Podcasts about developer experience

Everyone's talking about the AI datacenter boom right now. Billion dollar deals here, hundred billion dollar deals there. Well, why do data centers matter? It turns out, AI inference (actually calling the AI and running it) is the hidden bottleneck slowing down every AI application you use (and new stuff yet to be released). In this episode, Kwasi Ankomah from SambaNova Systems explains why running AI models efficiently matters more than you think, how their revolutionary chip architecture delivers 700+ tokens per second, and why AI agents are about to make this problem 10x worse.

“Engineering leaders are stuck between the expectations put out by sensational headlines and the reality of what they're seeing in their organization. There's a big disappointment gap.”Is your AI investment paying off? Many leaders struggle to see real ROI beyond the hype.In this episode, Laura Tacho, CTO of DX, shares DX's new research on measuring AI adoption success across 38,000+ engineers. Our conversation reveals why acceptance rates are misleading metrics and introduces DX's new AI Measurement Framework™ with its three critical dimensions: utilization, impact, and cost. Learn why treating AI as an organizational problem closes the “disappointment gap” between hype and reality.Note: This episode was recorded in July 2025. The AI adoption rate mentioned has since risen to nearly 80%.In this episode, you will learn about:The “Disappointment Gap” between AI hype and realityWhy the popular “acceptance rate” metric is misleadingThe DX AI Measurement Framework™ and its three dimensionsThe top time-saving AI use case (it's not code generation!)How AI impacts long-term software quality and maintainabilityWhy organizational readiness matters for successful AI adoptionThe bigger bottlenecks beyond coding that AI has not yet solvedTreating AI agents as team extensions, not digital employeesTimestamps:(00:00:00) Trailer & Intro(00:02:32) Latest DX Research on AI Adoption(00:03:54) AI Role on Developer Experience(00:05:43) The Current AI Adoption Rate in the Industry(00:09:27) The Leader's Challenges Against Al Hype(00:13:22) Measuring AI Adoption ROI Using Acceptance Rate(00:17:39) The DX AI Measurement Framework™(00:23:05) AI Measurement Framework: Utility Dimension(00:27:51) DX AI Code Metrics(00:30:31) AI Measurement Framework: Impact Dimension(00:32:57) The Importance of Measuring Productivity Holistically(00:35:54) AI Measurement Framework: Cost Dimension(00:38:34) AI Second Order Impact on Software Quality and Maintainability(00:42:38) The Danger of Vibe Coding(00:46:31) Treating AI as Extensions of Teams(00:52:31) The Bigger Bottlenecks to Solve Outside of AI Adoption(00:55:47) DX Guide to AI-Assisted Engineering(01:00:38) Being Deliberate for a Successful AI Rollout(01:02:32) 3 Tech Lead Wisdom_____Laura Tacho's BioLaura Tacho is CTO at DX, a developer intelligence platform, co-author of the Core 4 developer productivity metrics framework, and an executive coach. She's an experienced technology leader and engineering leadership coach with a strong background in developer tools and distributed systems.Her career includes leadership roles at organizations such as CloudBees, Aula Education, and Nova Credit, where she specialized in building high-performing engineering teams and delivering impactful products. Laura has worked with thousands of engineering leaders as they work to improve their engineering practices with data.Follow Laura:LinkedIn – linkedin.com/in/lauratachoTwitter – x.com/rhein_weinWebsite – lauratacho.com AI Measurement Framework – getdx.com/whitepaper/ai-measurement-framework/?utm_source=techleadjournal Guide to AI-Assisted Engineering – getdx.com/guide/ai-assisted-engineering/?utm_source=techleadjournalAI code metrics – getdx.com/ai-code-metricsLike this episode?Show notes & transcript: techleadjournal.dev/episodes/233.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

BONUS: Nesrine Changuel shares how to create product delight through emotional connection! In this BONUS episode we explore the book by Nesrine Changuel: 'Product Delight - How to make your product stand out with emotional connection.' In this conversation, we explore Nesrine's journey from research to product management, share lessons from her experiences at Google, Spotify, and Microsoft, and unpack the key strategies for building emotionally resonant products that connect with users beyond mere functionality. The Genesis of Product Delight "I quickly realized that there is something that is quite intense while building Skype... it's not just that communication tool, but it was iconic, with its blue, with ringtones, with emojis. So it was clear that it's not just for making calls, but also to make you feel connected, relaxed, and part of it." Nesrine's journey into product delight began during her transition from research to product management at Skype. Working on products at major companies like Skype, Spotify, and Google Meet, she discovered that successful products don't just function well—they create emotional connections. Her role as "Delight PM" at Google Meet during the pandemic crystallized her understanding that products must address both functional and emotional user needs to truly stand out in the market. Understanding Customer Delight in Practice "The delight is about creating two dimensions and combining these two dimensions altogether, it's about creating products that function well, but also that help with the emotional connection." Customer delight manifests when products exceed expectations and anticipate user needs. Nesrine explains that delight combines surprise and joy—creating positive surprises that go beyond basic functionality. She illustrates this with Microsoft Edge's coupon feature, which proactively suggests discounts during online shopping without users requesting it. This anticipation of needs creates memorable peak moments that strengthen emotional connections with products. Segmenting Users by Motivators "We can discover that users are using your product for different reasons. I mean, we tend to think that users are using the product for the same reason." Traditional user segmentation focuses on demographics (who users are) or behavior (what they do). Nesrine advocates for motivational segmentation—understanding why users engage with products. Using Spotify as an example, she demonstrates how users might seek music for specific songs, inspiration, nostalgia, or emotional regulation. This approach reveals both functional motivators (practical needs) and emotional motivators (feelings users want to experience), enabling teams to build features aligned with user desires rather than assumptions. In this segment, we refer to Spotify Wrapped.  The Distinction from Jobs To Be Done "There's no contrast. I mean to be honest, it's quite aligned, and I'm a big fan of the job to be done framework." While aligned with Clayton Christensen's Jobs To Be Done framework, Nesrine's approach extends beyond identifying triggers to practical implementation. She acknowledges that Jobs To Be Done provides the foundational theory, distinguishing between personal emotional motivators (how users want to feel) and social emotional motivators (how they want others to perceive them). However, many teams struggle to translate these insights into actual product features—a gap her Product Delight framework addresses through actionable methodologies. Navigating the Line Between Delight and Addiction "Building for delight is about creating products that are aligned with users' values. It's about aligning with what people really want themselves to feel. They want to feel themselves, to feel a better version of themselves." The critical distinction between delight and addiction lies in value alignment. Delightful products help users become better versions of themselves and align with their personal values. Nesrine contrasts this with addictive design that creates dependencies contrary to user wellbeing. Using Spotify Wrapped as an example, she explains how reflecting positive achievements (skills learned, personal growth) creates healthy engagement, while raw usage data (hours spent) might trigger negative self-reflection and potential addictive patterns. Getting Started with Product Delight "If you only focus on the functional motivators, you will create products that function, but they will not create that emotional connection. If you take into consideration the emotional motivators in addition to the functional motivators, you create perfect products that connect with users emotionally." Teams beginning their delight journey should start by identifying both functional and emotional user motivators through direct user conversations. The first step involves listing what users want to accomplish (functional) alongside how they want to feel (emotional). This dual understanding enables feature development that serves practical needs while creating positive emotional experiences, leading to products that users remember and recommend. Product Delight and Human-Centered Design "Making products feel as if it was done by a human being... how can you make your product feel as close as possible to a human version of the product." Nesrine positions product delight within the broader human-centered design movement, but focuses specifically on humanization at the product feature level rather than just visual design. She shares examples from Google Meet, where the team compared remote meetings to in-person experiences, and Dyson, which benchmarks vacuum cleaners against human cleaning services. This approach identifies missing human elements and guides feature development toward more natural, intuitive interactions. In this segment we refer to the books Emotional Design by Don Norman, and Design for Emotion by Aarron Walter..  AI's Role in Future Product Delight "AI is a tool, and as every tool we're using, it can be used in a good way, or could be used in a bad way. And it is extremely possible to use AI in a very good way to make your product feel more human and more empathetic and more emotionally engaging." AI presents opportunities to enhance emotional connections through empathetic interactions and personalized experiences. Nesrine cites ChatGPT's conversational style—including apologies and collaborative language—as creating companionship feelings during work. The key lies in using AI to identify and honor emotional motivators rather than exploit them, focusing on making users feel supported and understood rather than manipulated or dependent. Developer Experience as Product Delight "If the user of your products are human beings... whether business consumer engineers, they deserve their emotions to be honored, so I usually don't distinguish between B2B or B2C... I say like B2H, which is business to human." Developer experience exemplifies product delight in B2B contexts. Companies like GitHub have created metrics specifically measuring developer delight, recognizing that technical users also have emotional needs. Tools like Jira, Miro, and GitHub succeed by making users feel more competent and productive. Nesrine advocates for "B2H" (business to human) thinking, emphasizing that any product used by humans should consider emotional impact alongside functional requirements. About Nesrine Changuel Nesrine is a product coach, trainer, and author with experience at Google, Spotify, and Microsoft. Holding a PhD from Bell Labs and UCLA, she blends research and practice to guide teams in building emotionally resonant products. Based in Paris, she teaches and speaks globally on human-centered design. You can connect with Nesrine Changuel on LinkedIn.

It's been 10 years since the start of Community Pulse and, appropriately enough, we've reached the milestone of 100 episodes. To celebrate, we invited Jono Bacon -- our very first guest on the show -- and SJ Morris -- a former host of the show -- to join us and reminisce about changes in the DevRel industry as well as how we've changed personally and professionally over the last 10 years. We'll laugh a little… cry a little… and as always, learn a lot along the way. Checkouts Jason Bono * Primalbranding (https://a.co/d/0sCISVA) by Patrick Hanlon and Hooked (https://www.amazon.com/Hooked-How-Build-Habit-Forming-Products/dp/1591847788) by Nir Eyal - awesome books, very relevant * Attio (https://attio.com/) / OpusClip (https://www.opus.pro/) / Anam (https://anam.ai/) - awesome tools * Stateshift (https://www.stateshift.com/) * MobLand on Paramount+ (https://en.wikipedia.org/wiki/MobLand) SJ Morris * Developers, Reinvented (https://ashtom.github.io/developers-reinvented) * Design from the Margins (https://www.belfercenter.org/publication/design-margins) Wesley Faulkner * Kitten TTS (https://github.com/KittenML/KittenTTS) * Add Bluesky comments and likes to your blog (https://brittanyellich.com/bluesky-comments-likes/) PJ Hagerty * The AI Con (https://www.barnesandnoble.com/w/the-ai-con-emily-m-bender/1146281317?ean=9780063418561&gStoreCode=2542&gQT=2) - How to Fight Big Tech's Hype and Create the Future We Want by Emily M Bender and Alex Hanna * Tyler the Creator - Don't Tap the Glass (https://combine.fm/spotify/album/1jzv3jwZbt8lYfEtMjiD1R) Jason Hand * New After Pulse site (coming) * Anyone can Play Music (https://www.amazon.com/Anyone-Can-Play-Music-Potential/dp/0593850971) by Josh Turknett * 100 repos (and demos) * ai-tools-lab.com (https://ai-tools-lab.com/) * LLM Observability Learning Course (https://learn.datadoghq.com/courses/llm-obs-getting-started) (FREE) Mary Thengvall * Upcoming book that I had a preview of and am very excited about (coming from Apress in early 2026)! Developer Relations Activity Patterns: A Unified Approach to Devrel, DX and Community Management by Scott McAllister, David Neal, Ted Neward, and Chris Woodruff * Fun (random) things have made me smile lately: * Miniature Cheese Graters (https://amzn.to/45EJNbw) * Lapel Pins (https://amzn.to/41sYj3C) Special Guests: Jono Bacon and SJ Morris.

CEO Abi Noda is joined by DX CTO Laura Tacho to discuss the evolving role of Platform and DevProd teams in the AI era. Together, they unpack how AI is reshaping platform responsibilities, from evaluation and rollout to measurement, tool standardization, and guardrails. They explore why fundamentals like documentation and feedback loops matter more than ever for both developers and AI agents. They also share insights on reducing tool sprawl, hardening systems for higher throughput, and leveraging AI to tackle tech debt, modernize legacy code, and improve workflows across the SDLC.Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda  • Substack: ​​https://substack.com/@abinoda  Where to find Laura Tacho: • LinkedIn: https://www.linkedin.com/in/lauratacho/• X: https://x.com/rhein_wein• Website: https://lauratacho.com/• Laura's course (Measuring Engineering Performance and AI Impact): https://lauratacho.com/developer-productivity-metrics-courseIn this episode, we cover:(00:00) Intro: Why platform teams need to evolve(02:34) The challenge of defining platform teams and how AI is changing expectations(04:44) Why evaluating and rolling out AI tools is becoming a core platform responsibility(07:14) Why platform teams need solid measurement frameworks to evaluate AI tools(08:56) Why platform leaders should champion education and advocacy on measurement(11:20) How AI code stresses pipelines and why platform teams must harden systems(12:24) Why platform teams must go beyond training to standardize tools and create workflows(14:31) How platform teams control tool sprawl(16:22) Why platform teams need strong guardrails and safety checks(18:41) The importance of standardizing tools and knowledge(19:44) The opportunity for platform teams to apply AI at scale across the organization(23:40) Quick recap of the key points so far(24:33) How AI helps modernize legacy code and handle migrations(25:45) Why focusing on fundamentals benefits both developers and AI agents(27:42) Identifying SDLC bottlenecks beyond AI code generation(30:08) Techniques for optimizing legacy code bases (32:47) How AI helps tackle tech debt and large-scale code migrations(35:40) Tools across the SDLCReferenced:DX Core 4 Productivity FrameworkMeasuring AI code assistants and agentsAbi Noda's LinkedIn postMeasuring AI code assistants and agents with the AI Measurement FrameworkThe SPACE framework: A comprehensive guide to developer productivityCommon workflows - AnthropicEnterprise Tech Leadership Summit Las Vegas 2025Driving enterprise-wide AI tool adoption with Bruno PassosAccelerating Large-Scale Test Migration with LLMs | by Charles Covey-Brandt | The Airbnb Tech Blog | MediumJustin Reock - DX | LinkedInA New Tool Saved Morgan Stanley More Than 280,000 Hours This Year - Business Insider

Houleymatou Baldé affirme que « le syndrome de l'imposteur n'existe pas ».Pour elle, le doute n'est pas un bug mais un signal. Dans cet extrait, elle partage un switch mental simple et actionnable: voir clair, découper, agir. Résultat: moins de ruminations, plus de mouvement, et une progression visible au quotidien.———— INVITÉE ————Retrouvez Houleymatou sur LinkedIn : https://www.linkedin.com/in/houleymatou-balde/———— 5 ÉTOILES ————Si cet épisode vous a plu, pensez à laisser une note et un commentaire - c'est la meilleure façon de faire découvrir le podcast à d'autres personnes !Envoyez-moi une capture de cet avis (LinkedIn ou par mail à dx@donatienleon.com) et je vous enverrai une petite surprise en remerciement.

In this episode of the Crypto 101 podcast, host Bryce interviews Sreeram Kannan, founder of EigenCloud, discussing the innovative decentralized infrastructure being built for the crypto ecosystem. Sriram explains the vision behind EigenCloud, its unique features like EigenDA and Eigen compute, and how it aims to provide a verifiable and autonomous service layer for crypto builders. The conversation also touches on the evolution of Eigen, the importance of restaking, regulatory clarity, and the future of AI agents in the blockchain space. Sriram emphasizes the need for a cloud-like environment in crypto and the potential for EigenCloud to revolutionize the industry.Efani Sim Swap Protection: Get $99 Off: http://efani.com/crypto101Check out Plus500: https://plus500.comCheck out Avocado Green Mattress: https://avocadogreenmattress.comGet immediate access to my entire crypto portfolio for just $1.00 today! https://www.crypto101insider.com/cryptnation-directm6pypcy1?utm_source=Internal&utm_medium=YouTube&utm_content=Podcast&utm_term=DescriptionGet your FREE copy of "Crypto Revolution" and start making big profits from buying, selling, and trading cryptocurrency today: http://www.cryptorevolution.com/free?utm_source=Internal&utm_medium=YouTube&utm_content=Podcast&utm_term=DescriptionChapters00:00 Introduction to EigenCloud and Sriram Kannan01:06 Understanding EigenCloud's Vision and Functionality05:29 The Need for Decentralized Infrastructure in Crypto09:23 Evolution of Eigen and Shared Security Model10:53 Building a Cloud-like Environment for Crypto14:43 EigenDA and Its Role in Data Throughput16:07 EigenLayer's Unique Position in the Crypto Ecosystem18:49 Developer Experience and Programming Flexibility with EigenCompute22:29 Commercialization Efforts and Future Prospects for EigenCloud25:06 Understanding Total Value Locked (TVL) in EigenLayer26:38 Bootstrapping the Network and Earning Yield27:04 Redistribution in Ethereum Staking29:46 The Evolution of EigenLayer and DeFi Protocols30:16 Understanding Restaking and Addressing FUD33:33 Regulatory Clarity and Its Impact on Staking34:51 The Vision for the Future of Crypto41:37 Collaboration with Ethereum and Future Roadmap45:38 The Universal Utility of EigenLayerMERCH STOREhttps://cryptorevolutionmerch.com/Subscribe to YouTube for Exclusive Content:https://www.youtube.com/@crypto101podcast?sub_confirmation=1Follow us on social media for leading-edge crypto updates and trade alerts:https://twitter.com/Crypto101Podhttps://instagram.com/crypto_101Guest Linkhttps://x.com/eigenlayer*This is NOT financial, tax, or legal advice*Boardwalk Flock LLC. All Rights Reserved  ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Fog by DIZARO https://soundcloud.com/dizarofrCreative Commons — Attribution-NoDerivs 3.0 Unported — CC BY-ND 3.0 Free Download / Stream: http://bit.ly/Fog-DIZAROMusic promoted by Audio Library https://youtu.be/lAfbjt_rmE8▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Our Sponsors:* Check out Avocado Green Mattress: https://avocadogreenmattress.com* Check out Gemini Exchange: https://gemini.com/card* Check out Plus500: https://plus500.com* Check out Plus500: https://plus500.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

BONUS: Jochen Issing on Building High-Performing Engineering Teams In this BONUS episode, we explore the fascinating journey of Jochen Issing, an engineering leader who brings unique insights from his background as a handball player and band member to building exceptional software development teams. From sports courts and music stages to engineering leadership, Jochen shares practical wisdom on psychological safety, team dynamics, and creating cultures where the best ideas win. From Sports and Music to Software Leadership "As soon as you complain about each other, you are starting to lose." Jochen's unconventional background as a handball player and band member has profoundly shaped his approach to engineering leadership. Drawing from team sports, he discovered that frustration leads to losing in both athletics and technology work. Great players in great teams optimize for the team's results, not individual glory. This translates directly to software development where great engineers slow down to make the team faster, recognizing that collective success trumps individual achievement. The lesson from the handball court is clear: when team members start blaming each other, they create a losing mindset that becomes self-fulfilling. Breaking the 10X Engineer Myth "It's not your success that makes our success, it's our success that makes your success." The mythology of the 10X engineer remains pervasive in software development, but Jochen challenges this with insights from team dynamics. The "hero culture" in companies often emerges when systems are already broken, requiring someone to step in and save the day. While we celebrate these heroes, we forget to ask the crucial question: how did we end up needing a hero in the first place? True high-performing teams don't require heroic individual efforts because they've built sustainable systems and shared knowledge. The goal isn't to eliminate talented individuals but to ensure that even the most skilled engineers can take time off without the organization grinding to a halt. Creating Psychological Safety Through Vulnerability "When psychological safety is missing, I try to ask ignorant questions - expose myself as being the least experienced person in the room." Building psychological safety requires intentional strategies that go beyond good intentions. Jochen employs a counterintuitive approach: when he senses team members hesitating to speak up, he deliberately asks "ignorant" questions to position himself as the least knowledgeable person in the room. This modeling behavior demonstrates that it's safe to admit uncertainty and ask questions. He also builds a culture of "challenging ourselves" by implementing ritualized dissent - assigning someone the specific job of finding flaws in proposed solutions. This prevents the dangerous harmony that can emerge when teams agree too quickly without proper scrutiny. The Power of the Expectation Sheet "I want people to share with me what might even drive them away from the company." Trust forms the foundation of effective team relationships, but building it requires explicit frameworks. Jochen uses an "expectation sheet" (See a prototype here Google Doc)- a document that formalizes mutual expectations between him and his team members. This tool establishes that he wants open, honest communication about everything, including situations that might drive someone to leave the company. The key principle is that he will never share confidential information or use personal disclosures against team members. This creates a relationship where he serves as both a representative of the company when necessary and a personal advocate for his team members when they need support navigating organizational challenges. Team-Centric Productivity and Collaboration "The team is the unit of productivity and delivery, not the individual." Effective engineering leadership requires balancing individual desires with team outcomes. Jochen emphasizes that while people naturally want to say "I did this," the focus must remain on team impact. This involves creating shared understanding of collective goals while still addressing individual needs and growth aspirations. Practical strategies include using on-call rotations to identify knowledge silos, implementing pair programming and mob programming to reinforce collaborative work patterns, and designing tasks that allow individuals to take ownership while remaining embedded in team efforts. The analogy to band dynamics is apt - when someone brings a song idea to the band, it evolves through collaboration into something different and usually better than the original vision. Building Sustainable High Performance "Great engineers slow down to make the team faster - which is how we get better teams." Sustainable high performance emerges when senior engineers invest in lifting the entire team rather than maximizing their individual output. This means senior staff level engineers focus less on their personal contributions and more on forming "tribes" across teams, coaching junior engineers, and building organizational capability. The measure of success shifts from individual heroics to collective achievement - if problems consistently require the same person to fix them, the team hasn't truly succeeded in building sustainable systems and shared knowledge. Recommended Resources for Further Reading Jochen recommends several foundational books for understanding team dynamics and engineering leadership. "The Culture Code" by Daniel Coyle explores the structure of high-performing teams and debunks myths about command-and-control leadership. "Product Development Flow" by Reinertsen provides the scientific foundation behind agile methodologies and explains what teams are really trying to solve. "The Culture Map" by Erin Meyer offers insights on working with diverse cultures and backgrounds to bring out the best in each team member. "Coaching Agile Teams" by Lyssa Adkins serves as a practical guide for developing coaching skills in technical environments. And our very own Scrum Master Toolbox podcast provides ongoing insights and real-world experiences from practitioners in the field. About Jochen Issing Jochen is an engineering leader who's all about building great teams and better developer experiences. From audio tech and cloud platforms to monorepos and feedback culture, he's done it all. A former bandmate and handball player, Jochen brings heart, trust, and collaboration into everything he builds with his teams. You can connect with Jochen Issing on LinkedIn and connect with Jochen Issing on Twitter.

Florent n'a jamais eu peur de parier sur l'avenir. En 2008, juste après avoir décroché son CDI, il fait le pari fou de tout plaquer pour se lancer en freelance sur l'iPhone qui vient de sortir. Résultat : 5 ans de galère, mais une expertise iOS qui finit par payer.En 2023, nouveau pari audacieux : il arrête complètement le développement iOS pour se concentrer exclusivement sur le Vision Pro d'Apple. Encore une fois, tout le monde lui dit que c'est de la folie. Résultat : il développe une vingtaine d'applications, co-fonde le collectif Studio 84 et devient CTO de Clear Surgery, une app qui révolutionne les blocs opératoires.————— FLORENT MORIN —————Retrouvez Florent sur LinkedIn : https://www.linkedin.com/in/florentmorin/————— PARTIE 1/4 : PARCOURS ————— (01:02) Intro + présentation de Florent(03:08) Les débuts d'Apple et l'ouverture de l'App Store aux développeurs(04:12) Comment était le développement iOS au tout début(07:33) La transition de Linux vers Objective-C sur iPhone(13:12) Pourquoi Florent est resté fidèle à iOS pendant 15 ans(16:12) Apple comme partenaire de confiance pour les développeurs(17:27) Les débuts poussifs en freelance : 5 ans de galère(24:58) Le point d'inflexion vers la stabilité financière(30:00) Applications indie vs prestation client(35:20) L'état du marché iOS aujourd'hui face à l'IA————— PARTIE 2/4 : VISION PRO —————(44:32) Les premiers pas dans la VR/AR avec du bricolage(58:08) Pourquoi attendre le Vision Pro plutôt que Meta(59:54) Le point de bascule à la WWDC 2023(1:04:38) 6 mois de travail acharné : 16h/jour, 7j/7(1:11:54) Premier contact avec le Vision Pro : "le logiciel est dans ma tête"(1:25:28) Pourquoi tout quitter pour un pari aussi risqué(1:28:22) Clear Surgery : révolutionner la chirurgie avec la réalité augmentée(1:44:18) Le projet SNCF TGV M avec Studio 84(1:58:10) Comment développer une activité sur une techno émergente————— PARTIE 3/4 : ROLLBACK —————(2:05:25) Les associations ratées et les red flags ignorés(2:06:42) Exemples concrets de mauvais partenariats(2:08:34) Comment détecter les signaux d'alarme(2:12:30) Techniques pour se sortir des mauvaises expériences————— PARTIE 4/4 : STAND-UP —————(2:13:38) Ne pas abandonner malgré les échecs répétés(2:15:38) Les apprentissages : faire des erreurs pour grandir(2:17:02) L'introspection quotidienne et l'auto-analyse(2:18:19) Vision du futur : IA embarquée et nouvelles interfaces(2:27:14) Le conseil ultime de Florent————— RESSOURCES —————Vision Pro d'AppleXcode 16 avec intégration IAClearSurgery : application médicale en réalité augmentéeStudio 84 : collectif de développeurs AR/VRMistral AI et modèles embarquésARKit et RealityKit d'Apple————— 5 ÉTOILES —————Si cet épisode vous a plu, pensez à laisser une note et un commentaire - c'est la meilleure façon de faire découvrir le podcast à d'autres personnes !Envoyez-moi une capture de cet avis (LinkedIn ou par mail à dx@donatienleon.com) et je vous enverrai une petite surprise en remerciement.

Die „programmier.con 2025 - Web & AI Edition“ findet am 29. und 30. Oktober 2025 statt. Sichert euch jetzt Tickets für die Konferenz auf unserer Webseite!Zwei Wochen sind seit unserer letzten News-Folge vergangen und schon wieder kam es zu Supply-Chain-Angriffen über die npm-Registry. Was diese Angriffe unterscheidet und wer davon besonders betroffen scheint berichtet uns Dave. Aber die programmier.bar Crew diskutiert auch Sicherheitsmaßnahmen zur Abwehr von Supply-Chain-Angriffen.Außerdem hören wir von Jan, welche Änderungen Deno 2.5 so mit sich bringt und auf welche Quality of Life Verbesserungen sich Developer freuen dürfen. Außerdem gibt es einen kleinen Ausblick auf die Version 2.0 des Deno-Webframeworks Fresh.Dennis war schon immer Fan des Arc-Browsers und teilt in dieser Folge seine Einschätzung zu der angekündigten Übernahme der Browser Company (den Machern von Arc) durch Atlassian.Und auch, wenn wir letzte Woche noch über Crypto gescherzt hatten, gibt es diese Woche ernstgemeinte Neuigkeiten zu dem Thema von PayPal - Garrelt berichtet.Ihr habt noch alte, ungenutzte microSD Karten zuhause? Dann spendet jetzt eure alten Karten (egal in welcher Speichergröße) an kartenretter.de und unterstützt damit freie Wissensverteilung in Afrika!Und hier noch der Link zu Apple's privater Liquid Glass CSS-Implementierung.Schreibt uns! Schickt uns eure Themenwünsche und euer Feedback: podcast@programmier.barFolgt uns! Bleibt auf dem Laufenden über zukünftige Folgen und virtuelle Meetups und beteiligt euch an Community-Diskussionen. BlueskyInstagramLinkedInMeetupYouTube

In banking, every second matters. Fraud happens in milliseconds. Customers demand instant answers. And AI can only deliver value if it's powered by live, real-time data. Yet many banks are still relying on batch reports and outdated systems, making decisions based on yesterday's insights. The shift can't wait. Forrester predicts that by 2025, half of all businesses will use AI-powered self-service as their primary customer touchpoint. That future won't be possible without real-time data at the core. Banks that leverage streaming data will transform customer experiences, manage risks more efficiently, and unlock the full potential of AI. Those who don't risk being left behind. Today, I'm joined by Guillaume Aymé, CEO of Lenses.io and a leading voice on data innovation. Together, we'll explore why real-time data is becoming the lifeblood of modern banking, the hurdles institutions must overcome, and how to build the foundation for AI-driven success. This episode of Banking Transformed is sponsored by Lenses Lenses 6.0 is a Developer Experience designed to empower organizations to modernize applications and systems with real-time data autonomy. This is particularly crucial as AI adoption accelerates, and enterprises operate hundreds of Kafka clusters across multi-cloud environments. As the industry's first multi-Kafka developer experience, Lenses 6.0 allows teams to access, govern and process streaming data across any combination of Apache Kafka-based streaming platforms, from a single interface. https://lenses.io/

In this episode, host Laura Tacho speaks with Jesse Adametz, Senior Engineering Leader on the Developer Platform at Twilio. Jesse is leading Twilio's multi-year platform consolidation, unifying tech stacks across large acquisitions and driving migrations at enterprise scale. He discusses platform adoption, the limits of Kubernetes, and how Twilio balances modernization with pragmatism. The conversation also explores treating developer experience as a product, offering “change as a service,” and Twilio's evolving approach to AI adoption and platform support.Where to find Jesse Adametz: • LinkedIn: https://www.linkedin.com/in/jesseadametz/• X: https://x.com/jesseadametz• Website: https://www.jesseadametz.com/Where to find Laura Tacho:• LinkedIn: https://www.linkedin.com/in/lauratacho/• X: https://x.com/rhein_wein• Website: https://lauratacho.com/• Laura's course (Measuring Engineering Performance and AI Impact) https://lauratacho.com/developer-productivity-metrics-courseIn this episode, we cover:(00:00) Intro(01:30) Jesse's background and how he ended up at Twilio(04:00) What SRE teaches leaders and ICs(06:06) Where Twilio started the post-acquisition integration(08:22) Why platform migrations can't follow a straight-line plan(10:05) How Twilio balances multiple strategies for migrations(12:30) The human side of change: advocacy, training, and alignment(17:46) Treating developer experience as a first-class product(21:40) What “change as a service” looks like in practice(24:57) A mandateless approach: creating voluntary adoption through value(28:50) How Twilio demonstrates value with metrics and reviews(30:41) Why Kubernetes wasn't the right fit for all Twilio workloads (36:12) How Twilio decides when to expose complexity(38:23) Lessons from Kubernetes hype and how AI demands more experimentation(44:48) Where AI fits into Twilio's platform strategy(49:45) How guilds fill needs the platform team hasn't yet met(51:17) The future of platform in centralizing knowledge and standards(54:32) How Twilio evaluates tools for fit, pricing, and reliability (57:53) Where Twilio applies AI in reliability, and where Jesse is skeptical(59:26) Laura's vibe-coded side project built on Twilio(1:01:11) How external lessons shape Twilio's approach to platform support and docsReferenced:The AI Measurement FrameworkExperianTransact-SQL - WikipediaTwilioKubernetesCopilotClaude CodeWindsurfCursorBedrock

Hoe zorg je ervoor dat jouw development team AI-coding écht omarmt? In aflevering #192 ging het over AI-coding zelf, maar nu gaan we net een stapje verder! In deze aflevering van de Product Owner Podcast spreekt Ruud met Joost, Developer Experience & Tooling Specialist bij Navara. Met zijn achtergrond als test engineer weet hij als geen ander hoe belangrijk kwaliteit, vertrouwen en adoptie zijn bij het introduceren van nieuwe tools zoals GitHub Copilot. Ze bespreken hoe je AI-coding succesvol introduceert in je organisatie, wat de valkuilen zijn, en waarom het menselijke aspect in coderen onmisbaar blijft. Ook hoor je hoe je met een hackathon op vibe coding direct waarde kunt creëren én betrokkenheid vergroot. In deze aflevering hebben we het over: ai-coding, vibe coding, adoptie, change management, github, copilot, cursor, product owners, prototypen Over deze podcast: Deze aflevering is onderdeel van de speciale reeks ‘AI in Product Development', onderdeel van de Product Owner podcast. In de Product Owner podcast spreken we elke week met een interessante gast uit de wereld van product management en gaan we in op echte ervaringen, lessen en tactieken van product owners, ondernemers en specialisten. De Product Owner podcast is een initiatief van productowner.nl

Lee Robinson helped Vercel grow to $200M+ in ARR and scaled the Next.js community to over 1.3 million active developers. I dive into his blog posts to uncover valuable insights and lessons about how he achieved this success, covering topics like docs, community building, developer education, marketing, and product development.This episode is brought to you by WorkOS. If you're thinking about selling to enterprise customers, WorkOS can help you add enterprise features like Single Sign On and audit logs.Links:   •  Lee Robinson's blog   •  Lee Robinson's X   •  Peter Yang's interview   •  swyx's interview   •  Gonto on Scaling DevTools   •  Developer Marketing CommunityP.s. this is a new style of episode, let me know what you think. 

In this episode of Engineering Enablement, host Laura Tacho talks with Bruno Passos, Product Lead for Developer Experience at Booking.com, about how the company is rolling out AI tools across a 3,000-person engineering team.Bruno shares how Booking.com set ambitious innovation goals, why cultural change mattered as much as technology, and the education practices that turned hesitant developers into daily users. He also reflects on the early barriers, from low adoption and knowledge gaps to procurement hurdles, and explains the interventions that worked, including learning paths, hackathon-style workshops, Slack communities, and centralized procurement. The result is that Booking.com now sits in the top 25 percent of companies for AI adoption.Where to find Bruno Passos:• LinkedIn: https://www.linkedin.com/in/brpassos/• X: https://x.com/brunopassosWhere to find Laura Tacho:• LinkedIn: https://www.linkedin.com/in/lauratacho/• X: https://x.com/rhein_wein• Website: https://lauratacho.com/• Laura's course (Measuring Engineering Performance and AI Impact) https://lauratacho.com/developer-productivity-metrics-courseIn this episode, we cover:(00:00) Intro(01:09) Bruno's role at Booking.com and an overview of the business (02:19) Booking.com's goals when introducing AI tooling(03:26) Why Booking.com made such an ambitious innovation ratio goal (06:46) The beginning of Booking.com's journey with AI(08:54) Why the initial adoption of Cody was low(13:17) How education and enablement fueled adoption(15:48) The importance of a top-down cultural change for AI adoption(17:38) The ongoing journey of determining the right metrics(21:44) Measuring the longer-term impact of AI (27:04) How Booking.com solved internal bottlenecks to testing new tools(32:10) Booking.com's framework for evaluating new tools(35:50) The state of adoption at Booking.com and efforts to expand AI use(37:07) What's still undetermined about AI's impact on PR/MR quality(39:48) How Booking.com is addressing lagging adoption and monitoring churn(43:24) How Booking.com's Slack community lowers friction for questions and support(44:35) Closing thoughts on what's next for Booking.com's AI planReferenced:Measuring AI code assistants and agentsDX Core 4 FrameworkBooking.comSourcegraph SearchCody | AI coding assistant from SourcegraphGreyson Junggren - DX | LinkedIn

Thomas incarne un paradoxe que tous les développeurs entrepreneurs connaissent. Il sait qu'il ne faut pas s'enfermer dans des tunnels de code et plutôt être le plus lean possible pour trouver son product market fit. Et pourtant, il n'a jamais pu s'empêcher de perfectionner techniquement ses projets.Une tension qu'il a vécue dans trois aventures entrepreneuriales en presque dix ans. Après avoir découvert le code via l'optimisation des files d'attente pour Disneyland Paris, il a tracé sa route en dehors des voies habituellement empruntées par les développeurs.————— THOMAS SERTORIO ————— Retrouvez Thomas sur LinkedIn : https://www.linkedin.com/in/thomassertorio/————— PARTIE 1/3 : PARCOURS —————(00:00) Intro + présentation de Thomas(04:07) Optimisation des files d'attente à Disneyland Paris : premier contact avec le code(10:12) Pourquoi Thomas n'a pas suivi le chemin classique après Centrale(12:30) Apprendre à progresser sans mentor : la résolution de problèmes comme moteur(15:25) Comment évaluer son niveau quand on est autodidacte(18:25) La plus grosse difficulté technique : scaler une app sans expérience(22:13) Gestion du trafic et optimisation SQL : apprentissage par la contrainte(26:34) Les mentors virtuels et l'importance des freelances expérimentés(28:18) Où Thomas se situe techniquement après toutes ces expériences(30:37) Pourquoi l'entrepreneuriat plutôt que le salariat classique(32:33) Comment Thomas a rempilé après chaque projet (35:26) Comment les opportunités se présentent quand on reste ouvert————— PARTIE 2/3 : AVENTURES ENTREPRENEURIALES —————(38:20) L'arrêt d'OpenLodge : comment décider qu'il faut s'arrêter(41:46) Le rôle du gut feeling dans les décisions entrepreneuriales(46:03) Poulpe vs OpenLodge : la différence entre créer un marché et répondre à un besoin(50:07) Relationchips : deux ans pour trouver le product market fit(53:17) Le sentiment face aux projets qui s'arrêtent(54:25) Transition vers le salariat : pourquoi maintenant(57:12) L'appréhension de rejoindre une structure après 15 ans d'entrepreneuriat(1:01:59) Les super-pouvoirs d'un parcours atypique(1:05:44) L'ego des développeurs et l'importance de l'humilité(1:10:53) L'entrepreneuriat comme motivation esthétique plutôt qu'économique————— PARTIE 3/3 : ROLLBACK + STAND-UP —————(1:18:02) ROLLBACK : Le piège du perfectionnisme technique en entrepreneuriat(1:26:43) L'inconfort de confronter son produit au marché(1:30:35) L'importance de s'associer avec des profils complémentaires(1:36:01) Comment Relationchips s'est terminé(1:40:53) STAND-UP : La veille technique en équipe plutôt qu'individuelle(1:44:17) Créer l'engagement par la préparation et la présentation(1:49:34) Just-in-time vs just-in-case learning(1:52:16) Les ressources qui ont marqué Thomas(2:01:21) Perspective sur 40 ans de carrière————— RESSOURCES —————Code par Charles PetzoldCrafting Interpreters par Robert NystromRuby Rogue (podcast en anglais)La veille technique en équipe : méthode de Thomas————— 5 ÉTOILES —————Si cet épisode vous a plu, pensez à laisser une note et un commentaire - c'est la meilleure façon de faire découvrir le podcast à d'autres personnes !Envoyez-moi une capture de cet avis (LinkedIn ou par mail à dx@donatienleon.com) et je vous enverrai une petite surprise en remerciement.

Join me as I chat with Lee Robinson, VP of Developer Experience at Cursor, as he shares practical tips for maximizing productivity with Cursor's AI coding tools. He demonstrates how to structure prompts, create custom commands, and leverage agents for everything from bug fixes to code reviews. The conversation highlights how AI tools are making software development more accessible while enabling developers to build higher quality products with less effort. Timestamps: 00:00 - Intro 01:49 - Using AI Agents in Cursor 08:21 - Custom Rules within Cursor 11:49 - BugBot and code review automation 17:19 - CLI and headless options for Cursor agents 19:29 - Tips for getting the most out of Cursor 21:09 - Examples of innovative software built with Cursor Get Your Complete Financial OS at https://dub.sh/brex-sip Key Points: • Lee demonstrates how to effectively use Cursor's AI agents for discrete coding tasks • Setting up proper linting, formatting, and testing helps agents self-correct their outputs • Custom commands and rules can be created to enhance code reviews and writing quality • Cursor offers CLI and headless options for running agents in automation workflow The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com  The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg  Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LEE ON SOCIAL X/Twitter: https://x.com/leeerob YouTube: https://www.youtube.com/@leerob Personal Website: https://leerob.com

Web development is constantly evolving, and so are the tools we use to build. In this episode, Amy and Brad chat with the organizers of Squiggle Conf about the future of web dev tooling, how conferences shape the developer experience, and why community matters just as much as code.Chapters0:00 - Intro0:34 - Meet the Guests: Squiggle Conf OrganizersSquiggle Conf1:19 - What Makes Squiggle Conf Unique3:19 - Tooling and Developer Experience3:30 - Penguins, IMAX, and the Conference Venue4:18 - Who Should Attend Squiggle Conf5:31 - How Talks Are Selected and Curated6:51 - Social and Community Aspects of the Conference12:19 - Behind the Scenes of Organizing a Conference17:46 - Lessons Learned from Running Events23:30 - The Role of Tooling in Modern Development27:21 - Browser-Based Tools and Their Impact28:51 - Shoutout to Astro and Other FrameworksAstroStarlight - Astro's template for documentation33:51 - Comparing Different Conference Experiences38:55 - Building Momentum in the Developer Community40:45 - Looking Ahead: The Future of Squiggle Conf42:02 - Final Thoughts from the Organizers43:43 - Picks and PlugsAre the Types Wrong? — a package & CLI tool by Andrew Branch from the TypeScript teamThe Harry Potter movie seriesCloudflareOne Switch - Mac Menu Bar AppRedwoodSDK

Niklas and Marco break down SAP's new clean core levels using relatable metaphors, explain the evolution from the classic extensibility model, and share practical advice for developers and architects. Learn about essential tools like the SAP Discovery Center, Guidance Framework, and ABAP Test Cockpit, and get actionable best practices for your clean core journey. Whether you're a seasoned SAP developer or just starting out, this episode offers valuable insights, real-world examples, and even a few personal recommendations to inspire your next steps.

Niklas and Marco break down SAP's new clean core levels using relatable metaphors, explain the evolution from the classic extensibility model, and share practical advice for developers and architects. Learn about essential tools like the SAP Discovery Center, Guidance Framework, and ABAP Test Cockpit, and get actionable best practices for your clean core journey. Whether you're a seasoned SAP developer or just starting out, this episode offers valuable insights, real-world examples, and even a few personal recommendations to inspire your next steps.

"Je ne sais pas faire de la veille comme on l'entend." Voilà l'aveu surprenant de Thomas, développeur senior avec 10 ans d'expérience.Newsletters abandonnées après trois semaines, watchlist YouTube qui déborde sans jamais être regardée, FOMO permanente face au centième framework JavaScript... La veille technique traditionnelle, celle qu'on nous vend comme indispensable, ne fonctionne tout simplement pas pour la plupart d'entre nous.Alors que faire ? Abandonner toute idée de veille et risquer de devenir obsolète ? Pas forcément.Thomas a développé une approche radicalement différente qui a transformé sa façon d'apprendre : la veille en équipe. Plutôt que de subir seul l'anxiété de la FOMO, il a créé un rituel hebdomadaire où chaque membre présente un sujet en profondeur. Le résultat ? Une dynamique où "un junior peut apprendre des trucs à un senior" et où la veille devient enfin productive et engageante.Dans cet extrait, Thomas partage :➡️ Pourquoi les crénaux de veille solo sont voués à l'échec (et ce n'est pas une question de volonté)➡️ Sa méthode de veille en équipe avec présentations tournantes de 20 minutes➡️ Le concept du "livre de plage" : pourquoi lire calmement en vacances plutôt que de courir après le dernier framework➡️ La différence cruciale entre "just-in-time" et "just-in-case" dans l'apprentissage technique➡️ Comment transformer la veille d'une corvée anxiogène en moment de partage et de bienveillanceSi vous en avez marre de culpabiliser sur votre pile de newsletters non lues et que vous cherchez une approche pragmatique pour rester à jour sans subir la FOMO, cet extrait va vous réconcilier avec la veille technique.Les ressources mentionnées dans l'extrait :Crafting Interpreters de Robert NystromCode de Charles PetzoldLe podcast Ruby RogueL'épisode complet avec Thomas Sertorio, où l'on explore aussi son parcours entrepreneurial et sa transition vers Doctolib après 10 ans comme son propre patron, sera disponible la semaine prochaine.Si cet épisode vous a plu, pensez à laisser une note et un commentaire - c'est la meilleure façon de faire découvrir le podcast à d'autres personnes !Envoyez-moi une capture de cet avis (LinkedIn ou par mail à dx@donatienleon.com) et je vous enverrai une petite surprise en remerciement.

This episode is sponsored by P0 Security. Visit p0.dev/idac to learn why P0 is the easiest and fastest way to implement just-in-time, short-lived, and auditable access to your entire infrastructure stack, like servers, databases, Kubernetes clusters, cloud consoles, and cloud services, for users as well as non-human identities.In this sponsor spotlight episode, Jim and Jeff are joined by Shashwat Sehgal, CEO and founder of P0 Security, to discuss the evolving challenges of privileged access management in modern, cloud-native environments. Shashwat explains how traditional PAM solutions often create friction for developers, leading to over-provisioning and security risks, and how P0 is tackling this problem with a developer-first, just in time (JIT) access model. The conversation covers the core problems with developer productivity, how P0's use of technologies like eBPF provides deep visibility and control without agents, the "Priority Zero" philosophy, and how a JIT approach simplifies audits and compliance. They also discuss the competitive landscape and what sets P0 Security apart from traditional and open-source solutions.Learn more about P0: https://www.p0.dev/idacConnect with Shashwat: https://www.linkedin.com/in/shashwatsehgal/Chapter Timestamps:00:00 - Podcast Intro00:29 - Sponsor Introduction: P0 Security01:38 - What is the problem P0 Security is trying to solve?03:52 - Defining "Just-in-Time" (JIT) Access06:21 - The challenge with traditional PAM for developers08:23 - How P0 provides access without agents using eBPF12:15 - What does the user experience look like?15:58 - Supporting various infrastructure and access protocols19:15 - How does P0 handle session recording and auditing?22:20 - Is this a replacement for Privileged Access Management (PAM)?26:40 - The story behind the name P0 Security29:20 - Who is the ideal customer for P0?33:15 - Handling break-glass scenarios36:04 - Discussing the competitive landscape42:30 - How is P0 deployed? (Cloud vs. On-prem)46:50 - The future of P0 and the "Priority Zero" philosophy50:32 - Final thoughts: "Access is our priority zero."Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.comKeywords:P0 Security, Shashwat Sagal, Privileged Access Management, PAM, Just-in-Time Access, JIT, Developer Security, Cloud-Native Security, Hybrid Cloud, eBPF, Kubernetes, IAM, Identity and Access Management, Cybersecurity, Zero Trust, Ephemeral Access, Developer Experience, IDAC, Identity at the Center, Jeff Steadman, Jim McDonald

In this episode of Engineering Enablement, DX CTO Laura Tacho and CEO Abi Noda break down how to measure developer productivity in the age of AI using DX's AI Measurement Framework. Drawing on research with industry leaders, vendors, and hundreds of organizations, they explain how to move beyond vendor hype and headlines to make data-driven decisions about AI adoption.They cover why some fundamentals of productivity measurement remain constant, the pitfalls of over-relying on flawed metrics like acceptance rate, and how to track AI's real impact across utilization, quality, and cost. The conversation also explores measuring agentic workflows, expanding the definition of “developer” to include new AI-enabled contributors, and avoiding second-order effects like technical debt and slowed PR throughput.Whether you're rolling out AI coding tools, experimenting with autonomous agents, or just trying to separate signal from noise, this episode offers a practical roadmap for understanding AI's role in your organization—and ensuring it delivers sustainable, long-term gains.Where to find Laura Tacho:• X: https://x.com/rhein_wein• LinkedIn: https://www.linkedin.com/in/lauratacho/• Website: https://lauratacho.com/Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda • Substack: ​​https://substack.com/@abinoda In this episode, we cover:(00:00) Intro(01:26) The challenge of measuring developer productivity in the AI age(04:17) Measuring productivity in the AI era — what stays the same and what changes(07:25) How to use DX's AI Measurement Framework (13:10) Measuring AI's true impact from adoption rates to long-term quality and maintainability(16:31) Why acceptance rate is flawed — and DX's approach to tracking AI-authored code(18:25) Three ways to gather measurement data(21:55) How Google measures time savings and why self-reported data is misleading(24:25) How to measure agentic workflows and a case for expanding the definition of developer(28:50) A case for not overemphasizing AI's role(30:31) Measuring second-order effects (32:26) Audience Q&A: applying metrics in practice(36:45) Wrap up: best practices for rollout and communication Referenced:DX Core 4 Productivity FrameworkMeasuring AI code assistants and agentsAI is making Google engineers 10% more productive, says Sundar Pichai - Business Insider

In this episode, Jason, Wesley, and Mary share some of our favorite tools of the trade—from live streaming setups and demo-building tricks to the software and hardware we rely on for recording videos and tracking metrics. Join us for a practical, behind-the-scenes look at the gear and workflows that help us connect with developers and communities every day. Categories Building & Managing Websites Hugo (https://gohugo.io/) Astro (https://astro.build/) Form Bricks (https://formbricks.com/) Local Recall (https://github.com/mudler/LocalRecall) SquareSpace (https://www.squarespace.com/) Eleventy (https://www.11ty.dev/) Data, metrics, and knowledge sharing Airtable (https://airtable.com/) Common Room (https://www.commonroom.io/) Metabase (https://www.metabase.com/) Scheduling meetings Cal.com (https://cal.com/) Fantastical (https://flexibits.com/fantastical) LiveStreaming & video recording and editing Streamyard (https://streamyard.com/) Riverside.fm (http://riverside.fm/) OBS (https://obsproject.com/) OpenShot (https://www.openshot.org/) Audacity (https://www.audacityteam.org/) VLC (https://www.videolan.org/vlc/) Descript (https://www.descript.com/) Otter Meeting Agent - AI Notetaker, Transcription, Insights (http://otter.ai/) Automation tools n8n (https://n8n.io/) Zapier (https://zapier.com/) IFTTT (https://ifttt.com/) Forums Slack (https://slack.com/) Discourse (https://www.discourse.org/) Podcast hosting Fireside (https://fireside.fm/) Building demos Claude Code (https://chat.chatbot.app/claude?utm_source=GoogleAds&utm_medium=cpc&utm_campaign={campaign}&utm_id=22665042439&utm_term=180325682866&utm_content=767386553008&gad_source=1&gad_campaignid=22665042439&gbraid=0AAAAA_a6ETtwr7jtRKa-4KqypAZlQydKF&gclid=CjwKCAjw49vEBhAVEiwADnMbbDl9w_QW525TCw1W56_NGJOqgGOZDKJopNiYSH_pc_yRGVDpUoZ1CxoCL1UQAvD_BwE) Lovable (https://lovable.dev/?via=promo80&via=promo80&gad_source=1) Cursor (https://cursor.com/en) LocalAI (https://localai.io/) Enjoy the podcast? Please take a few moments to leave us a review on iTunes (https://itunes.apple.com/us/podcast/community-pulse/id1218368182?mt=2) and follow us on Spotify (https://open.spotify.com/show/3I7g5W9fMSgpWu38zZMjet?si=eb528c7de12b4d7a&nd=1&dlsi=b0c85248dabc48ce), or leave a review on one of the other many podcasting sites that we're on! Your support means a lot to us and helps us continue to produce episodes every month. Like all things Community, this too takes a village. Photo by Todd Quackenbush on Unsplash.

In this special episode of the Engineering Enablement podcast, recorded live at LeadDev London, DX CTO Laura Tacho explores the growing gap between AI headlines and the reality inside engineering teams—and what leaders can do to close it.Laura shares data from nearly 39,000 developers across 184 companies, highlights the Core 4 and introduces the AI Measurement Framework, and offers a practical playbook for using data to improve developer experience, measure AI's true impact, and build better software without compromising long-term performance.Where to find Laura Tacho:• X: https://x.com/rhein_wein• LinkedIn: https://www.linkedin.com/in/lauratacho/• Website: https://lauratacho.com/In this episode, we cover:(00:00) Intro: Laura's keynote from LDX3(01:44) The problem with asking how much faster can we go with AI?(03:02) How the disappointment gap creates barriers to AI adoption(06:20) What AI adoption looks like at top-performing organizations(07:53) What leaders must do to turn AI into meaningful impact(10:50) Why building better software with AI still depends on fundamentals(12:03) An overview of the DX Core 4 Framework(13:22) Why developer experience is the biggest performance lever(15:12) How Block used Core 4 and DXI to identify 500,000 hours in time savings(16:08) How to get started with Core 4(17:32) Measuring AI with the AI Measurement Framework(21:45) Final takeaways and how to get started with confidenceReferenced:LDX3 by LeadDev | The Festival of Software Engineering Leadership | LondonSoftware engineering with LLMs in 2025: reality checkSPACE framework, PRs per engineer, AI researchThe AI adoption playbook: Lessons from Microsoft's internal strategyDX Core 4 Productivity FrameworkNicole ForsgrenMargaret-Anne StoreyDropbox.comEtsyPfizerDrew Houston - Dropbox | LinkedInBlockCursorDora.devSourcegraphBooking.com

In this episode of PodRocket, Daniel Roe, lead dev over at NuxtLabs, joins Paul to discuss the big news: NuxtLabs is joining Vercel. They dive into what this partnership means for Nuxt, the independence of the open-source framework, and how products like Nuxt UI Pro, Nuxt Studio, and Nuxt Hub are evolving. Daniel also shares insights on zero-config deployments, maintaining choice for developers, and the philosophy behind keeping Nuxt open and flexible. Links Website: https://roe.dev LinkedIn: https://www.linkedin.com/in/daniel-roe Github: https://github.com/danielroe Bluesky: https://bsky.app/profile/danielroe.dev Mastodon: https://mastodon.roe.dev/@daniel Twitch: https://www.twitch.tv/danielroe YouTube: https://www.youtube.com/@danielroe Resources Announcement Post: https://vercel.com/blog/nuxtlabs-joins-vercel Nuxt Labs: https://nuxtlabs.com We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Daniel Roe.

How does someone with a non-traditional background end up leading Developer Relations for a tech giant like Slack? In this episode, host Jack McCurdy dives deep into the incredible story of Kurt Kemple.Kurt pulls back the curtain on his journey and shares the hard-won lessons that shaped his philosophy on community, collaboration, and creating meaningful tech. He reveals the critical importance of developer enablement and challenges a "build it and they will come" mentality.Get ready for a powerful conversation about the human side of DevOps. You'll hear Kurt's take on the future of community, the one framework that clarifies every project, and why building relationships is the ultimate key to shared success.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 Kurt Kemple and Slack02:56 Kurt's Journey into Tech and Developer Relations05:34 The Importance of Tech Enablement08:42 Building a Career in Tech11:35 The Role of Community in Tech14:16 Job to Be Done Framework and Its Impact17:25 The Future of Community and Connection19:57 Reflections on Personal Communities and Growth24:53 The Power of Community in Professional Growth26:40 Aligning Business with User Needs28:23 Building Internal Communities30:08 Overcoming Resistance in Internal Teams31:41 The Importance of User Feedback33:51 Empathy in Community Building35:40 The Flywheel Effect in Developer Relations37:36 Collaborative Language and Shared Ownership39:44 The Role of Developer Relations41:54 Education and Enablement through Community43:13 Leveraging Slack for Effective Collaboration47:02 The Future of Slack and Developer Experience

In this episode of the Engineering Enablement podcast, host Abi Noda is joined by Quentin Anthony, Head of Model Training at Zyphra and a contributor at EleutherAI. Quentin participated in METR's recent study on AI coding tools, which revealed that developers often slowed down when using AI—despite feeling more productive. He and Abi unpack the unexpected results of the study, which tasks AI tools actually help with, and how engineering teams can adopt them more effectively by focusing on task-level fit and developing better digital hygiene.Where to find Quentin Anthony: • LinkedIn: https://www.linkedin.com/in/quentin-anthony/• X: https://x.com/QuentinAnthon15Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover:(00:00) Intro(01:32) A brief overview of Quentin's background and current work(02:05) An explanation of METR and the study Quentin participated in (11:02) Surprising results of the METR study (12:47) Quentin's takeaways from the study's results (16:30) How developers can avoid bloated code bases through self-reflection(19:31) Signs that you're not making progress with a model (21:25) What is “context rot”?(23:04) Advice for combating context rot(25:34) How to make the most of your idle time as a developer(28:13) Developer hygiene: the case for selectively using AI tools(33:28) How to interact effectively with new models(35:28) Why organizations should focus on tasks that AI handles well(38:01) Where AI fits in the software development lifecycle(39:40) How to approach testing with models(40:31) What makes models different (42:05) Quentin's thoughts on agents Referenced:DX Core 4 Productivity FrameworkZyphraEleutherAIMETRCursorClaudeLibreChatGoogle GeminiIntroducing OpenAI o3 and o4-miniMETR's study on how AI affects developer productivityQuentin Anthony on X: "I was one of the 16 devs in this study."Context rot from Hacker NewsTracing the thoughts of a large language modelKimiGrok 4 | xAI

TypeScript might feel slow, but is it really? In this episode, Mike Hartington DevRel at Nx joins us fresh off his React Miami talk to unpack what actually causes TypeScript slowdowns in large monorepos, and how techniques like project references, workspaces, and precompiled DTS files can supercharge your dev experience. We also dig into the upcoming Go-based TypeScript compiler and how it could deliver 10x+ performance gains. Links Website: https://mhartington.io X: https://x.com/mhartington Github: https://github.com/mhartington Bluesky: https://bsky.app/profile/mhartington.io LinkedIn: https://www.linkedin.com/in/mhartington Resources React Miami Talk: https://www.youtube.com/watch?v=QI3JBQl7SPM We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Mike Hartington.

Cette semaine, tu vas faire la connaissance de Romain Huet, un Français à la trajectoire pas commune : ex-fondateur de startup devenu un pilier de la tech américaine chez Twitter, Stripe et désormais OpenAI. Il dirige - depuis San Francisco - la Developer Experience de la maison mère de ChatGPT. Avec lui et en exclu pour toi, on va revenir sur les coulisses des modèles d'IA, la révolution agentique, la plateforme développeur d'OpenAI, et les ambitions folles de cette startup valorisée 300 milliards avec ses 500 millions d'utilisateurs actifs chaque semaine. Je suis Seb Couasnon, tu aimes ce RDV ? Mets-moi 5 étoiles et laisse moi un commentaire, une remarque, une idée d'invité, tu me contactes sur LinkedIn ou X, je te réponds, d'avance merci, bon épisode !Et bel été si t'es en vacances ou t'apprêtes à souffler un peu ⛱️Distribué par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

In this episode, Abi Noda talks with Frank Fodera, Director of Engineering for Developer Experience at CarGurus. Frank shares the story behind CarGurus' transition from a monolithic architecture to microservices, and how that journey led to the creation of their internal developer portal, Showroom. He outlines the five pillars of the IDP, how it integrates with infrastructure, and why they chose to build rather than buy. The conversation also explores how CarGurus is approaching AI tool adoption across the engineering team, from experiments and metrics to culture change and leadership buy-in.Where to find Frank Fodera : • LinkedIn: https://www.linkedin.com/in/frankfodera/Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover:(00:00) Intro: IDPs (Internal Developer Portals) and AI (02:07) The IDP journey at CarGurus(05:53) A breakdown of the people responsible for building the IDP(07:05) The five pillars of the Showroom IDP(09:12) How DevX worked with infrastructure(11:13) The business impact of Showroom(13:57) The transition from monolith to microservices and struggles along the way(15:54) The benefits of building a custom IDP(19:10) How CarGurus drives AI coding tool adoption (28:48) Getting started with an AI initiative(31:50) Metrics to track (34:06) Tips for driving AI adoptionReferenced:DX Core 4 Productivity Framework Internal Developer Portals: Use Cases and Key ComponentsStrangler Fig Pattern - Azure Architecture Center | Microsoft LearnSpotify for BackstageThe AI adoption playbook: Lessons from Microsoft's internal strategy

C'est la startup la mieux valorisée au mode ! 300 mds de dollars, voilà ce que vaut la maison-mère de ChatGPT en cet été 2025

Vue developer Alex Riviere joins Amy to explore the fundamental differences between Vue and React, diving deep into Vue's unique approach to reactivity, templating, and developer experience. From the magic of V-Model eliminating controlled/uncontrolled input complexity to Vue's proxy-based reactivity system that "just works," Alex explains why Vue's mental model clicked for him coming from jQuery. The conversation covers Vue 3's Composition API and Script Setup syntax, the evolution from VueX to Pinia for state management, and exciting developments like Vue Vapor Mode that will eliminate the virtual DOM entirely. Alex also breaks down Evan You's recent $4.6M VoidZero funding to revolutionize JavaScript build tooling, the flexibility of Nuxt as a meta-framework, and why Vue remains approachable enough to sprinkle into any project without complex build steps. Show Notes00:00 - Intro01:10 - How Alex Got Started with Vue03:00 - Vue vs React Mental Models08:00 - Vue's Approach to Forms and V-Model10:20 - Vue Frameworks: Nuxt and the Ecosystem17:00 - Vue 2 to Vue 3 Migration Challenges19:00 - Nuxt as a Dev Dependency vs Runtime22:30 - When Do You Need a Framework with Vue?25:30 - Laravel Integration and Alpine.js Connection27:40 - Vue's Reactivity System and Proxies29:40 - State Management: VueX to Pinia Evolution32:20 - SSR and Server Components in Vue34:10 - Hosting and Deployment Options35:40 - Evan You's VoidZero Funding and Vision43:10 - Vue Vapor Mode: Eliminating Virtual DOM47:40 - Getting Started with Vue Resources48:40 - Picks and Plugs Links and ResourcesPeople MentionedAlex Riviere - @alexriviereEvan You - Vue.js creator - @youyuxiBen Hong - Vue core team member - @bencodezenDaniel Roe - Nuxt team - @danielcroeTaylor Otwell - Laravel creator - @taylorotwellVue.js ResourcesVue.js Official Site - vuejs.orgVue.js Documentation - vuejs.org/guideVue School - vueschool.ioVue Mastery - vuemastery.comFrameworks & Tools MentionedNuxt - nuxt.comVite - vitejs.devAstro - astro.buildPinia (Vue state management) - pinia.vuejs.orgVueX (legacy state management) - vuex.vuejs.orgAlpine.js - alpinejs.devLaravel - laravel.comLivewire - livewire.laravel.comSolid.js - solidjs.comReact - react.devSvelte - svelte.devBuild Tools & InfrastructureESBuild - esbuild.github.ioRollup - rollupjs.orgNitroPack - nitro.unjs.ioWebpack - webpack.js.orgVoidZero (Evan You's new company) - voidzero.devHosting PlatformsNetlify - netlify.comVercel - vercel.comCloudflare - cloudflare.comReact Ecosystem (for comparison)Next.js - nextjs.orgRemix - remix.runRedwoodJS - redwoodjs.comGatsby - gatsbyjs.comPodcasts & ContentDeja Vue Podcast - dejavue.fm (mentioned Evan You VoidZero interview)Vue.js Conferences - VueConf eventsTechnical Concepts to ResearchVue Composition API - vuejs.org/guide/extras/composition-api-faq.htmlVue Script Setup - vuejs.org/api/sfc-script-setup.htmlVue Directives - vuejs.org/guide/essentials/template-syntax.html#directivesVue Reactivity - vuejs.org/guide/extras/reactivity-in-depth.htmlVue Vapor Mode (experimental) - github.com/vuejs/core-vaporJavaScript Proxies - MDN Proxy DocumentationSignals (reactive programming) - General concept in modern frameworksPicks & PlugsDropout TV - Nobody Asked - dropout.tvCodeMash Conference - codemash.orgWhoosh Screen Cleaner - https://amzn.to/4nBR5UtAdditional Helpful ResourcesVue 2 to Vue 3 Migration Guide - v3-migration.vuejs.orgVue vs React Comparison - vuejs.org/guide/extras/composition-api-faq.html#comparison-with-react-hooksIslands Architecture - jasonformat.com/islands-architecture

In this episode, Matt and Mike dive into developer experience (DX) — what it is, why it matters, and how improving it can make you a better developer. They share personal stories of frustrating build processes, game-changing tools, and scripting away pain points. Whether it's speeding up deployments, eliminating unnecessary rebuilds, or embracing platforms like Vercel and PlanetScale, there's never been a better time to take your DX into your own hands. Show Notes: https://www.htmlallthethings.com/podcasts/why-developer-experience-matters Use our affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.

Developer experience is one of the areas where AI applications are showing significant return on investment, but there are significant hurdles to overcome in both changing established development patterns, as well as integrating AI tooling. Analyst Jean Atelsek and AWS vice president for developer experience Deepak Singh join host Eric Hanselman to explore the current state of AI code assistance and look at where it's headed. Auto-complete, where the next bit of a line of code is filled in for a programmer, has been evolving over a number of years, but the arrival of agents to augment code generation and task automation is being to revolutionize software development. Changing development patterns is hard, but the benefits offer strong incentives to change habits. Where early uses had AI engines generate smaller code snippets that developers integrated, that's changing to having AI tackle full functions that are then reviewed and corrected. Tooling around AI implementations are tailoring they way in which they interact with individual developers, enhancing their experience. Application modernization is an area where AI can shine, as it can assess a massive codebase whose authors are no longer available and provide not only documentation, but also prioritize recoding efforts. It's a task where the hours required for manual assessment can be daunting and error prone. Leveraging AI code generation securely requires that organizations have sufficiently secure development pipelines. Mitigating risks from confabulation and errors in AI generated code is the same process as ought to be in place for human coders, an area where some less mature organizations may have some catching up to do. More S&P Global Content: The 2025 Generative AI Outlook For S&P Global subscribers: Can generative AI modernize legacy code bases? It depends Tech Trend in Focus: Generative AI in programming Generative AI Market Monitor & Forecast Credits: Host/Author: Eric Hanselman Guests: Jean Atelsek, Deepak Singh Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

In this episode of Talking Drupal, we dive into the world of Drupal user groups and meetups with guests Lee Walker, Bernardo Martinez, and Bo Shipley. Our guests share their experiences in organizing and participating in Drupal communities and the vital role these meetups play in fostering continuous learning and professional development. We also explore the newest features of Drupal Core 11.2 in the Module of the Week. For show notes visit: https://www.talkingDrupal.com/508 Topics Meet the Guests: Lee, Bo, and Bernardo Module of the Week: Drupal Core 11.2 Diving into Drupal User Groups and Meetups Personal Journeys into Drupal User Groups The Role of Meetup.com in Drupal Communities Organizing and Attending Meetups vs. Conferences Challenges and Strategies for Growing Meetups Virtual and Hybrid Meetups: Impact on Attendance Success Tips for Organizing Meetups Keeping Meetups Simple and Engaging Preventing Organizer Burnout Challenges and Changes in Meetup Cadence Finding and Retaining Meetup Members Communication Tools for Meetup Groups The Importance of In-Person Meetups Advice for Starting or Restarting Meetups Conclusion and Contact Information Resources Drupal.org Events The Drop Times Events Meetup.com Drupal Chattanooga Drupal Users Group Chattanooga Drupal Camp Guests Lee Walker - www.codejourneymen.com mr_scumbag Bo Shipley - simplyshipley Bernardo Martinez - linkedin bernardm28 Hosts Stephen Cross - stephencross John Picozzi - epam.com johnpicozzi JD Leonard - modernbizconsulting.com jdleonard Module of the Week with Martin Anderson-Clutz - mandclu.com mandclu Drupal Core 11.2 Single Directory Components (SDCs) have been a focus of excitement for Drupal's front end developers since they were added to Drupal 10.1 as an experimental module, and merged into 10.3 as a stable feature. With Drupal 11.2, SDCs now have a concept of variants, to allow for different ways of presenting a component's information. Some component frameworks like Storybook have a somewhat different concept of variants, which is really a set of property value presets that are useful for testing. Variants with Drupal SDCs strike me as being analogous to view modes for content types, in that you can have separate template files for each variant, or you can have conditional logic within a single template based on the variant in use. Our own nicxvan, chx, and some others put some significant work into allowing preprocess hooks to be defined as OOP classes, which bring us a significant step closer to not needing .module files anymore. Hooks (and .module files) are Drupalisms, so removing the need for them is a big improvement for Developer Experience, and makes it easier for developers to get started with Drupal In Drupal 11.2 the module installer has been updated to only rebuild the container after several modules have been installed, which significantly speeds up installing multiple modules at once. Drupal 11.2 also brings us a Recipe Unpack composer extension, so when you composer require a recipe, the dependencies get automatically added to your site's composer.json file, so you can apply and then remove the recipe and still have a fully functional site Package Manager is now a hidden module in Drupal core, which is critical for initiative like Automatic Updates and Project Browser, that the community has been working on for years Drupal core now also supports the next-generation AVIF format, with WEBP as a fallback with servers that don't support generating them Of course there are also a variety of dependency updates as well, for CKEDitor, Symfony, composer and more, as well as too many minor improvements and bugfixes to cover in detail here

In this episode, Abi Noda speaks with Gilad Turbahn, Head of Developer Productivity, and Amy Yuan, Director of Engineering at Snowflake, about how their team builds and sustains operational excellence. They break down the practices and principles that guide their work—from creating two-way communication channels to treating engineers as customers. The conversation explores how Snowflake fosters trust, uses feedback loops to shape priorities, and maintains alignment through thoughtful planning. You'll also hear how they engage with teams across the org, convert detractors, and use Customer Advisory Boards to bring voices from across the company into the decision-making process.Where to find Amy Yuan: • LinkedIn: https://www.linkedin.com/in/amy-yuan-a8ba783/Where to find Gilad Turbahn:• LinkedIn: https://www.linkedin.com/in/giladturbahn/Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover:(00:00) Intro: an overview of operational excellence(04:13) Obstacles to executing with operational excellence(05:51) An overview of the Snowflake playbook for operational excellence(08:25) Who does the work of reaching out to customers(09:06) The importance of customer engagement(10:19) How Snowflake does customer engagement (14:13) The types of feedback received and the two camps (supporters and detractors)(16:55) How to influence detractors and how detractors actually help (18:27) Using insiders as messengers(22:48) An overview of Snowflake's customer advisory board(26:10) The importance of meeting in person (learnings from Warsaw and Berlin office visits)(28:08) Managing up(30:07) How planning is done at Snowflake(36:25) Setting targets for OKRs, and Snowflake's philosophy on metrics (39:22) The annual plan and how it's shared Referenced:CTO buy-in, measuring sentiment, and customer focusSnowflakeBenoit Dageville - Snowflake Computing | LinkedInThierry Cruanes - Snowflake Computing | LinkedIn

The Creator of FastAPI's Next Chapter // MLOps Podcast #322 with Sebastián Ramírez, Developer at FastAPI Labs.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractThe creator of FastAPI is back with a new chapter—FastAPI Cloud. From building one of the most loved dev tools to launching a company, Sebastián Ramírez shares how open source, developer experience, and a dash of humor are shaping the future of APIs.// BioSebastián Ramírez (also known as Tiangolo) is the creator of FastAPI, Typer, SQLModel, Asyncer, and several other widely used open source tools.He has collaborated with companies and teams around the world—from Latin America to the Middle East, Europe, and the United States—building a range of products and custom solutions focused on APIs, data processing, distributed systems, and machine learning. Today, he works full time on FastAPI and its growing ecosystem.// Related LinksWebsite: https://tiangolo.com/FastAPI: https://fastapi.tiangolo.com/FastAPI Cloud: https://fastapicloud.com/FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96 - https://youtu.be/NpvRhZnkEFg~~~~~~~~ ✌️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 Tiangolo on LinkedIn: /tiangoloTimestamps:[00:00] Sebastián's preferred coffee[00:15] Takeaways[01:43] Why Pydantic is Awesome[06:47] ML Background and FastAPI[10:44] NASA FastAPI Emojis[15:21] FastAPI Cloud Journey[26:07] FastAPI Cloud Open-Source Balance[31:45] Basecamp Design Philosophy[35:30] AI Abstraction Strategies[42:56] Engineering vs Developer Experience[51:40] Dogfooding and Docs Strategy[59:44] Code Simplicity and Trust[1:04:26] Scaling Without Losing Vision[1:08:20] FastAPI Cloud Signup[1:09:23] Wrap up

Ryan Carniato, creator of SolidJS, joins the podcast to reflect on a decade of developing the framework. We dive into the evolution of frontend tooling, the rise of fine-grained reactivity, and why SolidJS continues to challenge virtual DOM conventions. Ryan also shares insights on open source maintenance, web standards, and the future of UI architecture. Links YouTube: https://www.youtube.com/@ryansolid X: https://x.com/ryancarniato Dev.to: https://dev.to/ryansolid SolidJS Website: https://www.solidjs.com Resources A Decade of SolidJS: https://dev.to/this-is-learning/a-decade-of-solidjs-32f4 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Ryan Carniato.

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.

Sometimes work stretches beyond “normal” hours, and while we might welcome that when we're energized by the project, other times it's a real struggle. In this episode, Jason, PJ, and Mary unpack the difference between working late because we love the job versus doing it just to meet a deadline. They also explore how to recognize when those long hours are a sign of a toxic environment or poor prioritization—and what we can do to push back. Photo by Mohammad Alizade on Unsplash. Enjoy the podcast? Please take a few moments to leave us a review on iTunes (https://itunes.apple.com/us/podcast/community-pulse/id1218368182?mt=2) and follow us on Spotify (https://open.spotify.com/show/3I7g5W9fMSgpWu38zZMjet?si=eb528c7de12b4d7a&nd=1&dlsi=b0c85248dabc48ce), or leave a review on one of the other many podcasting sites that we're on! Your support means a lot to us and helps us continue to produce episodes every month. Like all things Community, this too takes a village.

In this episode, Abi Noda speaks with DX CTO Laura Tacho about the real obstacles holding back AI adoption in engineering teams. They discuss why technical challenges are rarely the blocker, and how fear, unclear expectations, and inflated hype can stall progress. Laura shares practical strategies for driving adoption, including how to model usage from the top down, build momentum through champions and training programs, and measure impact effectively—starting with establishing a baseline before introducing AI tools.Where to find Laura Tacho: • LinkedIn: https://www.linkedin.com/in/lauratacho/• Website: https://lauratacho.com/Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover:(00:00) Intro: The full spectrum of AI adoption(03:02) The hype of AI(04:46) Some statistics around the current state of AI coding tool adoption(07:27) The real barriers to AI adoption(09:31) How to drive AI adoption (15:47) Measuring AI's impact (19:49) More strategies for driving AI adoption (23:54) The Methods companies are actually using to drive impact(29:15) Questions from the chat (39:48) Wrapping upReferenced:DX Core 4 Productivity FrameworkThe AI adoption playbook: Lessons from Microsoft's internal strategyMicrosoft CEO says up to 30% of the company's code was written by AI | TechCrunchViral Shopify CEO Manifesto Says AI Now Mandatory For All EmployeesDORA | Impact of Generative AI in Software DevelopmentGuide to AI assisted engineeringJustin Reock - DX | LinkedIn

BONUS: Zach Goldberg shares how to build high-performing engineering teams and master the startup CTO role In this BONUS episode, we dive deep into the world of startup leadership with Zach Goldberg, author of The Startup CTO's Handbook. We explore the critical transition from engineering to leadership, the art of balancing technical debt with startup urgency, and the communication skills that separate great CTOs from the rest. The Genesis of The Startup CTO's Handbook "My original training in software engineering was not enough for being a leader. All the people and leadership skills, I had to learn on my own." Zach's journey to writing The Startup CTO's Handbook began with a stark realization about the gap between technical training and leadership reality. Despite his classical software engineering background, he discovered that the people and leadership skills required for CTO success had to be self-taught. The book emerged from a growing Google Doc of topics and frameworks addressing the leadership and management challenges that CTOs consistently face - from hiring and performance management to making strategic decisions under pressure. Today, we can either buy the digital/print book on Amazon, or read the book on GitHub.  In this segment, we also refer to the book The Great CEO Within. Learning to Truly Learn: The Max Mintz Story "Max only cared about my ability to learn - to get curious about something hard. He wanted to help me deal with complexity." Zach opens his book with a deeply personal story about his mentor, Max Mintz, who fundamentally changed his approach to learning during what he calls "the most impactful single coffee" of his life. Over 1.5 years of conversations, Max taught him that true learning isn't about accumulating facts, but about developing curiosity for hard problems and building the capacity to handle complexity. This lesson forms the foundation of effective CTO leadership - the ability to continuously learn and adapt in an ever-changing technical landscape. The Three Critical CTO Mistakes "As a CTO, the most important 3 things: people, people, people. Do the people have the right energy, the right passion? Assemble the right team." Zach identifies consistent patterns in startup CTO failures across his experience. The first and most critical mistake is undervaluing people decisions - failing to prioritize team energy, passion, and the right assembly of talent. The second category involves investment mistakes, particularly the challenge of balancing short-term survival needs with long-term technical goals. In startups, the ROI timespan is exceptionally short, requiring optimization for immediate objectives rather than hypothetical scale. The third mistake is treating technology as religion rather than tools, losing sight of what the business actually needs. Optimizing for Velocity and Developer Experience "You are optimizing for velocity! What are you doing to help developers get their work done? Look at developer experience as a metric." Successful startup CTOs understand that velocity - the time from idea to valuable market delivery - is paramount. This requires a fundamental shift in thinking about technology decisions, focusing on features that deliver real customer value rather than technical elegance. Zach emphasizes measuring developer experience as a key metric, recognizing that anything that helps developers work more effectively directly impacts the company's ability to survive and thrive in competitive markets. The Professional Skill Tree Concept "It's like a character progression in an RPG. When we learn one type of skills, we don't learn other types of skills. We make investments every day and we have a choice on where we learn." Drawing from gaming metaphors, Zach explains how technical professionals often reach Level 100 in engineering skills while remaining Level 1 in management. The skill tree concept highlights that every learning investment is a choice - time spent developing one skill area means less time available for others. For engineers transitioning to leadership, the key is recognizing opportunities to serve as tech leads, where they can begin setting culture and quality standards while still leveraging their technical expertise. Balancing Kaizen with Startup Urgency "Pick the high-impact debt, and pay that down. This is not always easy, especially because we also need to pick what debt we don't invest on." The tension between continuous improvement and startup speed requires sophisticated thinking about technical debt. Using financial analogies, Zach explains that technical debt has both principal and interest components. The key is identifying which debt carries the highest interest rates and can be paid down most quickly, while consciously choosing which debt to carry forward. This approach maintains the healthy tension between quality and speed that defines successful startup engineering. The Power of Audience Empathy "The single hardest skill, especially for very tech leaders is that of 'audience empathy.' When you explain ideas to people, you usually assume a lot - but they might not." According to Zach, the most undervalued communication habit for startup tech leaders is developing audience empathy. Technical leaders often suffer from the curse of knowledge, assuming their audience shares their context and understanding. The solution requires deliberately considering what the audience already knows before crafting any communication, whether it's explaining technical concepts to non-technical stakeholders or providing clear direction to team members. In this segment we refer to the concept of “the curse of knowledge”, a cognitive bias that occurs when a person who has specialized knowledge assumes that others share in that knowledge. About Zach Goldberg Zach Goldberg is a seasoned technical entrepreneur, executive coach, and author of The Startup CTO's Handbook. With a founder's mentality and a passion for systems thinking, Zach helps engineering leaders build high-performing teams. He also founded Advance The World, a nonprofit inspiring youth in STEM through immersive experiences. You can link with Zach Goldberg on LinkedIn, and visit Zach's website at CTOHB.com.

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

"Vibe coding" is gaining traction as a new way to approach software development—but what does it actually mean? In this episode, we unpack the term, explore how it's shaping the developer experience, and examine its potential to transform developer relations. We'll break down the pros and cons, from faster workflows to new challenges in communication and code quality, and discuss what this shift means for DevRel professionals today and in the future. Enjoy the podcast? Please take a few moments to leave us a review on iTunes (https://itunes.apple.com/us/podcast/community-pulse/id1218368182?mt=2) and follow us on Spotify (https://open.spotify.com/show/3I7g5W9fMSgpWu38zZMjet?si=eb528c7de12b4d7a&nd=1&dlsi=b0c85248dabc48ce), or leave a review on one of the other many podcasting sites that we're on! Your support means a lot to us and helps us continue to produce episodes every month. Like all things Community, this too takes a village.

Peter Pistorius, co-creator of RedwoodJS, talks about the evolution from RedwoodJS GraphQL to the new Redwood SDK, a React framework built for Cloudflare. They dive deep into serverless architecture, React Server Components, durable objects, AI-assisted development, and the challenges of modern deployment and hosting. Learn how Redwood SDK is empowering developers to focus on building and shipping, instead of managing infrastructure. Links https://rw-sdk.com http://peterp.org https://github.com/peterp https://bsky.app/profile/p4p8.bsky.social https://x.com/appfactory https://cursor.sh https://neon.tech Resources https://rwsdk.com We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr).

Today, we explore the future of ecommerce infrastructure with Gus Fune, Chief Technology Officer (CTO) at Baerskin Tactical. As a global tactical gear brand, Baerskin is transforming how lean teams recover fast and scale smart. Gus shares how his four-person team rebuilt their ecommerce stack in just three months, stabilized revenue with a composable architecture, and built a developer-first culture that enables rapid experimentation. Tune in for practical insights on replacing legacy systems, managing 40+ microservices, and what truly drives innovation in ecommerce.

As a leader that wants to optimize an organization you are bound to fail if you isolate social (culture and people) and technical (tools and process) changes. When we ask Lesley Cordero, Staff Engineer at The New York Times how to solve this dilemma she answers: "Platform Engineering, it can drive organizational sustainability by practicing sociotechnical principles that provide a community driven support system for application developers using our standardized shared platform architecture"Tune in to our latest episode and learn more about the importance of leadership to continuously keep up and balance the tension between "Developers" and "Operations", between "End User Experience" and "Developer Experience" and ultimately between "Culture and People and "Tools and Processes"Links we discussedLesley's LinkedIn: https://www.linkedin.com/in/lesleycordero/GOTO Conference Talk => https://www.youtube.com/watch?v=Jx-XrUONJ-o QCon 2025 Talk Details: https://qconlondon.com/presentation/apr2025/platform-engineering-practice-sociotechnical-excellence DevOpsCon 2024 Talk Details: https://devopscon.io/business-company-culture/platform-engineering-devops/

Carson Gross, creator of HTMX, talks about its evolution from intercooler.js, its viral rise on social media, and its philosophy of simplicity and stability. They dive into how HTMX fits into the modern web dev ecosystem, the idea of building 100-year web services, and why older technologies like jQuery and server-side rendering still have staying power. Carson also shares insights on open-source marketing, progressive enhancement, and the future of web development. Links https://bigsky.software https://www.linkedin.com/in/1cg https://github.com/bigskysoftware https://x.com/htmx_org https://htmx.org https://htmx.org/discord https://hypermedia.systems https://github.com/surrealdb/surrealdb.js https://unpoly.com https://ui.shadcn.com We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Carson Gross.

Founder of VoidZero and founder of Vue and Vite Evan You joins us to talk about the evolution of JavaScript tooling, the success of Vite, and what's coming next with VitePlus — a unified toolchain aiming to simplify dev workflows. We also touch on Nitro, multi-runtime support, and where AI might (or might not) fit into the mix. Links https://evanyou.me https://x.com/youyuxi https://bsky.app/profile/evanyou.me https://github.com/yyx990803 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Evan You.