Podcasts about developer experience

Passer de 5 à 500 personnes, ce n'est pas juste une question de recrutement. C'est accepter de se réinventer en permanence, de lâcher prise sur ce qu'on maîtrise, et de construire des équipes capables d'avancer sans friction.Jean-Marc Charles a vécu cette transformation de l'intérieur chez BlaBlaCar pendant 10 ans. Il est passé par 18 postes différents, a managé des équipes tech grandissantes, et a appris à identifier ce qui fait vraiment fonctionner une équipe performante.Dans cet extrait, il partage les règles non-négociables qu'il applique aujourd'hui : focus, leadership et autonomie. Mais aussi pourquoi la culture du "fail learn succeed" n'est pas qu'un buzzword, et comment s'entourer de la bonne communauté pour continuer à grandir.————— JEAN-MARC CHARLES —————Retrouvez Jean-Marc :Sur son site web : https://antlice.fr/Sur LinkedIn : https://www.linkedin.com/in/jmcharles/————— 5 ÉTOILES —————Si cet épisode vous a plu, pensez à laisser une note et un commentaire sur Spotify ou Apple Podcast. Ça ne vous coûte rien et ça m'aide beaucoup !————— COACHING —————Vous êtes leader tech ou product face à des défis majeurs ?

Rémi a fait un parcours atypique : des neurosciences à Paris 6 au développement web, puis de développeur à engineering manager chez Wakeo.Pendant 7 ans dans la même boîte, il a tout vu : la croissance d'une startup, le doublement d'une équipe tech, la mise en place de process, les recrutements, la dette technique qui s'accumule... et ces moments de doute qui accompagnent chaque transition.Aujourd'hui, après 3 ans en tant qu'EM, Rémi se pose LA question : est-ce que le management, c'est vraiment fait pour lui ? Entre l'appel du code qu'il n'a jamais quitté et cette dimension humaine qu'il a appris à maîtriser, il cherche son équilibre.Dans cet échange, on parle de syndrome de l'imposteur, de culture d'entreprise, de shift produit vs tech, de recrutement, de feedback... et de ce moment où on réalise qu'on a peut-être besoin de remettre les mains dans le cambouis.————— RÉMI LEBIGRE —————Retrouvez Rémi sur LinkedIn : https://www.linkedin.com/in/remi-lebigre-6a102a53/————— PARTIE 1/3 : PARCOURS —————(01:04) Introduction à un parcours atypique(09:04) Découverte de la reconversion vers le développement(16:33) Transition progressive vers le management(42:30) Évolution vers le rôle d'Engineering Manager(45:16) Le quotidien d'un Engineering Manager(48:13) Gestion de l'agenda et priorisation(49:35) Développement et accompagnement de l'équipe(52:16) Suivi des projets et mesure de l'impact(56:30) Prise de décision et légitimité(1:00:26) Recrutement et culture d'entreprise chez Wakeo(1:05:07) Processus de recrutement détaillé(1:09:11) Structuration de l'équipe et chapters(1:10:02) Partage de connaissances : press days et R&D(1:16:18) Team Health : évaluation et amélioration continue(1:24:39) Syndrome de l'imposteur en tant que manager(1:31:56) Évolution salariale et reconnaissance(1:34:47) Réflexions sur la carrière et remise en question(1:38:17) Le podcast comme source d'inspiration(1:39:43) L'importance des entretiens et de la confrontation au marché(1:45:07) Valeurs et choix professionnels————— PARTIE 2/3 : ROLL-BACK —————(1:53:20) Le rollback : dette technique et stop-the-line produit(1:59:35) Culture et processus de management(2:10:59) Le rôle humain du manager————— PARTIE 3/3 : STAND-UP —————(2:16:19) Apprentissage et développement personnel(2:18:31) Ressources incontournables pour managers et devs(2:20:47) Passion et épanouissement dans la tech————— RESSOURCES —————Stay Sassy (SaaS) : ressources management pour heads of et EMsMartin Fowler : blog de référence sur l'architecture logicielleJosh W. Comeau : tutoriels interactifs React et CSSCharity Majors : article "The Engineer/Manager Pendulum"Communauté EM France————— 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.

Hey everyone, Alex here

What if your MCP server shipped with its own manual? Angie Jones, VP of Developer Experience at the Agentic AI Foundation, joins William and Eyvonne to break down the Skills Over MCP working group effort, which delivers Agent Skills through MCP’s existing resources primitive (think voice over IP, not skills versus MCP). Angie shares her... Read more »

What if your MCP server shipped with its own manual? Angie Jones, VP of Developer Experience at the Agentic AI Foundation, joins William and Eyvonne to break down the Skills Over MCP working group effort, which delivers Agent Skills through MCP’s existing resources primitive (think voice over IP, not skills versus MCP). Angie shares her... Read more »

————— COACHING —————Vous êtes leader tech ou product face à des défis majeurs ?

————— COACHING —————Vous êtes leader tech ou product face à des défis majeurs ?

In this episode of Elixir Wizards, Charles Suggs and Emma Whamond are joined by Flora Petterson, a self-taught Elixir developer, speaker, and maker, to talk about what happens when software systems forget and how developers can design for recovery. Flora shares her unconventional path to programming, from puppetry and creative work to discovering Elixir through Nerves and hardware projects. The conversation centers on her talk, “After the Crash,” which uses forgetting as a way to think about failure in software systems. Flora and the hosts explore process crashes, lost state, GenServer lifecycle, supervision, “let it crash,” and the difference between preventing failure and building systems that know how to recover. The episode also expands from software memory to team memory. Flora discusses documentation, institutional knowledge, mentorship, storytelling, and the challenge of preserving both what a system does and why decisions were made. Along the way, she shares how creative, low-stakes projects can help developers build deeper technical understanding and how the Elixir community can continue supporting new and self-taught engineers. Key topics discussed in this episode: Learning through experimentation with Nerves, hardware, and animatronics What it means for software systems to “forget” Failure, recovery, and lost state in the BEAM GenServer lifecycle and process recovery The nuance behind “let it crash” What supervision trees can and cannot protect Designing systems to recover from failure Deciding when state should be recovered or abandoned Documentation as organizational memory Capturing the “why” behind technical decisions Tests, docs, and examples as living knowledge Mentorship for self-taught and junior developers Storytelling as technical communication Creative projects as a path to deeper learning AI's impact on new developers Community, curiosity, and growth in Elixir Join us and the broader Elixir community at ElixirConf in Chicago this September 10-11. Use promo code Elixirwizards for 10% off in-person or virtual tickets at https://elixirconf.com/ Links mentioned: Embedded Elixir Nerve https://nerves-project.org/ Gig City Elixir Conference https://www.gigcityelixir.com/ Strange Loop Conference https://www.thestrangeloop.com/ Elixir Wizards S15E05 The State of Code Quality with Saša Jurić http://bit.ly/EWS15E05 One Art by Elizabeth Bishop https://www.poetryfoundation.org/poems/47536/one-art "Systems that run forever self-heal and scale" by Joe Armstrong (2013) https://www.youtube.com/watch?v=cNICGEwmXLU Conway's Law https://en.wikipedia.org/wiki/Conway%27s_law Dunning–Kruger effect https://en.wikipedia.org/wiki/Dunning%E2%80%93Kruger_effect Elixir Wizards S15E10 Bruce Tate http://bit.ly/EWS15E10 Designing Elixir Systems with OTP by James Gray & Bruce Tate https://pragprog.com/titles/jgotp/designing-elixir-systems-with-otp/ GenServer Behavior https://elixir.hexdocs.pm/main/GenServer.html IEx https://iex.hexdocs.pm/IEx.html Domain Driven Design by Eric Evans https://www.domainlanguage.com/ GDPR General Data Protection Regulation https://gdpr-info.eu/ https://blog.cleancoder.com/uncle-bob/2017/02/23/NecessaryComments.html Living Documentation by Cyrille Matraire https://www.oreilly.com/library/view/living-documentation-continuous/9780134689418/ Exciting ExDoc talk by Flora Petterson 2025 CodeSync https://www.youtube.com/watch?v=tLr9FOARwzQ ExDoc https://ex-doc.hexdocs.pm/ The AI Coding Crisis Blog Series https://grox.io/blog/series/the-ai-coding-crisis/ Build Animatronics with Nerves talk https://www.youtube.com/watch?v=4Ulurej4NTg Sam Aaron Sonic Pi https://sonic-pi.net/ https://scratch.mit.edu/ https://www.scratchfoundation.org/learn Nerves LiveBook https://github.com/nerves-livebook/ Hardware for Embedded Systems https://www.raspberrypi.com/ Goatmire Conference https://goatmire.com/

————— COACHING —————Vous êtes leader tech ou product face à des défis majeurs ?

Rich Harris joins the podcast to discuss his talk, fine-grained everything, exploring fine-grained reactivity, frontend performance, and the real costs of React Server Components and RSC payloads. Rich explains how Svelte and SvelteKit approach co-located data fetching, remote functions, and RPC to reduce server-side rendering costs, improve developer experience, and avoid unnecessary performance overhead on mobile networks. The conversation dives into async rendering, parallel async data fetching, type safety with schema validation, and why async-first frameworks may define the future of JavaScript frameworks and web performance. Links X: https://x.com/Rich_Harris Github: https://github.com/rich-harris Bluesky: https://bsky.app/profile/rich-harris.dev Resources Modern front-end frameworks like Svelte are astonishingly fast at rendering, thanks to techniques such as signal-based fine-grained reactivity. But there's more to performance than updating the screen at 60 frames per second. In this talk, we'll learn about new approaches that help you build fast, reliable, data-efficient apps. Slides: https://fine-grained-everything.vercel.app/1-1 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 Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, 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. Chapters Special Guest: Rich Harris.

————— COACHING —————Vous êtes leader tech ou product face à des défis majeurs ?

In this episode, Robby Russell joins to talk about how Oh My Zsh went from a tool for a few coworkers to one of the most popular open source developer tools in the world. They cover developer experience, open source maintenance, AI-assisted pull requests, and how AI could reshape software consulting.Links:   •  Robby Russell   •  Oh My Zsh   •  Maintainable podcast   •  Ruby on Rails Podcast   •  Planet Argon

Même quand on connaît la théorie du MVP par cœur, on tombe dans le piège. Thomas l'a vécu avec Relationchips : malgré toute sa connaissance de la méthode Lean, il a développé trop longtemps avant d'aller confronter son produit au marché.Dans cet extrait, Thomas décortique avec honnêteté pourquoi les développeurs ont cette tendance naturelle à sur-développer, même quand ils savent qu'il ne faut pas. Entre zone de confort technique, perfectionnisme et résistance à la confrontation client, il partage les leçons tirées de ses échecs entrepreneuriaux.————— THOMAS SERTORIO —————Retrouvez Thomas sur LinkedIn : https://www.linkedin.com/in/thomassertorio/————— RESSOURCES —————Lean StartupProduct HuntY Combinator (YC)————— 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 episode 577 of 'Coffee with Butterscotch,' the brothers dig into Steam's new personalized calendar feature and what it means for how indie games get discovered, wishlisted, and surfaced to players. They break down the difference between following and wishlisting, why launch timing still matters so much, and how Steam keeps finding new ways to put indie games in front of the right people. Then they shift into How Many Dudes beta testing, where player feedback is reshaping difficulty tuning and revealing just how differently people approach the same fight.Support How Many Dudes!Official Website: https://www.bscotch.net/games/how-many-dudesTrailer Teaser: https://www.youtube.com/watch?v=IgQM1SceEpISteam Wishlist: https://store.steampowered.com/app/3934270/How_Many_Dudes00:00 Cold Open00:36 Introduction and Welcome01:35 Steam Changes and Their Impact04:36 The New Calendar Feature on Steam07:28 Wishlist Dynamics and User Engagement10:38 Developer Experience on Steam13:28  Comparative Analysis of Game Platforms16:28 Thoughts on Steam's Effectiveness21:16 The Influence of Game Launch Timing23:34 Understanding Game Following vs. Wishlisting26:36 The Unique Position of Steam in Gaming29:11 The Evolution of PC Gaming33:52 Beta Testing Insights and Goals44:37 The Beta Testing Experience47:34 Feedback Dynamics in Game Development50:30 Game Mechanics and Player Engagement54:38 Balancing Game Elements and Player Perception59:31 The Evolution of Game CharactersTo stay up to date with all of our buttery goodness subscribe to the podcast on Apple podcasts (apple.co/1LxNEnk) or wherever you get your audio goodness. If you want to get more involved in the Butterscotch community, hop into our DISCORD server at discord.gg/bscotch and say hello! Submit questions at https://www.bscotch.net/podcast, disclose all of your secrets to podcast@bscotch.net, and send letters, gifts, and tasty treats to https://bit.ly/bscotchmailbox. We also built Ludokit, a tool for managing store pages, promo art, localization, achievements, credits, fonts, change logs, and more. Check it out at https://ludokit.com!Finally, if you'd like to support the show and buy some coffee FOR Butterscotch, head over to https://moneygrab.bscotch.net. ★ Support this podcast ★

Kelly Anne Pipe is Head of Developer Experience at Vanguard, and Nicole Scribner is a Director in the firm's Chief Technology Office focused on engineering enablement and advancement.In this session from DX Annual, Kelly Anne and Nicole share how Vanguard is expanding its AI strategy beyond software engineering to the entire product development lifecycle. While the company initially focused on tools like GitHub Copilot for engineers, they found that faster coding alone did not significantly improve delivery speed. Product managers, designers, QA teams, and organizational processes were still operating at a different pace.To address this challenge, Vanguard developed a product team maturity model built around three stages: Augmented, Accelerated, and Autonomized. The framework spans six dimensions, from AI-powered delivery and AI-ready codebases to team autonomy, operations, and responsible AI.Kelly Anne and Nicole explain how Vanguard is applying the model across more than 800 product teams, the behaviors they believe will enable faster delivery, and the lessons they have learned about measurement, organizational change, dependencies, and scaling AI across the product development lifecycle.In this episode, we cover:(00:00) Intro(02:16) The state of AI one year ago at Vanguard(02:54) The engineering bubble(05:05) Building an AI maturity model for 800 product teams(08:24) Dimension 1: AI-powered product delivery(10:00) Dimension 2: AI-ready codebase(12:20) Dimension 3: Autonomous agent utilization (13:00) Dimension 4: AI-augmented operations(14:00) Dimension 5: Team autonomy and enablement(16:11) Dimension 6: Responsible AI(18:15) The people problem: role evolution (20:00) The measurement problem (22:55) Lessons learned from rolling out the maturity model (26:46) What's ahead (30:10) Q&A #1: Getting your codebase ready for AI(32:22) Q&A #2: Audit trails and responsible AI(34:16) Q&A #3: Vanguard's maturity model progress(36:15) Q&A #4: Measuring cycle time across 800 teamsReferenced:• Vanguard• Jennifer St Pierre - Dell Technologies | LinkedIn• Mercari

In this After Pulse the hosts get into what it's actually like to be the odd one out in the room, the person who can see the bigger picture when everyone else is heads down on their own slice of the problem. They share personal anecdoates about trying to get stakeholders to zoom out, see who a decision actually impacts, and what's worked and what hasn't when you're the one connecting dots nobody else is putting together yet. Enjoy the podcast? Please take a few moments to leave us a review on iTunes and follow us on Spotify, 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.

————— COACHING —————Vous êtes leader tech ou product face à des défis majeurs ?

Jennifer St Pierre is Senior Vice President of Developer Experience and Transformation at Dell Technologies, where she leads the strategy for how Dell's Infrastructure Solutions Group builds, operates, and evolves software.In this session from DX Annual, Jen argues that the biggest challenge in adopting agentic AI is not the technology itself, but the people transition behind it. Drawing on lessons from earlier shifts like Agile, DevOps, and cloud adoption, she explains why organizations that treat AI as a simple tooling rollout may get compliance, but not commitment.Jen outlines five leadership imperatives for navigating the transition: building a shared understanding of why change is happening, defining a clear future state, clarifying how roles will evolve, creating psychological safety for experimentation, and aligning metrics and organizational structures with new ways of working. Throughout the talk, she emphasizes that while AI may generate code, humans remain responsible for direction, judgment, and meaning.Where to find Jennifer St Pierre: • LinkedIn: https://www.linkedin.com/in/jennifer-st-pierre-4935a81In this episode, we cover:(00:00) Intro(00:13) Why every major technology shift is ultimately a people transition(05:00) AI-generated code and the evolving role of software engineers(07:43) The importance of developing a shared understanding(12:00) Defining a clear future state and how engineering roles will evolve(19:12) How psychological safety enables experimentation and honest feedback(22:41) Why metrics and organizational structure must evolve for the age of AI(25:40) Why leaders must drive AI transformation intentionallyReferenced:• Measuring developer productivity with the DX Core 4• Understand team effectiveness 

————— COACHING —————Vous êtes leader tech ou product face à des défis majeurs ?

In this episode of Elixir Wizards, hosts Charles Suggs and Emma Whamond sit down with Marek Šuppa, creator of the Missing GitHub Status page, a project that reconstructs GitHub's historical uptime data and reveals discrepancies between official status reporting and the platform's actual reliability. Marek tells us about his dev journey from open source contributor at DuckDuckGo to machine learning engineer at Cisco-acquired Slido. Then, we discuss GitHub's evolution from a hosted Git service into a critical developer tool. We cover reliability, transparency, AI-driven platform growth, developer workflows, and the challenges of balancing convenience with resilience. Along the way, we cover alternative platforms, self-hosted solutions, and whether recent outages are changing how developers think about ownership, dependency, and the future of software collaboration. Topics Discussed in this Episode: Why did Mr. Shu create the Missing GitHub Status Page? GitHub's reported uptime versus developer experiences How open source contributions shaped Marek's career The evolution of GitHub from tool to critical infrastructure Centralization risks in modern software development Git's distributed roots and today's platform-centric workflows Developer reactions to GitHub outages Transparency and accountability in status reporting AI's impact on developer platforms and infrastructure demands Microsoft's stewardship of GitHub Forgejo, Codeberg, and alternative Git hosting platforms Self-hosted Git solutions and tradeoffs Network effects and platform lock-in The social side of software collaboration Building resilience into developer workflows What GitHub outages teach us about infrastructure dependency Links Mentioned: The Missing GitHub Status Page https://mrshu.github.io/github-statuses/ Slido https://www.slido.com/ https://duckduckgo.com/ The official GitHub Status Page https://www.githubstatus.com/ Statuspage.iohttps://www.atlassian.com/software/statuspage Zig Leaves GitHub https://ziglang.org/news/migrating-from-github-to-codeberg/ Ghostty Leaves GitHub https://mitchellh.com/writing/ghostty-leaving-github GitLab https://about.gitlab.com/ Codeberg https://codeberg.org/ https://git.kernel.org/ Forgejo Lightweight Self-Hosting https://forgejo.org/ Former GitHub CEO Thomas Dohmke launches Entire https://entire.io/news/former-github-ceo-thomas-dohmke-raises-60-million-seed-round Update on Spain and LALIGA blocks of the internet https://vercel.com/blog/update-on-spain-and-laliga-blocks-of-the-internet

————— COACHING —————Cet épisode vous a donné envie d'en savoir plus sur le coaching ?

Recorded live at Money 20/20 in Las Vegas, Nevada, Eyal is joined by Jess Turner, EVP and Global Head of Open Finance & Developer Experience at Mastercard. Credit cards, and the networks that power them, have been a central part of the global financial system for over 70 years, providing far more than just payments. As money becomes more and more digital, the role these networks play as data brokers and data custodians, is evolving in lockstep, fueled even further by the rise of open banking. Far from being viewed as a threat, card providers have been rapidly evolving to embrace the new opportunities presented by open banking, open finance and open data. Eyal and Jess discuss how the card industry is being impacted by this shift, and how Mastercard is working to firmly position itself as one of the leading trailblazers. Specifically they discuss:How card networks unlock dataThe importance of open standardsRegion-specific considerationsTrust, consent and controlThe legacy of Mastercard

In this episode of Community Pulse, we discuss the challenge DevRel teams face when raising concerns internally. Because they're closely connected to the developer community, they often spot issues before anyone else. Speaking up too often can make them seem overly negative or resistant to change. We explore how to communicate concerns effectively, maintain credibility with stakeholders, and continue advocating for the community without becoming “the person who always pumps the brakes.” Checkouts Wesley Faulkner Work's Not Working - A community for those struggling in the workplace to get real help instead of platitudes. Get suggestions from other people that are dealing with the same struggles that you are facing to get real support. Against Empathy - The book draws on the distinctions between empathy, compassion, and moral decision making. Jason Hand High Agency In 30 Minutes Datadog Community YouTube The State of AI Engineering Report Mary Thengvall Monte Williams - ALEU Leadership Development Project Hail Mary - book is amazing; audiobook narrator (Ray Porter) is phenomenal; and the movie holds up to the book - triple threat! Melissa Appel Re-reading Designing your Life - it uses design thinking, and especially prototyping / experimentation to help you figure out what's next in your professional or personal life Jonan Scheffler Zen Mind, Beginner's Mind - Shinryu Suzuki Drive, Dan Pink: Autonomy, Mastery, Purpose DM me if you're in Berlin, I'll buy you a beer. Enjoy the podcast? Please take a few moments to leave us a review on iTunes and follow us on Spotify, 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. Artwork photo by Nick Nice on UnsplashSpecial Guests: Jonan Scheffler and Melissa Appel.

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

Tester oui, mais par où commencer ? Et quels pièges éviter quand on débute ?Dans cet extrait, Antoine partage les grands principes qui guident ses choix de testing, que ce soit en phase exploratoire ou dans des contextes matures.Il aborde aussi un sujet brûlant : l'arrivée de l'IA dans les pratiques de testing. Automatiser plus, ou tester moins mais mieux ? Sa réponse est sans ambiguïté.Ce que vous allez entendre :Par où commencer quand on n'a jamais fait de testsPourquoi tester, ce n'est pas seulement une histoire de codeLes grands principes qui permettent de garder une stratégie de testing efficaceL'impact de l'IA sur le testing : plus de tests ≠ meilleure qualitéComment garder une approche frugale et pertinente face aux sirènes de l'automatisationRetrouvez Antoine :Sur LinkedIn : https://www.linkedin.com/in/acraske/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.

If your SaaS product delivers genuine value fast, growth takes care of itself. That's the core thesis Sanjay Sarathy has spent 8+ years proving at Cloudinary, where he oversees a self-service business representing nearly a third of the company's revenue across 11,000+ paying customers in 150+ countries — without feet on the ground in most of them.In this episode, Sanjay breaks down what product-led growth actually looks like when it's executed well: not just free trials and clever onboarding flows, but building such a frictionless, valuable experience that developers naturally tell other developers. He shares why Cloudinary invested in technical support before marketing, how they redefined "activation" to mean real value (not just uploading a file), why discoverability is a non-negotiable pillar of their growth strategy, and how they're now rethinking the developer experience for a world where AI agents and LLMs are writing the code.This is a masterclass in developer-led PLG from someone who has lived it at scale.Key Takeaways4:07 — The Growth Levers Have Changed SEO, outbound, and paid are still valid, but word of mouth (especially in developer communities), AEO, and agentic discoverability have become powerful new growth engines — when they're earned as a byproduct of value, not engineered as a primary goal.8:28 — Why PLG Before Enterprise Cloudinary was built by developers for developers. They started with self-service because that's what their founding team would have wanted. Only after PLG proved itself did enterprise customers come knocking — and it was far easier to layer on security, SLAs, and support than to bolt on a product that developers already loved.13:46 — Great Product Isn't Enough Without Distribution Cloudinary is in 150 countries with no boots on the ground in most of them. SEO, developer relations, and a docs site that functions as a discovery engine are what made global reach possible. Distribution and product must go hand-in-hand.15:36 — Discoverability Is a Strategy, Not a Tactic "Discoverability" is a recurring internal theme at Cloudinary — constantly asking how to ensure the right people, in the right context, can find and experience the product's value.16:03 — The Cannibalization Trap Cloudinary made the mistake of launching a new product without considering its impact on existing products — and cannibalized their own business. They now use a two-track product strategy: "mature" products with full go-to-market support, and "invest" products being validated for product-market fit before scaling.19:24 — Invest in Support Before Marketing One of Cloudinary's earliest and most impactful decisions: invest heavily in technical support first. Happy, successful developers become word-of-mouth advocates. That bet paid off across an entire community.21:06 — Developer Experience in the Age of AI Tooling Developer experience today means meeting developers where they work — VS Code, Cursor, Claude, Windsurf. Cloudinary built a VS Code extension and is working to minimize hallucinations by giving LLMs accurate, context-rich instructions for using Cloudinary correctly.24:03 — Redefining Activation Uploading a file to Cloudinary is not activation. Doing something with that file — transforming it, tagging it, delivering it — is activation. Reframing their metric around genuine value changed how they prioritized onboarding.33:25 — The Seven-Day Activation Window Data shows clearly: if users don't activate within the first 7 days, a second surge doesn't come. Most activation happens in the first 4–5 days. This insight shapes everything about how Cloudinary approaches onboarding urgency.27:01 — Speak Use Cases, Not Features "We have automated image optimization" means nothing. "Your images are 40% lighter and you'll save X on bandwidth" means everything. The language of outcomes and use cases is what drives adoption and expansion.36:39 — Pricing Must Communicate Value Cloudinary's self-service pricing has remained largely flat for years while the product has added enormous capability — intentionally improving the value/price ratio over time. They also offer pay-as-you-go flexibility for seasonal businesses.44:28 — The 90-Day PLG Focus: Build Trust For founders building a PLG motion right now, Sanjay's single most important recommendation: engender trust. Do what you say. Follow up when you say you will. Make your product deliver on its promise. Trust is the flywheel.Tweetable Quotes"We never set out to get word of mouth. We set out to create value. Word of mouth was the byproduct." — Sanjay Sarathy"If your product genuinely helps people win, growth becomes a natural byproduct." — Sanjay Sarathy"Distribution is equally as important as the product itself. You can have a great product and go nowhere." — Sanjay Sarathy"Discoverability isn't a campaign. It's a strategy." — Sanjay Sarathy"Uploading a file isn't activation. Doing something valuable with it is." — Sanjay Sarathy"If a developer doesn't activate in the first seven days, don't expect another surge. It won't come." — Sanjay Sarathy"Stop talking about your features. Start talking in the language of your customer's use cases." — Sanjay Sarathy"We're okay with free users who are actively using the product. They pay us back in word of mouth." — Sanjay Sarathy"In a PLG motion, trust is the flywheel. Without it, everything else breaks down." — Sanjay Sarathy"We fell in love with our own capabilities and forgot that customers don't care. Use cases are what drive adoption." — Sanjay SarathySaaS Leadership Lessons1. Build Distribution Like You Build Product Cloudinary reaches 150+ countries without sales reps in most of them — through SEO, developer relations, documentation, and community. Great products disappear without intentional distribution. Your discoverability strategy is a growth strategy.2. Earn Word of Mouth — Don't Engineer It The moment you prioritize getting word of mouth over generating it as a byproduct of genuine value, you've lost the plot. Build something that makes people win, then step back and let them talk. The data will tell you if it's working.3. Start Narrow, Validate, Then Scale Cloudinary's "invest vs. scale" product framework exists because they once cannibalized their own product line by expanding without rigor. Validate product-market fit in a controlled way before committing the full go-to-market machine. Repeatability before scale.4. Redefine Your Activation Metrics Around Real Value Ask yourself: is the action we're measuring actually a moment of value, or just a moment of presence? Cloudinary stopped counting uploads and started counting transformations. The metric you optimize shapes the product you build.5. Invest in Customer Success Before You Think You Need To Cloudinary prioritized technical support ahead of marketing in their early days. Counter-intuitive — and it was exactly right. Successful users become advocates. That investment compounded for years through word of mouth and developer trust.6. Speak the Language Your Customer Thinks In "Automated image optimization via F-Auto" is internal language. "Your images are 40% lighter and your site is faster" is customer language. The translation layer between what your product does and what your customer achieves is where adoption lives or dies. Build that bridge deliberately.Guest Resourcessanjay@cloudinary.comwww.cloudinary.comhttps://www.linkedin.com/in/sanjaysarathy/https://x.com/guffnuffEpisode SponsorThe Futureproof Series - https://www.youtube.com/playlist?list=PLfkXKUPZ5xuOqMPR7_gzGybncTtavyR1NThe Captain's KeysSmall Fish, Big Pond – https://smallfishbigpond.com/ Use the promo code ‘SaaSFuel'Champion Leadership Group – https://championleadership.com/SaaS Fuel ResourcesWebsite - https://championleadership.com/Jeff Mains on LinkedIn - https://www.linkedin.com/in/jeffkmains/Twitter - https://twitter.com/jeffkmainsFacebook - https://www.facebook.com/thesaasguy/Instagram - https://instagram.com/jeffkmains

In Season 15 episode 3, Charles Suggs sits down with Greg Medland, aka “The Elixir Fixer,” to talk about the current state of hiring and the software jobs market in 2026.   Greg shares what he's seeing from both sides of the hiring process as an Elixir-focused recruiter, from shifting company expectations to the growing importance of specialization, communication skills, and real-world product thinking. We discuss how the market has changed since the 2021–2022 hiring boom, why things feel more uncertain today, and how developers are adapting to a slower, more competitive landscape.   The conversation also explores how AI is affecting hiring workflows, résumé quality, technical interviews, and even the rise of fraudulent candidates. Greg explains why human relationships and reputation still matter more than ever, especially in smaller ecosystems like Elixir where community connections carry real weight.   Along the way, we talk about what junior developers are up against, why senior engineers with domain expertise continue to stand out, and what developers can do to position themselves more effectively in today's market. Greg shares practical advice for building a sustainable career, developing a clear professional identity, and navigating a rapidly changing industry.   Topics discussed in this episode: The current state of the Elixir job market Hiring trends and market shifts since 2021–2022 How AI is changing hiring and recruiting workflows Fraudulent candidates and AI-generated résumés Domain expertise vs. generalist engineering skills Product thinking and customer-focused development What companies are looking for in 2026 Junior developer challenges in the current market Why senior specialists remain in demand Networking and relationship-building in tech Open source contributions and visibility in the Elixir community Standing out in a crowded hiring environment Résumé quality and application strategies The role of personal branding for developers Remote work trends and geographic hiring patterns Technical interview expectations and evaluation changes Startup vs. enterprise hiring differences Human connection in an increasingly automated industry Career resilience and long-term positioning Building a sustainable software engineering career   Links mentioned: Socially Responsible Recruitment https://sr2rec.com/en/ Greg's LinkedIn https://www.linkedin.com/in/elixirfixer/ Greg's email address: greg@sr2rec.com

Alexander Lichter, DevRel at VoidZero, walks us through Void, a Vite-native deployment platform where your code is your infrastructure. From automatic provisioning of databases and KV storage to Rolldown's massive build speed improvements in Vite 6, Alex explains how Vite Plus handles local tooling while Void handles deployment, and how MCP support lets AI coding agents like Claude scaffold and deploy apps end-to-end with minimal human input. Links Website: https://www.lichter.io X: https://x.com/TheAlexLichter Mastodon: https://hachyderm.io/@manniL Github: https://github.com/manniL YouTube: https://www.youtube.com/@TheAlexLichter Twitch: https://www.twitch.tv/TheAlexLichter LinkedIn: https://www.linkedin.com/in/alexanderlichter Resources Void: https://void.cloud 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 Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, 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. ChaptersSpecial Guest: Alexander Lichter.

Prompted by some content on “How to Succeed in DevRel” that was clearly AI produced, Jason, PJ, and Wesley go down the rabbit hole of how developers are affected by AI generated content, what the real value of AI content is to developers, and a few points on what exactly the value is of creating content for AI instead of human developers. Checkouts Wesley Faulkner Twilight Zone episode PJ Hagerty Asimov's I, Robot (not the movie) Jason Hand J's hackathon project Enjoy the podcast? Please take a few moments to leave us a review on iTunes and follow us on Spotify, 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. Artwork by Nahrizul Kadri on Unsplash

In this episode, Sammy Isaiah, co-founder of Discount Kit, shares insights into Shopify app development, the evolution of Shopify POS, and the innovative Discount Kit Live platform. Discover how these tools are transforming e-commerce experiences for developers and merchants alike.Keep up with the latest in Shopify Development NewsSubscribe to the Liquid Weekly Newsletter -https://liquidweekly.com/Support HeroesFor more information about the sponsor of this episode, Support Heroes, check out: http://thesupportheroes.comTimestamps00:00 Discount Kit Live: Enhancing User Experience06:29 The Role of Agencies and Developers in Shopify09:37 Technical Insights on Discount Management12:15 Future Prospects and Community Engagement15:25 Building the Foundation for User Experience18:36 Innovations in Cart Functionality21:52 Data Management Challenges22:58 Exploring Shopify Functions27:52 Transitioning to Point of Sale (POS) Development45:15 The Birth of Pause Cues47:33 Exploring the Functionality of Pause Cues50:26 The Impact of POS on Merchants52:25 The Developer Experience with Shopify POS56:24 Updates and Changes in Discount Kit59:25 Changelog Highlights and Community Feedback01:04:17 Picks of the Week and Closing ThoughtsFind Sammy OnlineTwitter - https://x.com/sammyIsseyeghLinkedIn - https://linkedin.com/in/sammyIsseyeghShopify App Store - https://apps.shopify.com/discount-kitDev Changelog- Legacy customer accounts are now deprecated - https://shopify.dev/changelog/legacy-customer-accounts-are-deprecated- New APIs to read and write shipping options in delivery profile - https://shopify.dev/changelog/new-apis-to-read-and-write-shipping-options-in-delivery-profile- Manage dev previews on your dev store without leaving admin - https://shopify.dev/changelog/manage-dev-previews-on-your-dev-store-without-leaving-admin- JSON metafield values limited to 128KB - https://shopify.dev/changelog/reduced-metafield-value-sizes- Shopify Dev Forums discussion: https://community.shopify.dev/t/metafield-values-limited-to-16kb/29775/39 - Bare query strings no longer bust the cache for assets - https://shopify.dev/changelog/bare-query-strings-no-longer-bust-the-cache-for-assets- Enhanced discounts support in the Shopify Functions Cart - https://shopify.dev/changelog/enhanced-discounts-support-in-the-shopify-functions-cart- New analyticsQueryable capability for Metafield Definitions - https://shopify.dev/changelog/new-analyticsqueryable-capability-for-metafield-definitions Picks of the WeekTaylor - Resend https://resend.com/Karl - Ghostty - https://ghostty.org/Sammy - Greptile - https://www.greptile.com/ResourcesShopify Developer Documentation -https://shopify.dev/Discount Kit App - https://apps.shopify.com/discount-kitShopify POS Development Resources - https://shopify.dev/docs/posShopify Functions GitHub Repository - https://github.com/Shopify/shopify-function-templateShopify WebAssembly API - https://shopify.dev/api/wasmReptile AI Code Review Tool - https://reptile.ai/Ghosty Terminal Emulator - https://ghosty.app/Key TopicsShopify app development evolutionIntroduction of Discount Kit Live platformShopify POS advancements and developer toolsImpact of Shopify updates on merchants and developersStrategies for building scalable Shopify appsSEO KeywordsShopify, Shopify POS, Discount Kit, Shopify apps, e-commerce, app development, Shopify functions, POS development, discount management, Shopify updates

This interview was recorded at GOTO Copenhagen 2025.https://gotocph.comAbby Bangser - Platform Engineering Insights from Syntasso delivering KratixAdrian Mouat - Developer Relations at Chainguard & Author of 'Using Docker'Holly Cummins - JavaOne Rock Star. Building Quarkus to Make the Cloud CloudierRESOURCESAbbyhttps://bsky.app/profile/abangser.bsky.socialhttps://twitter.com/a_bangserhttps://github.com/abangserhttps://www.linkedin.com/in/abbybangserhttps://www.syntasso.io/members-area/abby/profileAdrianhttps://bsky.app/profile/adrianmouat.comhttps://twitter.com/adrianmouathttps://github.com/amouathttps://linkedin.com/in/adrianmouathttp://www.adrianmouat.comHollyhttps://hollycummins.comhttps://hollycummins.com/type/bloghttps://bsky.app/profile/hollycummins.comhttps://hachyderm.io/@holly_cumminshttps://twitter.com/holly_cumminshttps://github.com/holly-cumminshttps://linkedin.com/in/holly-k-cumminsRECOMMENDED BOOKSAdrian Mouat • Using Docker • https://amzn.to/3PEYIJLLiz Rice • Container Security • https://amzn.to/3oU4iJeLiz Rice • Kubernetes Security • https://www.oreilly.com/library/view/kubernetes-security/9781492039075Anne Currie, Sarah Hsu, & Sara Bergman • Building Green Software • https://amzn.to/3UjSClvKief Morris • Infrastructure as Code • https://amzn.to/4e6EBQcBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

At Meta, even seemingly simple engineering tasks—like updating an API—become monumental undertakings when you're dealing with millions of lines of code and thousands of engineers, especially if the changes are security-related. In today's episode, Pascal talks to Alex and Tanu about the challenges and learnings from the journey of making Meta's mobile frameworks more secure at a scale few companies ever experience. Tune in to this episode and join us as we explore the compelling crossroads of security, automation, and AI within mobile development. Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host Pascal (https://mastodon.social/@passy, https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/. Links How AI Is Transforming the Adoption of Secure-by-Default Mobile Frameworks - https://engineering.fb.com/2025/12/15/android/how-ai-transforming-secure-by-default-mobile-frameworks-adoption/  RCCLX: Innovating GPU Communications on AMD Platforms - https://engineering.fb.com/2026/02/24/data-center-engineering/rrcclx-innovating-gpu-communications-amd-platforms-meta/  The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting Can Revive It - https://engineering.fb.com/2026/02/11/developer-tools/the-death-of-traditional-testing-agentic-development-jit-testing-revival/  Timestamps Intro & News 0:06 Meet the Product Security Team 2:07 Understanding the Intent System 4:13 Security Challenges in Android's Intent System 6:44 Proposed Solutions for Intent Security 9:39 Meta's Unique Challenges at Scale 12:34 Implementing a Secure Link Launcher Framework 15:32 Leveraging AI for Contextual Understanding 17:55 Navigating AI-Driven Code Modifications 20:47 Developer Experience with AI Code Mods 21:49 Validation Challenges in AI Code Generation 25:37 Evolution of AI in Code Modifications 29:29 Identifying AI's Strengths in Security 36:20 Future Directions in AI and Framework Development 42:58 Outro 46:58  

In this episode of Book Overflow, Carter and Nathan discuss Frictionless by Nicole Forsgren and Abi Noda!Join the Book Overflow Discord here! https://discord.gg/ZwS2fqW7ZZ -- Want to talk with Carter or Nathan? Book a coaching session! ------------------------------------------------------------Carterhttps://www.joinleland.com/coach/carter-m-1Nathanhttps://www.joinleland.com/coach/nathan-t-2-- Books Mentioned in this Episode --Note: As an Amazon Associate, we earn from qualifying purchases.----------------------------------------------------------Frictionless by Nicole Forsgren and Abi Nodahttps://amzn.to/40l1Pfw---------------- 00:00 Intro04:57 About the Book and Authors08:24 Initial Thoughts on Frictionless13:02 What is Developer Experience20:33 AI Agents and Code Safety35:07 The DevX Framework40:47 Making the Business Case for DevX51:35 The RICE Framework1:01:51 Final ThoughtsSpotify: https://open.spotify.com/show/5kj6DLCEWR5nHShlSYJI5LApple Podcasts: https://podcasts.apple.com/us/podcast/book-overflow/id1745257325X: https://x.com/bookoverflowpodCarter on X: https://x.com/cartermorganNathan's Functionally Imperative: www.functionallyimperative.com----------------Book Overflow is a podcast for software engineers, by software engineers dedicated to improving our craft by reading the best technical books in the world. Join Carter Morgan and Nathan Toups as they read and discuss a new technical book each week!The full book schedule and links to every major podcast player can be found at https://www.bookoverflow.io

Russ Miles joins the show to unpack why developer platforms fail and how to rethink platform engineering through the lens of flow of value rather than factory-style developer productivity metaphors. Russ explains why every organization already has an internal developer platform, and why treating it as platform as a product changes everything. The conversation explores cognitive load and cognitive burden, how to design around strong feedback loops, and why the OODA loop mindset helps teams make better decisions closer to development time. They discuss the risks of overloading pipelines and CI/CD systems, the tension between shipping fast and handling security vulnerabilities in a regulated environment, and how to “shift left” without simply dumping responsibility onto developers. Drawing on lessons from Rod Johnson, the Spring Framework, TDD, and modern software engineering as described by Dave Farley, Russ reframes platforms as systems that support experimentation through the scientific method. The episode also touches on AI assisted coding, developer focus, and how thoughtful developer experience and DX surveys can prevent burnout while improving value delivery. Links Website: https://www.russmiles.com Substack: https://russmiles.substack.com X: https://x.com/russmiles Resources Talk: https://www.russmiles.com/platform-engineering-failure-keynote Substack article: https://russmiles.substack.com/p/developer-platform-devrel-listen 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 Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, 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. Chapters 00:00 What Is a Developer Platform 03:00 You Already Have a Platform 08:00 Cognitive Load vs Cognitive Burden 12:00 Feedback Loops and TDD 18:00 Pipelines, Security and OODA Loops 26:00 The Factory Metaphor Problem 31:00 Modern Software Engineering and Value Delivery 40:00 Avoiding Burnout Through Better DX 46:00 The Software Enchiridion and Final Thoughts

Bitcoin Core doesn't stand still even if consensus rules don't change. In this episode, Stéphan (Core Developer at Brink) explains how the Kernel and multiprocess projects are reshaping Bitcoin Core for long-term reliability. From modular validation logic to safer development workflows, this conversation shows why maintenance work matters. Hosted by Shinobi of Bitcoin Magazine.#BitcoinCore #BitcoinDevelopment #BitcoinKernel ⭐️⚔: SIGN UP WITH DUELBITS TODAY FOR A CHANCE TO WIN UP TO 2 BTC:

What are ways to improve how you're using GitHub? How can you collaborate more effectively and improve your technical writing? This week on the show, Adam Johnson is back to talk about his new book, "Boost Your GitHub DX: Tame the Octocat and Elevate Your Productivity".

Developer productivity is often framed as a tooling initiative or a morale issue. At scale, it's a more complex socio-technical systems challenge that spans engineering foundations, leadership alignment, organizational structure, and culture.In this episode, Laura Tacho sits down with Uma Namasivayam, Senior Director, Engineering Productivity at Dropbox, to discuss how the company approaches developer experience across an organization of nearly 1,000 engineers. Uma explains why productivity must be treated as a business problem, how executive alignment enables sustained progress, and what it means to run developer experience like a product.The conversation also explores the intersection of AI and developer experience. Uma shares how Dropbox prepared its engineering systems to support AI adoption, why daily AI use depends more on habits than access, and how the company evaluates build-versus-buy decisions as AI tools struggle to scale in large environments.The episode concludes with a candid discussion of the open questions facing engineering leaders today: how to understand where AI-driven capacity actually goes, and how to connect improvements in developer experience to meaningful business outcomes in 2026.Where to find Uma Namasivayam:• LinkedIn: https://www.linkedin.com/in/unamasivayamWhere 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(00:45) Dropbox's engineering org(01:59) Why developer productivity is a business problem(04:08) The role of executive sponsorship in developer productivity(06:02) How DX's Core Four framework created a shared language(08:13) Treating developer experience as a product(11:30) How Dropbox prioritizes developer experience work(14:20) The challenge of tying developer experience to business outcomes(16:38) How AI and developer experience intersect at Dropbox(18:35) The prerequisites for AI adoption to accelerate work(20:26) How Dropbox encourages daily AI use(23:12) AI use beyond code completion(25:00) Managing AI tool demand at scale(27:56) Early results from Dropbox's AI efforts(30:05) Progress on developer experience at Dropbox(32:55) Advice for organizations investing in developer experience(34:25) Capacity tradeoffs for developer experience(35:59) The unanswered questions around AI and capacity in 2026Referenced:• DX Core 4 Productivity Framework• Dropbox.com

Rich Harris joins the podcast to discuss his talk, fine-grained everything, exploring fine-grained reactivity, frontend performance, and the real costs of React Server Components and RSC payloads. Rich explains how Svelte and SvelteKit approach co-located data fetching, remote functions, and RPC to reduce server-side rendering costs, improve developer experience, and avoid unnecessary performance overhead on mobile networks. The conversation dives into async rendering, parallel async data fetching, type safety with schema validation, and why async-first frameworks may define the future of JavaScript frameworks and web performance. Links X: https://x.com/Rich_Harris Github: https://github.com/rich-harris Bluesky: https://bsky.app/profile/rich-harris.dev Resources Modern front-end frameworks like Svelte are astonishingly fast at rendering, thanks to techniques such as signal-based fine-grained reactivity. But there's more to performance than updating the screen at 60 frames per second. In this talk, we'll learn about new approaches that help you build fast, reliable, data-efficient apps. Slides: https://fine-grained-everything.vercel.app/1-1 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 Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, 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. ChaptersSpecial Guest: Rich Harris.

How do you turn a developer-first product into a growth engine without losing trust, clarity, or focus along the way? In this episode of Tech Talks Daily, I'm joined by Sanjay Sarathy, VP of Developer Experience and Self Service at Cloudinary, for a grounded and thoughtful conversation about product-led growth when developers sit at the center of the story. Sanjay operates at a rare intersection. He leads Cloudinary's high-volume self-service motion while also caring for the developer community that fuels adoption, advocacy, and long-term loyalty. That dual perspective, part business, part builder, shapes everything we discuss. Our conversation picks up on a theme I have been exploring across recent episodes. When technical work is explained clearly, whether that is security, performance, or reliability, it stops being background noise and starts supporting growth. Sanjay shares how Cloudinary approached this from day one, starting with founders who were developers themselves and carried a deep respect for developer trust into the company's DNA. Documentation that reflects reality, platforms that behave exactly as promised, and support that shows up early rather than as an afterthought all play a part. What stood out to me was how early Cloudinary invested in technical support, even before many traditional growth motions were in place. That decision shaped a self-service experience that still feels human at scale. With thousands of developer sign-ups every day and millions of developers using the platform, Sanjay explains how trust compounds into referrals, word of mouth, and sustained adoption. We also dig into developer advocacy and why community is rarely a single thing. Developers gather around frameworks, tools, workflows, and shared problems, and Cloudinary has learned to meet them where they already are rather than forcing them into a single branded space. From React and Next.js users to enterprise advisory boards, feedback loops become part of the product itself. As AI reshapes how software is built and developer tools become more crowded, Sanjay offers a clear-eyed view on what separates companies that grow steadily from those that burn bright and stall. Profitability, experimentation with intent, and the discipline to double down on what works all feature heavily in his thinking. It is a conversation rooted in experience rather than theory. If you care about product-led growth, developer trust, or building platforms that scale without losing their soul, this episode offers plenty to think about. As always, I would love to hear your perspective too. How do you see developer communities shaping the next phase of product growth, and where do you think companies still get it wrong?

In this episode of PodRocket, Daniel Thompson--Yvetot joins us to break down what's new in Tauri 2.0 and how developers are using the Tauri framework to build desktop and mobile apps with Rust and JavaScript. We discuss how Tauri lets developers use frameworks like React, Vue, and Angular for the UI while handling heavy logic in Rust, resulting in smaller app binaries and better performance than Electron alternatives. The conversation covers Create Tauri App for faster onboarding, the new plugin system for controlling file system and OS access, and how Tauri improves app security by reducing attack surfaces. They also dive into mobile app development, differences between system WebViews, experiments with Chromium Embedded Framework, and why cross platform apps still need platform-specific thinking. Daniel also shares what's coming next for Tauri, including flexibility in webviews, accessibility tooling, compliance requirements in Europe, and the roadmap toward Tauri 3.0. Links Tauri: https://v2.tauri.app LinkedIn: https://www.linkedin.com/in/denjell 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, Elizabeth, at elizabeth.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Check out our newsletter (https://blog.logrocket.com/the-replay-newsletter/)! https://blog.logrocket.com/the-replay-newsletter/ 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) Chapters Special Guest: Daniel Thompson-Yvetot.

Greg Foster, Co-founder and CTO of Graphite (recently acquired by Cursor), joins the podcast to discuss the massive shift occurring in software engineering: the move from maximizing "Inner Loop" speed (writing code) to solving "Outer Loop" bottlenecks (reviewing, testing, merging). With AI generating code faster than humans can review it, the traditional Pull Request model is under pressure. Greg explains how "Stacked PRs" and agentic review workflows are essential for high-performing teams, and why he believes the role of the software engineer is evolving into an "architect of agents." We also cover the strategic rationale behind the Graphite/Cursor merger, the controversial "PRs per engineer" metric, and why he predicts that by 2029, manual code writing will be near zero—but demand for engineers will be higher than ever.

Modern software development is evolving rapidly. New tools, processes, and AI-powered systems are reshaping how teams collaborate and how engineers find satisfaction in their craft. At the same time, developer experience has become a critical function for helping organizations balance agility, security, and scale while maintaining the creativity and flow that make top tier engineering The post Developer Experience at Capital One with Catherine McGarvey appeared first on Software Engineering Daily.

Modern software development is evolving rapidly. New tools, processes, and AI-powered systems are reshaping how teams collaborate and how engineers find satisfaction in their craft. At the same time, developer experience has become a critical function for helping organizations balance agility, security, and scale while maintaining the creativity and flow that make top tier engineering possible. Capital One is continuously transforming its developer culture, with a focus on faster development cycles, reducing operational overhead, and boosting productivity across the organization. Catherine McGarvey is the SVP of Developer Experience at Capital One. She joins the podcast with Sean Falconer to talk about what developer enablement means at enterprise scale, measuring developer productivity, being agile in a regulated environment, AI in enterprise development, the future for developers, and much more. Full Disclosure: This episode is sponsored by Capital One. Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Developer Experience at Capital One with Catherine McGarvey appeared first on Software Engineering Daily.

Paul sits down with Mark Techson to break down Angular v21. They explore how Angular signals power new features like Angular signal forms, improve scalability, and simplify state management. The conversation dives deep into Angular AI tooling, including the Angular MCP server, Angular AI tutor, and the Angular Gemini CLI extension, explaining how Angular is adapting to modern AI-first developer workflows. Mark also shares how Angular Aria introduces Angular headless components with built-in Angular accessibility, reshaping UX collaboration. The episode wraps with updates on using Vitest with Angular, and performance features like Angular defer syntax and Angular incremental hydration. Links Blog: https://marktechson.com LinkedIn: https://www.linkedin.com/in/marktechson YouTube: https://www.youtube.com/@marktechson X: https://x.com/marktechson Github: https://github.com/MarkTechson Resources Announcing Angular v21: https://blog.angular.dev/announcing-angular-v21-57946c34f14b Angular v21 video announcement: https://www.youtube.com/watch?v=DDAHORVzQ5g 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, Elizabeth, at elizabeth.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Check out our newsletter (https://blog.logrocket.com/the-replay-newsletter/)! https://blog.logrocket.com/the-replay-newsletter/ 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) Chapters 00:00:00 – Introduction & What's New in Angular v21 00:01:00 – Angular Release Cadence & Why v21 Matters 00:02:45 – Who Angular v21 Is For: Scaling Teams & Apps 00:04:00 – AI in Modern Angular Workflows 00:05:00 – Context, Memory, and AI Tooling Strategy 00:07:30 – Web CodeGen Score & Evidence-Based Best Practices 00:08:50 – Introducing Signal Forms 00:11:00 – Client vs Server Validation with Signals 00:12:00 – Migration Strategy for Signal Forms 00:13:00 – Signals vs Observables: When to Use Each 00:15:00 – Rethinking UX with Angular Aria 00:17:00 – Headless Components & Design Systems 00:19:30 – Styling, AI, and Design Collaboration 00:22:00 – Testing in Angular v21 & Vitest 00:24:00 – Why Vitest Took Time to Land 00:26:00 – Developer Experience & Framework Fatigue 00:29:00 – Choosing Frameworks in 2025 00:31:00 – AI Tutors, MCP Servers & CLI Tooling 00:34:00 – Deferred Loading & Incremental Hydration 00:35:00 – Where to Learn More & Closing Remarks

In this year-end episode, we're reflecting on our 2025 DevRel conversations and the themes that defined the year. We revisit key insights from our guests, look at how the DevRel landscape continued to evolve, and call out the lessons that showed up again and again across our episodes. It's also a moment to thank our guests and listeners who made the show possible. Whether you joined us for one episode or all of them, this wrap-up looks back on where DevRel has been in 2025 and ahead to what's coming next. 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. Artwork by BoliviaInteligente on Unsplash.

What does it really mean to support developers in a world where the tools are getting smarter, the expectations are higher, and the human side of technology is easier to forget? In this episode of Tech Talks Daily, I sit down with Frédéric Harper, Senior Developer Relations Manager at TinyMCE, for a thoughtful conversation about what it takes to serve developer communities with credibility, empathy, and long-term intent. With more than twenty years in the tech industry, Fred's career spans hands-on web development, open source advocacy, and senior DevRel roles at companies including Microsoft, Mozilla, Fitbit, and npm. That journey gives him a rare perspective on how developer needs have evolved, and where companies still get it wrong. We explore how starting out as a full-time developer shaped Fred's approach to advocacy, grounding his work in real-world frustration rather than abstract messaging. He reflects on earning trust during challenging periods, including advocating for open source during an era when some communities viewed large tech companies with deep skepticism. Along the way, Fred shares how studying Buddhist philosophy has influenced how he shows up for developers today, helping him keep ego in check and focus on service rather than status. The conversation also lifts the curtain on rich text editing, a capability most users take for granted but one that hides deep technical complexity. Fred explains why building a modern editing experience involves far more than formatting text, touching on collaboration, accessibility, security, and the growing expectations around AI-assisted workflows. It is a reminder that some of the most familiar parts of the web are also among the hardest to build well. We then turn to developer relations itself, a role that is often misunderstood or measured through the wrong lens. Fred shares why DevRel should never be treated as a short-term sales function, how trust and community take time, and why authenticity matters more than volume. From open source responsibility to personal branding for developers, including lessons from his book published with Apress, Fred offers grounded advice on visibility, communication, and staying human in an increasingly automated industry. As the episode closes, we reflect on burnout, boundaries, and inclusion, and why healthier communities lead to better products. For anyone building developer tools, managing technical communities, or trying to grow a career without losing themselves in the process, this conversation leaves a simple question hanging in the air: how do we build technology that supports people without forgetting the people behind the code? Useful Links Connect with Frédéric Harper Learn More About TinyMCE Tech Talks Daily is sponsored by Denodo

How much value do your developers actually get to deliver in a typical week, and how much of their time is quietly lost to meetings, context hunting, and process drag? I'm joined by Phil Heijkoop, Global Practice Head of Developer Experience at Valiantys, for a conversation that cuts through the hype surrounding AI and asks a harder question about why so many engineering teams still struggle to see meaningful returns.  Phil argues that most organizations are only unlocking a small fraction of a developer's true contribution, not because of a lack of talent, but because process drag slowly squeezes out deep, focused work. AI, he explains, does not fix this by default. Without the right foundations in place, it simply accelerates the wrong work at scale. We explore the long shadow cast by the "move fast and break things" mindset and why that philosophy becomes risky inside regulated, enterprise environments where resilience and trust matter more than speed alone. Phil shares what he sees when organizations chase shiny new tooling while ignoring technical debt, unclear standards, and fragile workflows.  From protecting uninterrupted time for deep work to automating manual friction points and setting shared guardrails, he outlines how teams can realistically unlock three to five times more output before AI even enters the picture. Only then, he says, does AI act as a multiplier rather than a source of chaos. The conversation also digs into developer experience as a business lever, not a perk, and why leadership clarity, cultural trust, and consistent standards matter as much as tooling choices. We discuss the growing risks in the software supply chain, the sustainability of open source dependencies, and what recent high-profile retirements signal for enterprise teams that depend on them.  If AI is accelerating your organization in the wrong direction, what foundational changes would you need to make today to ensure it amplifies value instead of friction, and how honest are you willing to be about what is really slowing your teams down? Useful Links Connect with Phil on LinkedIn Learn more about Phil's work Valiantys Website Tech Talks Daily is sponsored by Denodo  

In this episode, Matt is joined by Laura Tacho, CTO at DX — one of the leading voices in developer experience research and tooling. Together, they unpack how AI is really affecting software development teams, why developer experience has a “marketing problem,” and why organizational friction — not technology — is the biggest productivity killer.If you've been wondering whether AI is living up to the hype in engineering teams, this conversation will give you the data, the reality, and the leadership takeaways you can act on today.Key Discussion Points[00:48] – What “Developer Experience” Really Means[02:55] – The Real Sources of Developer Friction[03:44] – Core Developer Experience Problems (Pre- and Post-AI)[05:46] – Clarity as a Competitive Advantage[07:25] – The Mistake of “Shit Shielding”[08:18] – How AI Raises the Stakes for Product Thinking[10:00] – The 10x Developer Myth's Real Origin[11:30] – Measuring Developer Experience with the DX Index[14:00] – The Role of Leadership in Removing FrictionResources & Links DX – Research and tools for improving developer experience: https://getdx.com/Developer Experience Index https://getdx.com/dxi-reportingSubscribe to the Product Driven Newsletter: https://productdriven.com/newsletterWhat Smart CTOs Are Doing Differently With Offshore Teams in 2025: https://hirefullscale.com/offshore-hiring-guide

Subscriptions aren't enough anymore. We dig into why the next wave of software winners are building full commerce platforms where payments are invisible to users yet central to growth. With NMI's CMO Peter Galvin and Product Director of Developer Experience, Luis Peña, we unpack how vertical SaaS turns checkout into a native, on-brand experience that drives revenue, cuts churn, and opens the door to embedded finance.We start with the big shift: horizontal tools are giving way to vertical platforms that automate every workflow and own the moment of payment. From dentist offices to gyms and home services, merchants want one system that books, bills, and gets them paid. Peter explains how integrated payments changes the business model - subscription fees plus payments monetization and new fintech lines like working capital - while strengthening loyalty through a consistent, secure merchant and consumer experience.Luis takes us into the build. He shares a practical roadmap for developer-friendly adoption: onboard merchants within your app, collect card data with tokenization and design for webhooks, and exception paths from day one. We talk sandboxes, test suites that simulate real failure modes, and AI-friendly docs that make it easier for modern teams to ship quickly without cutting corners. Then we zoom out to the data advantage - interchange optimization, card mix insights, network tokenization, and benchmarking that inform pricing, conversion, and cross-sell strategies.The takeaway is simple: treat payments as a growth engine, not a bolt-on. When software controls the workflow and the commerce flow, the product becomes stickier, the economics improve, and customers stop thinking about payments at all.

This week, we discuss cloud earnings, Siri teaming up with Gemini, and AI bottlenecks. Plus, is cloning your dog weird? Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/1FjknxuDc9Y?si=JH6rSQHErGMQQp9w) 545 (https://www.youtube.com/live/1FjknxuDc9Y?si=JH6rSQHErGMQQp9w) Runner-up Titles Stack the deck Pets and Chickens Blame it on Android They're fungible Are they going to have to introduce a new principle? Managers of rocks The world we live in Marketing wins We're the healthy skeptics Rundown Ex-NFL star QB Brady claims his dog is a clone (https://www.espn.com/nfl/story/_/id/46848973/tom-brady-says-dog-clone-family-previous-pet) Cloud Earnings AI & Cloud Trends for October 2025 (https://www.thecloudcast.net/2025/11/ai-cloud-trends-for-october-2025.html) Alphabet tops $100 billion quarterly revenue for first time, cloud grows 34% (https://www.cnbc.com/amp/2025/10/29/alphabet-google-q3-earnings.html) Google Cloud Q3 revenue surges 34% as backlog hits $155 billion (https://www.constellationr.com/blog-news/insights/google-cloud-q3-revenue-surges-34-backlog-hits-155-billion) Microsoft Azure sees 40% revenue growth in Q1 (https://www.constellationr.com/blog-news/insights/microsoft-azure-sees-40-revenue-growth-q1) Meta stock drops 10% as heightened AI spending overshadows strong results (https://www.cnbc.com/2025/10/30/meta-stock-earnings-ai-spend.html) Amazon revenues rise 13% on strength in cloud computing unit (https://giftarticle.ft.com/giftarticle/actions/redeem/b798e937-c39d-4e40-84a6-aa9210774e49) Clouded Judgement 10.31.25 - Cloud Giants Report Q3 (https://cloudedjudgement.substack.com/p/clouded-judgement-103125-cloud-giants?utm_source=post-email-title&publication_id=56878&post_id=177617088&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) 7m OpenAI work users (https://openai.com/index/1-million-businesses-putting-ai-to-work/) Amazon's culture went the wrong way (https://cote.io/2025/11/01/amazons-culture-went-the-wrong.html) Octoverse: A new developer joins GitHub every second as AI leads TypeScript to #1 (https://github.blog/news-insights/octoverse/octoverse-a-new-developer-joins-github-every-second-as-ai-leads-typescript-to-1/) What do we think of GitHub saying there are 180m developers in the world? (https://cote.io/2025/10/31/what-do-we-think-of.html) AWS and OpenAI announce multi-year strategic partnership (https://www.aboutamazon.com/news/aws/aws-open-ai-workloads-compute-infrastructure) Amazon stock jumps on $38 billion deal with OpenAI to use hundreds of thousands of Nvidia chips (https://finance.yahoo.com/news/amazon-stock-jumps-on-38-billion-deal-with-openai-to-use-hundreds-of-thousands-of-nvidia-chips-145357373.html) Relevant to your Interests Azure outage: Microsoft still working on fix, says recovery expected in several hours (https://www.cnbc.com/2025/10/29/microsoft-hit-with-azure-365-outage-ahead-of-quarterly-earnings.html) Microsoft takes $3.1 billion hit from OpenAI investment (https://www.cnbc.com/amp/2025/10/29/microsoft-open-ai-investment-earnings.html) Meta Stock Slides After Earnings. (https://www.investors.com/news/technology/meta-stock-q3-2025-earnings-ai-meta-news-zuckerberg/) AWS to Bare Metal Two Years Later: Answering Your Toughest Questions (https://oneuptime.com/blog/post/2025-10-29-aws-to-bare-metal-two-years-later/view) Meta denies torrenting porn to train AI, says downloads were for “personal use” (https://arstechnica.com/tech-policy/2025/10/meta-says-porn-downloads-on-its-ips-were-for-personal-use-not-ai-training/) Shocker! Reversal in AI ROI slide-wisdom: AI does works well (https://cote.io/2025/11/01/shocker-reversal-in-ai-roi.html) SaaS Monopoly | Khushi Lunkad (https://www.linkedin.com/posts/khushilunkad_saas-monopoly-activity-7390752595469914112-UWVw?utm_medium=ios_app&rcm=ACoAAADVjQ8Btsl3lKfl-gEYa6_6hmjCdJyRJyw&utm_source=social_share_send&utm_campaign=copy_link) The State of Developer Experience and Developer Productivity (https://lp.jetbrains.com/devex-productivity-report-full-2025-dataviz/?tab-OneOfTabWrapperBlock-1756889760421-44980=their-top-pain-points-) Why the “Free” Chef Version Could Be Your Most Expensive Mistake | Chef (https://www.chef.io/blog/chef-open-source-software-advice) Nonsense Disney yanks channels from YouTube TV after media giants fail to resolve carriage dispute | CNN Business (https://www.cnn.com/2025/10/30/media/disney-youtube-deal-biz-hnk) Traffic hits record high as commuters rewrite the rush hour - Texas A&M Transportation Institute (https://tti.tamu.edu/2025/10/traffic-hits-record-high-as-commuters-rewrite-the-rush-hour/) Denny's to be acquired and taken private in a deal valued at $620 million (https://apnews.com/article/dennys-investors-deal-private-company-f626f6b8c27f29f698a5c823ba855fc3) Conferences SREDay Amsterdam (https://sreday.com/2025-amsterdam-q4/), November 7th, Coté speaking. Wiz Wizdom Conferences (https://www.wiz.io/wizdom), November 17-19, London DevOpsDayLA at SCALE23x (https://www.socallinuxexpo.org/scale/23x), March 6th, Pasadena, CA Use code: DEVOP for 50% off. CFP open until Dec. 1st. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Liquid Glass Transparency Toggle (https://www.macrumors.com/guide/ios-26-1-features/) Matt: The Other Two (https://www.imdb.com/title/tt8310612) Coté: NØLSON shirts (https://nolson.nl) Photo Credits Header (https://unsplash.com/photos/a-dog-sniffing-a-box-full-of-chickens-wyCOBbCztVw)