from developers to QA and SREs. Try out Insight Hub free for 14 days now: https://testguild.me/insighthub. No credit card required. Listen in as they discuss the evolution of k6 from a developer-first tool to one built for seamless collaboration across teams, the challenges of performance testing in modern DevOps pipelines, and practical advice for avoiding common pitfalls like the dreaded million virtual user myth. You'll also get an insider's look at how k6 Studio simplifies recording, scripting, and correlating test scenarios and how it compares to longtime industry players like JMeter. Discover the team's vision for the future, including enhanced browser testing features, integration with Grafana Cloud, and thoughts on leveraging AI to accelerate performance testing efforts. If you're ready to learn actionable strategies for making performance testing a team sport (not just a developer or QA silo) and want to hear tips on integrating load testing into your CI/CD pipelines, this episode is a must-listen! Check Out Grafana k6 Studio: https://grafana.com/docs/k6/latest/k6-studio/ Watch k6 Studio demo:  https://testguild.me/dzebxa

Secrets end up everywhere, from dev systems to CI/CD pipelines to services, certificates, and cloud environments. Vlad Matsiiako shares some of the tactics that make managing secrets more secure as we discuss the distinctions between secure architectures, good policies, and developer friendly tools. We've thankfully moved on from forced 90-day user password rotations, but that doesn't mean there isn't a place for rotating secrets. It means that the tooling and processes for ephemeral secrets should be based on secure, efficient mechanisms rather than putting all the burden on users. And it also means that managing secrets shouldn't become an unmanaged risk with new attack surfaces or new points of failure. Segment Resources: https://infisical.com/blog/solving-secret-zero-problem https://infisical.com/blog/gitops-secrets-management Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-327

Secrets end up everywhere, from dev systems to CI/CD pipelines to services, certificates, and cloud environments. Vlad Matsiiako shares some of the tactics that make managing secrets more secure as we discuss the distinctions between secure architectures, good policies, and developer friendly tools. We've thankfully moved on from forced 90-day user password rotations, but that doesn't mean there isn't a place for rotating secrets. It means that the tooling and processes for ephemeral secrets should be based on secure, efficient mechanisms rather than putting all the burden on users. And it also means that managing secrets shouldn't become an unmanaged risk with new attack surfaces or new points of failure. Segment Resources: https://infisical.com/blog/solving-secret-zero-problem https://infisical.com/blog/gitops-secrets-management Show Notes: https://securityweekly.com/asw-327

Secrets end up everywhere, from dev systems to CI/CD pipelines to services, certificates, and cloud environments. Vlad Matsiiako shares some of the tactics that make managing secrets more secure as we discuss the distinctions between secure architectures, good policies, and developer friendly tools. We've thankfully moved on from forced 90-day user password rotations, but that doesn't mean there isn't a place for rotating secrets. It means that the tooling and processes for ephemeral secrets should be based on secure, efficient mechanisms rather than putting all the burden on users. And it also means that managing secrets shouldn't become an unmanaged risk with new attack surfaces or new points of failure. Segment Resources: https://infisical.com/blog/solving-secret-zero-problem https://infisical.com/blog/gitops-secrets-management Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-327

Docker launched "Docker Model Runner" to run LLMs through llama.cpp with a single "docker model" command. In this episode Bret details examples and some useful use cases for using this way to run LLMs. He breaks down the internals. How it works, when you should use it or not use it; and, how to get started using Open WebUI for a private ChatGPT-like experience.★Topics★Model Runner DocsHub ModelsOCI ArtifactsOpen WebUIMy Open WebUI Compose fileCreators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host (00:00) - Intro (00:46) - Model Runner Elevator Pitch (01:28) - Enabling Docker Model Runner (04:28) - Self Promotion! Is that an ad? For me? (05:03) - Downloading Models (07:11) - Architectrure of Model Runner (10:49) - ORAS (11:09) - What's next for Model Runner? (12:13) - Troubleshooting You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com