Podcasts about developer advocate

In this episode, Dave Fletcher, cofounder of LeadDev, joins us at LDX3 London.Dave shares what LeadDev is seeing from thousands of engineering leaders, including what tools they are buying, how AI coding tools are changing downstream needs, and why observability, CI/CD, testing, reliability, and security are rising up the priority list.We also talk about how DevTools companies should message AI without triggering engineers' bullshit detectors, why specificity beats hype, and why in-person events are becoming more important as digital channels get crowded.Links:Dave Fletcher's LinkedInLeadDevLDX3 LondonLeadDev events

In this episode, Dennis Pilarinos, founder and CEO of Unblocked, joins us at LeadDev in London.Dennis explains why AI coding agents are only as good as the context they can access, and why every new agent is like a developer on their first day at a company.We talk about organizational context, token savings, MCP, stale documentation, knowledge graphs, permissions, identity across systems, and why the next big infrastructure layer for AI development may be the context layer.LinksDennis Pilarinos on LinkedInDennis Pilarinos on XUnblockedUnblocked BlogContext EngineeringLeadDevLDX3 London

In this episode, Ian Coe, Co-founder and CEO of Tonic.ai, joins us at Heavybit DevGuild.Ian explains how Tonic started by helping developers create safe, realistic data for testing and development, and how that has expanded into AI model training, de-identification, and synthetic datasets for reinforcement learning.We discuss structured vs. unstructured data, healthcare and financial services use cases, Tonic Fabricate, Tonic Textual, fine-tuning, RL environments, and why enterprises are becoming more interested in training models on their own data.LinksIan Coe's LinkedInTonic.aiTonic FabricateTonic TextualTonic BlogHeavybit DevGuild

https://clearmeasure.com/developers/forums/ John Bristowe brings over 20 years of experience in technology to his role as Developer Advocate at Octopus Deploy. His career includes time at Progress and Microsoft, where he developed his skills in management and technology. Known for a straightforward and engaging style, John often speaks at industry conferences, sharing practical tips and insights. John is a HashiCorp Ambassador and part of the Progress Champions program. He enjoys creating content such as articles, webinars, and podcasts, aiming to help others in the tech community. In his free time, John likes to stay informed about the latest tech developments and shares his learning with an online audience. His approach is always about sharing knowledge and learning together.  LinkedIn- https://www.linkedin.com/in/jbristowe/  Sessionize Link - https://sessionize.com/john-bristowe/ Octopus Roadmap - roadmap.octopus.com Octopus Blog - https://octopus.com/blog/code-review-is-theater-now I Love Lucy Reference - https://www.youtube.com/watch?v=AnHiAWlrYQc Previous Appearances on the Azure & DevOps Podcast: https://azuredevopspodcast.clear-measure.com/john-bristowe-the-latest-from-octopus-deploy-episode-368 Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

In this episode, Alex Jung, cofounder and CPO of Unikraft, joins us at Heavybit DevGuild. Alex explains how Unikraft went from an academic unikernel project to a cloud platform for running highly efficient workloads. We talk about why unikernels can make applications faster, cheaper, and more secure, how AI agents are driving demand for sandboxed compute, and why the next wave of software generation may require a much more efficient cloud infrastructure layer.Links:• Alex Jung's LinkedIn• Alex Jung on X • Unikraft• Unikraft on GitHub • Unikraft open source project 

In this episode, Doug Pagnutti, Developer Advocate at Tiger Data, discusses how time series databases like TimescaleDB are transforming industrial automation, robotics, and AI applications. He shares insights on integrating these databases with various sensors, managing data at scale, and optimizing performance both on the cloud and on the edge. Key Topics: - The role of time series data in robotics and industrial automation - How TimescaleDB extends PostgreSQL for high-performance time series workloads - Differences between open source and managed cloud versions - Strategies for integrating various industrial controllers and messaging pipelines - Techniques for managing intermittent connectivity with edge devices - Advanced tools like continuous aggregates and data compression for big data - Enabling multimodal data queries with hybrid search stacks - Future applications of time series data in AI-driven environments and energy systems - Best practices for storing telemetry, spatial, and metadata efficiently – SPONSORS – This episode is brought to you by Tiger Data Every growing Postgres database eventually hits a wall. Queries slow down, dashboards lag, and teams consider adding a second database. Tiger Data, creators of TimescaleDB, extends Postgres with time-series primitives, columnar storage, and automatic partitioning so your queries stay fast on live data. No pipelines, no migration, no second system. Just Postgres, built for the workload you actually have. Try it free at https://www.tigerdata.com/go/trial?utm_source=content-syndication&utm_medium=referral&utm_campaign=robotics-ads

Hi Spring fans! In this installment, I am thrilled to have the chance to sit down with Java Developer Advocate Billy Korando to talk about the amazing features in the upcoming Java 27! We recorded this a day before I flew to San Francisco to attend the world premiere of the Java documentary, so as you can imagine, I've got goosebumps. To talk about what the language is bringing in the future and have this deep and amazing documentary experience about what the language has brought to developers and the world in 48 hours? Amazing. Thank you, Java, and thank you, Billy, for that amazing memory.

In this episode, Kim Maida joins the podcast to talk about DevRel, AI, developer experience, and measuring what actually matters. We also dive into her developer empowerment flywheel and how Keycard is approaching identity and access for AI agents.Links:   •  Kim Maida   •  Keycard   •  Kim Maida on LinkedIn   •  Kim Maida on X

In this episode, we're joined by Ben Morss, Developer Advocate at DeepL, who spent months traveling across North America and Europe teaching developers about MCP, building MCP servers, and helping teams understand how AI agents actually use tools.We dive into the biggest misconceptions around MCP, why so many developers still misunderstand how it works, and what Ben learned after giving talks and workshops in 10 cities across four countries. Along the way, we explore MCP server design, tool calling, security concerns, translation workflows, developer education, and how DeepL is using MCP to bring high-quality language translation into AI-powered applications.DeepL: https://www.deepl.comBen Morss: https://www.linkedin.com/in/ben-morss-ph-d-15bab15/Alex Salkever: https://www.linkedin.com/in/alexsalkeverTimestamps:[00:00] AI and API Integration[00:41] DeepL at DevSummit[01:19] MCP Roadshow Origins[03:47] MCP Hackathon Insights[07:52] Security in Model Protocols[10:25] AI Expert vs Noob Queries[16:08] DeepL vs Frontier LLMs[18:16] MCP vs REST API[21:39] MCP Servers and DeepL

In this episode, we're joined by Cornelia Davis, Developer Advocate at Temporal and a longtime software architect who has spent decades helping shape modern cloud-native systems.We explore how programming has evolved from assembly language to cloud-native architectures, and why AI is forcing us to rethink software development once again. Cornelia argues that natural language is becoming a new programming abstraction, while durable execution may be the missing layer that makes AI agents reliable in production.The conversation dives into probabilistic software, long-running AI agents, MCP tasks, human-in-the-loop workflows, durable timers, distributed systems, and why developers may no longer need to think about infrastructure the way they once did.Cornelia Davis: https://www.linkedin.com/in/corneliadavisDemetrios: https://www.linkedin.com/in/dpbrinkmTemporal: https://temporal.ioTimestamps[00:00] AI Programming Abstractions[00:52] Abstraction Evolution in Programming[04:05] Text to SQL Evolution[10:08] Compensations for Natural Language[12:13] Durable MCP in AI[18:34] Streaming Session Explanation[21:31] Batch Processes with Tasks[29:29] Complexity Relocation in Systems[33:10] Complexity Relocation in Dev[36:36] Programming Model Shifts

В этом выпуске к нам пришел Паша Финкенштейн — Developer Advocate в BellSoft, человек с нестандартным бэкграундом и огромной энергией. Мы поговорили о том, как политолог и психолог стал экспертом по Java, обсудили менеджерские и архитектурные фейлы, вспомнили забытое искусство правильного дебага и прошлись с критикой по Ktor, Kotlin Multiplatform и современному вектору развития JetBrains. 00:00:41 Знакомство с гостем. Паша Финкенштейн: Developer Advocate, фанат настолок и 3D-печати. 00:02:19 Шок-контент: политология, «Майн кампф» и диплом по психологии в бизнесе. Как Паша жил без профильного ИТ-образования. 00:06:34 Старт в ИТ через боль и техподдержку. Первые строчки кода и необычные курсы по Java без заумной теории. 00:09:01 Вторичный мониторинг АЭС в Сибири, хардкорный Eclipse RCP и мертвые технологии: GWT, Wicked, TeaVM. 00:18:12 Внезапное тимлидство и классические менеджерские ошибки (олимпиадные задачки на собесах — не надо так!). 00:25:00 Утерянное искусство дебага. Почему ставить 20 обычных брейкпоинтов — это плохо, и как правильно использовать логпоинты и условные остановки. 00:30:42 ДомКлик и продукт без багов в проде (почти). Разбираем эпичную архитектурную ошибку с parallelStream, HikariCP и Kubernetes health-чеками. 00:40:41 Опыт перехода в новую компанию сразу всей командой: вин-вин для всех или скрытые риски? 00:46:47 Суровый менеджерский взгляд на переписывание кода, рефакторинг и внедрение новых языков (например, Zig) ради перформанса. 00:51:12 Почему Паша ненавидит овертаймы, ночные онколы и как жестко разделять работу и личные pet-проекты. 00:58:15 Как управлять 40+ людьми на позиции CTO в Home Credit Bank и почему этот опыт заставил вернуться поближе к коду. 01:03:03 Lamoda. Data Engineering, старт DevRel-карьеры и легендарный “Speaker’s Club” Жени Голевой (формат 5-минутных докладов без слайдов). 01:07:17 Секреты успешных докладов на примере турне “Kotlin: 2 года в продакшене, ни единого разрыва”. 01:14:42 Три главные книги разработчика от Паши (спойлер: Java Concurrency in Practice нужно перечитывать каждый год). 01:17:10 Попадание в Big Data Tools от JetBrains через вопросы к спикеру после доклада. 01:22:49 Как сломать языковой барьер, начать думать и шутить на английском (экстремальный метод из Египта). 01:31:30 Непопулярное мнение №1: Ktor — не для Enterprise (нет DI, типизации рутов), а тулинг Kotlin Multiplatform (KMP) — это главный заградительный барьер технологии. 01:39:56 Непопулярное мнение №2: Пессимистичный прогноз будущего JetBrains. Отставание в AI (Claude обходит AI Assistant), медленный Fleet, закрытие Space и параллели с Borland. IDE Zed как альтернатива. 01:47:32 Философия подписок: почему IntelliJ IDEA Community и Ultimate — это правильный подход к монетизации. 01:50:22 Текущие задачи в BellSoft: переписывание документации с помощью ИИ и помощь в создании контента. 01:53:10 Почему Claude не заменит программистов. Код-ревью и архитектура — то, в чем LLM всё ещё сильно ошибаются (разбираем проблему N+1 в jOOQ, написанную ИИ).

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

In this episode, Swyx, founder of AI Engineer, joins us live from AI Engineer Europe in London, alongside Louis Knight-Webb. We cover how AI Engineer grew from a single San Francisco conference into a global community, why industry AI work needs better venues for sharing, and what is changing in AI DevTools, code execution, research, PLG, enterprise sales, and human-written content in the age of AI.Links:• Swyx's LinkedIn• Swyx on X• Louis Knight-Webb's LinkedIn• Louis Knight-Webb on X• AI Engineer• AI Engineer Europe• AI Engineer YouTube• AI Engineer on X

In this episode, Python Developer Advocate and author Will Vincent joins the hosts to discuss the lasting appeal of Django, changes in how people learn web development, and the ways AI is reshaping software engineering. While modern AI tools can generate working code in seconds, Django's opinionated design and emphasis on maintainability help developers avoid many of the security and architectural problems that often emerge as projects grow. Drawing on his background as an educator, author, and Developer Advocate at JetBrains, Will shares his perspective on the challenges facing today's developers and computer science students. The conversation touches on "vibe coding," the misconception that a successful prototype automatically translates into a production-ready application, and the increasing burden AI-generated content is placing on open-source maintainers. Will also discusses the rise of specialized AI models, the importance of human trust in technical communities, and why foundational software engineering skills remain valuable despite rapid advances in AI tooling. Key Topics Covered Why Django Still Matters A look at why Django continues to be a strong choice for building production applications, even if it doesn't receive the same level of attention as newer frameworks. The Reality Behind "Vibe Coding" Exploring the gap between generating code with AI and understanding the systems, tradeoffs, and architecture required to build reliable software. Learning to Program as an Adult Will reflects on his path from book editing and startup leadership to becoming a self-taught programmer, educator, and author. AI and Programming Education A discussion about how AI changes the learning process, why fundamentals still matter, and how concepts like music theory can help explain the value of understanding code beneath the surface. The Growing Burden on Open Source How maintainers are dealing with an influx of low-quality AI-generated issues, pull requests, and content, and what that means for community-driven projects. Local and Specialized AI Models Why privacy concerns, lower inference costs, and better hardware may drive adoption of smaller, task-focused models rather than ever-larger general systems. Developer Concerns in the AI Era How engineers are responding to growing pressure from leadership teams eager to adopt AI, and what trends JetBrains is seeing across the developer ecosystem. Resources Mentioned LearnDjango, Will Vincent's platform for learning Django and web development. Hello World 5 Different Ways, a Django tutorial that introduces key concepts through practical examples. Django Chat, the podcast Will co-hosts covering the Django ecosystem and web development. Django News, a weekly newsletter highlighting updates from the Django community. JetBrains, the software development company behind tools such as PyCharm and IntelliJ IDEA.Special Guest: Will Vincent.

In this episode, Dan Moore from FusionAuth breaks down how the company integrated Permify after the acquisition. We talk about customer communication, pricing and packaging, migration planning, internal enablement, and the practical work that turns an acquisition into a successful product integration.Links:   •  FusionAuth   •  Permify   •  Dan Moore on Bluesky

An astronomical amount of money is being poured into AI and data centers as tech giants fight for dominance, but is this fueling the next big tech bubble or just the price of staying in the game? Get the panel's opinions on wild IPO valuations, global power grabs, Build 2026, NVIDIA GTC Taipei, and even successful YouTuber movies! SpaceX IPO to Be Largest Ever at $135 Share Price Utah residents sue officials over Kevin O'Leary data center plan When AI builds itself NVIDIA announces RTX Spark as 'the most efficient PC chip ever built' Major Homebuilder To Test Placing Mini Data Centers in Suburban Backyards Microsoft Build 2026: The 7 biggest announcements What to Expect at Apple's WWDC 2026: iOS 27, New Siri and AI Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones Trump Signs Executive Order Seeking Oversight of A.I. Models Trump: U.S. stake in AI giants "could be a beautiful thing" Cable lobby warns of chaos if FCC doesn't relax ban on foreign routers Google ordered to put clearer links in AI search and let UK publishers opt out AT&T and Verizon lose Supreme Court case over fines for selling location data YouTubers Win the Box Office, Goodbye Gatekeepers, The YouTube Bar YouTube overtakes Netflix in average daily viewing around the world Host: Leo Laporte Guests: Joey de Villa, Jeff Jarvis, and Fr. Robert Ballecer, SJ Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit ZipRecruiter.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit helixsleep.com/twit

An astronomical amount of money is being poured into AI and data centers as tech giants fight for dominance, but is this fueling the next big tech bubble or just the price of staying in the game? Get the panel's opinions on wild IPO valuations, global power grabs, Build 2026, NVIDIA GTC Taipei, and even successful YouTuber movies! SpaceX IPO to Be Largest Ever at $135 Share Price Utah residents sue officials over Kevin O'Leary data center plan When AI builds itself NVIDIA announces RTX Spark as 'the most efficient PC chip ever built' Major Homebuilder To Test Placing Mini Data Centers in Suburban Backyards Microsoft Build 2026: The 7 biggest announcements What to Expect at Apple's WWDC 2026: iOS 27, New Siri and AI Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones Trump Signs Executive Order Seeking Oversight of A.I. Models Trump: U.S. stake in AI giants "could be a beautiful thing" Cable lobby warns of chaos if FCC doesn't relax ban on foreign routers Google ordered to put clearer links in AI search and let UK publishers opt out AT&T and Verizon lose Supreme Court case over fines for selling location data YouTubers Win the Box Office, Goodbye Gatekeepers, The YouTube Bar YouTube overtakes Netflix in average daily viewing around the world Host: Leo Laporte Guests: Joey de Villa, Jeff Jarvis, and Fr. Robert Ballecer, SJ Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit ZipRecruiter.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit helixsleep.com/twit

An astronomical amount of money is being poured into AI and data centers as tech giants fight for dominance, but is this fueling the next big tech bubble or just the price of staying in the game? Get the panel's opinions on wild IPO valuations, global power grabs, Build 2026, NVIDIA GTC Taipei, and even successful YouTuber movies! SpaceX IPO to Be Largest Ever at $135 Share Price Utah residents sue officials over Kevin O'Leary data center plan When AI builds itself NVIDIA announces RTX Spark as 'the most efficient PC chip ever built' Major Homebuilder To Test Placing Mini Data Centers in Suburban Backyards Microsoft Build 2026: The 7 biggest announcements What to Expect at Apple's WWDC 2026: iOS 27, New Siri and AI Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones Trump Signs Executive Order Seeking Oversight of A.I. Models Trump: U.S. stake in AI giants "could be a beautiful thing" Cable lobby warns of chaos if FCC doesn't relax ban on foreign routers Google ordered to put clearer links in AI search and let UK publishers opt out AT&T and Verizon lose Supreme Court case over fines for selling location data YouTubers Win the Box Office, Goodbye Gatekeepers, The YouTube Bar YouTube overtakes Netflix in average daily viewing around the world Host: Leo Laporte Guests: Joey de Villa, Jeff Jarvis, and Fr. Robert Ballecer, SJ Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit ZipRecruiter.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit helixsleep.com/twit

An astronomical amount of money is being poured into AI and data centers as tech giants fight for dominance, but is this fueling the next big tech bubble or just the price of staying in the game? Get the panel's opinions on wild IPO valuations, global power grabs, Build 2026, NVIDIA GTC Taipei, and even successful YouTuber movies! SpaceX IPO to Be Largest Ever at $135 Share Price Utah residents sue officials over Kevin O'Leary data center plan When AI builds itself NVIDIA announces RTX Spark as 'the most efficient PC chip ever built' Major Homebuilder To Test Placing Mini Data Centers in Suburban Backyards Microsoft Build 2026: The 7 biggest announcements What to Expect at Apple's WWDC 2026: iOS 27, New Siri and AI Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones Trump Signs Executive Order Seeking Oversight of A.I. Models Trump: U.S. stake in AI giants "could be a beautiful thing" Cable lobby warns of chaos if FCC doesn't relax ban on foreign routers Google ordered to put clearer links in AI search and let UK publishers opt out AT&T and Verizon lose Supreme Court case over fines for selling location data YouTubers Win the Box Office, Goodbye Gatekeepers, The YouTube Bar YouTube overtakes Netflix in average daily viewing around the world Host: Leo Laporte Guests: Joey de Villa, Jeff Jarvis, and Fr. Robert Ballecer, SJ Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit ZipRecruiter.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit helixsleep.com/twit

An astronomical amount of money is being poured into AI and data centers as tech giants fight for dominance, but is this fueling the next big tech bubble or just the price of staying in the game? Get the panel's opinions on wild IPO valuations, global power grabs, Build 2026, NVIDIA GTC Taipei, and even successful YouTuber movies! SpaceX IPO to Be Largest Ever at $135 Share Price Utah residents sue officials over Kevin O'Leary data center plan When AI builds itself NVIDIA announces RTX Spark as 'the most efficient PC chip ever built' Major Homebuilder To Test Placing Mini Data Centers in Suburban Backyards Microsoft Build 2026: The 7 biggest announcements What to Expect at Apple's WWDC 2026: iOS 27, New Siri and AI Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones Trump Signs Executive Order Seeking Oversight of A.I. Models Trump: U.S. stake in AI giants "could be a beautiful thing" Cable lobby warns of chaos if FCC doesn't relax ban on foreign routers Google ordered to put clearer links in AI search and let UK publishers opt out AT&T and Verizon lose Supreme Court case over fines for selling location data YouTubers Win the Box Office, Goodbye Gatekeepers, The YouTube Bar YouTube overtakes Netflix in average daily viewing around the world Host: Leo Laporte Guests: Joey de Villa, Jeff Jarvis, and Fr. Robert Ballecer, SJ Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit ZipRecruiter.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit helixsleep.com/twit

An astronomical amount of money is being poured into AI and data centers as tech giants fight for dominance, but is this fueling the next big tech bubble or just the price of staying in the game? Get the panel's opinions on wild IPO valuations, global power grabs, Build 2026, NVIDIA GTC Taipei, and even successful YouTuber movies! SpaceX IPO to Be Largest Ever at $135 Share Price Utah residents sue officials over Kevin O'Leary data center plan When AI builds itself NVIDIA announces RTX Spark as 'the most efficient PC chip ever built' Major Homebuilder To Test Placing Mini Data Centers in Suburban Backyards Microsoft Build 2026: The 7 biggest announcements What to Expect at Apple's WWDC 2026: iOS 27, New Siri and AI Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones Trump Signs Executive Order Seeking Oversight of A.I. Models Trump: U.S. stake in AI giants "could be a beautiful thing" Cable lobby warns of chaos if FCC doesn't relax ban on foreign routers Google ordered to put clearer links in AI search and let UK publishers opt out AT&T and Verizon lose Supreme Court case over fines for selling location data YouTubers Win the Box Office, Goodbye Gatekeepers, The YouTube Bar YouTube overtakes Netflix in average daily viewing around the world Host: Leo Laporte Guests: Joey de Villa, Jeff Jarvis, and Fr. Robert Ballecer, SJ Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit ZipRecruiter.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit helixsleep.com/twit

In this episode, Joel Griffith, founder of browserless, shares how he built browserless from a painful browser automation problem into a profitable, bootstrapped DevTools company. We cover the first customer, content-led growth, selling to developers, and the realities of building a durable software business.Links:   • Joel's LinkedIn    • browserless    •  Browserless' YouTube   •  Browserless' blog   •  Browserless' Linkedin

In this episode, some of Cloudflare's dev team - Sunil Pai, Matt Carey, and Thomas Ankcorn join us from AI Engineers Europe to discuss code mode, radical simplicity and Pi.Links:- Cloudflare - Sunil Pai - Matt Carey - Thomas Ankcorn 

In this episode, Maggie Appleton from GitHub Next explains why "single player" AI tools are creating a team alignment crisis. We discuss the shift from solo CLI instances to multiplayer agentic environments, the launch of ACE (Agentic Collaboration Environment), and why the future of software isn't just about writing code faster—it's about using proactive agents to bridge the gap between developers, researchers, and the social fabric of a company.This was recorded at AI Engineer Europe.Links:Maggie Appleton https://maggieappleton.com/GitHub Next https://githubnext.com/

In this episode, Kyle Galbraith from Depot shares the story behind building Depot CI and why traditional infrastructure is "crumbling" under the weight of AI-generated code. We discuss the shift from human-centric pipelines to agent-augmented workflows, the challenge of managing a 10x increase in code volume, and Kyle's perspective on the rising tech hubs across Europe.Links:- Depot - Kyle Galbraith 

Podcast: Tech TransformedGuests: Maxim Fateev, Co-Founder and CTO, Temporal Technologies and Cornelia Davis, Developer Advocate, Temporal TechnologiesHost: Kevin Petrie, VP of Research at BARCArtificial Intelligence (AI) models have been breaking ground in the last three years. In the race to boost capabilities month by month among platforms like OpenAI, Anthropic, and Google's Gemini models. However, for many enterprises, the main challenge is not creating AI prototypes; it's ensuring they can reliably support real business processes.In a recent episode of the Tech Transformed podcast, Kevin Petrie, VP of Research at BARC, hosted a discussion with Maxim Fateev, Co-Founder and CTO, Temporal Technologies and Cornelia Davis, Developer Advocate, Temporal Technologies. They talked about why enterprises find it hard to transition AI from experimentation to production and how infrastructure must change to support autonomous systems.Why AI Demos Break in the Real WorldAccording to Davis, many organisations make a common mistake: they focus on the "happy path" during experiments and overlook real-world operational challenges. “We have always ignored the non-functional requirements until we go to prod at our peril,” Davis said. “A lot of our experimentation is so focused on the models that we forget about the non-functional requirements.”This means developers often prioritise model performance but neglect reliability, scaling, and system resilience. Agent frameworks used in experiments—usually lightweight Python or TypeScript libraries—add to the issue.“What you're really building is a highly distributed system that's calling Large Language Models (LLMs) that will be rate-limited… networks are going to go down,” Davis explained. “When we move into prod, we haven't considered scale or instability.”As enterprises expand AI into their workflows, these overlooked details become imperative. A single outage, rate limit, or infrastructure failure can disrupt a complicated workflow that involves multiple AI steps.Also Watch: Developer Productivity 5X to 10X: Is Durable Execution the Answer to AI Orchestration Challenges?What Risks are Surfacing Since the Rise of Agentic Systems?The transition from simple AI workflows to autonomous agents adds a new layer of complexity. Traditional AI applications have predictable flows—such as summarising documents, tagging data, or creating recommendations. In contrast, agentic systems choose tools and decide on actions dynamically.“When we move from non-agentic to agentic, we introduce unpredictability,” Davis said. “The tools and the order they run in are unpredictable. Whether we go through the agentic loop once or a hundred times is unpredictable.”Such unpredictability creates new governance and compliance challenges, especially in regulated industries. “Enterprises are still responsible for predictable outcomes,” Davis noted. “We need stronger audit trails to understand why the agent made the decisions it did.”For enterprises, this means AI systems must ensure traceability, accountability, and compliance, even when decision paths differ from one interaction to another.Why is Durable Execution the New Foundation for Enterprise AIFateev argues that to manage such newly surfacing risks, enterprises need a new architectural layer focused on reliability. His concept, “Durable Execution,” aims to ensure that complex workflows keep running even when infrastructure fails.“You write code as if failures don't exist,” Fateev explained. “If a process crashes, we recover all the state and continue executing.” In practical terms, Durable Execution allows long-running AI workflows to survive interruptions—from network outages to system crashes—without losing progress or data.This is essential as agents start interacting with real systems and taking real actions. “The moment agents start acting on the external world—changing files, submitting orders—you absolutely don't want those things to get lost,” Fateev said.The Temporal co-founder further emphasised that enterprise AI will not completely replace traditional software systems.“You will always have deterministic code,” he said. “You can't imagine banks dynamically deciding what a money transfer means.”Instead, the future architecture will combine deterministic software with agents that interact through controlled tools and reliable communication layers.Also Watch: How Do You Make AI Agents Reliable at Scale?Key TakeawaysAI projects fail in production when non-functional requirements are ignoredAgentic systems bring unpredictability, making governance, traceability, and auditability essential.Lightweight experimentation frameworks aren't suited for enterprise workloads.Durable execution enables reliable AI workflows, ensuring processes continue despite infrastructure failures.Enterprise AI will blend deterministic software with agents.Chapters00:00 Introduction to AI's Impact on Business03:53 Challenges in Integrating AI into Business Workflows13:00 Understanding Non-Functional Requirements in AI19:14 The Role of Orchestration in AI Systems24:26 Exploring Durable Execution in AI Workflows30:28 Future Architectures for Autonomous AI Systems36:05 Key Takeaways for Executives in AI ImplementationFor more information, please visit em360tech.com and temporal.io.To learn more about Temporal and Durable Execution, follow:Temporal LinkedIn: Temporal TechnologiesTemporal X: @TemporalioTemporal YouTube: @TemporalioEM360Tech YouTube: @enterprisemanagement360EM360Tech LinkedIn: @EM360TechEM360Tech X: @EM360Tech#DurableExecution #EnterpriseAI #AIToProduction #AIOrchestration #TemporalTech #AutonomousAgents #SystemReliability #LLMs #TechTransformed #AIWorkflows

In this episode, Zack Proser and Nick Nisi from WorkOS share what they've learned from building real-world AI tools and running high-impact workshops for AI engineers. We talk about finding "developer balance" by feeding biometric data into LLMs, the evolution of "skills" as a software primitive, and how to build seamless agentic loops that connect Slack, Linear, and Notion to eliminate context switching.Links:- WorkOS - Zack Proser - Nick Nisi 

In this episode, Karl Hughes from Draft.dev shares what he learned from surveying DevTools marketers about budgets, AI, content, and ROI. We talk about budgets, AI workflows, content strategy, distribution, and why events and human relationships still drive some of the best results in developer marketing.Links:   •  Draft.dev    •  Karl Hughes   •  Karl's LinkedIn

In the episode Charity Majors, founder and CTO of Honeycomb, talks about what changes when the cost of generating code drops toward zero. She explains why observability becomes the source of truth, why great products still depend on taste, and how fast feedback loops let teams ship faster without breaking everything.We also get into why engineering teams need to speak in terms of business value, and how Charity thinks about writing, credibility, and building a public voice as a technical founder.Links:   •  Honeycomb   •  Charity's blog   •  Observability Engineering book

Jakub Czakon (Kuba) was until very recently the CMO of Neptune.ai, which was just acquired by OpenAI for an undisclosed amount. He also writes Developer Markepear - my favourite DevTools marketing resource.Links:Developer MarkepearDeveloper Marketing CommunityJakub's linkedin

Matt Aitken is the cofounder and CEO of Trigger.dev - an AI workflows platform. Links:- Trigger.dev- Matt Aitken - AIE Europe 

Recorded at AI Engineers Europe, Lawrence Jones is an AI engineer at Incident.io and he shares his experiences building an AI SRE. Links:- Incident.io https://incident.io/- Lawrence Jones https://www.linkedin.com/in/lawrence2jones/ 

Courtney Yatteau is a Developer Advocate on Esri's Developer Experience Team, where she helps developers build better web applications with modern JavaScript tools, libraries, and mapping technology. Before Esri, she taught computer science and mathematics, which shaped her approach to making technical concepts clear, approachable, and visual.You can find Courtney on the following sites:YouTubeBlueskyXLinkedInGithubPLEASE SUBSCRIBE TO THE PODCASTSpotifyApple PodcastsYouTube MusicAmazon MusicRSS FeedYou can check out more episodes of Coffee and Open Source on https://www.coffeeandopensource.comCoffee and Open Source is hosted by Isaac Levin

Join Dan Vega and DaShaun Carter for another essential update from the Spring ecosystem. In this episode, the guys are joined by DevRel and Java legend Arun Gupta to discuss a topic often overlooked but vital for career longevity: soft skills for developers. Drawing from his decades of experience at tech giants like Sun, Oracle, Intel, AWS, and Apple, Arun explores how communication, empathy, and "force multiplying" through non-technical skills can be just as impactful as mastering a new framework. You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.Show Notes:Arun on LinkedInArun on Twitter

Hi, Spring fans! In this installment I talk to legendary Java developer advocate Ana-Maria Mihalceanu, recorded at JavaOne 2026

Andy is the cofounder of DeepTrace, an AI reliability platform that helps engineering teams investigate incidents and fix problems in production. In this conversation, Andy shares how a team of technical founders learned sales, got their first 10 customers, and approached go-to-market with the same mindset they used for engineering. We discuss outbound volume, messaging, targeting, sales tooling, paid ads, sales calls, pricing, trials, and the thinking behind DeepTraceLinks:Andy's LinkedinDeeptrace

Stefano Verna and Matteo Giaccone from DatoCMS share how their side project in a web agency turned into a €6.5M ARR company with a 13-person remote team. We talk about building sustainable, bootstrapped businesses, instead of the all-or-nothing VC approach, and about their 6-week shipping cycles, prioritizing simplicity, and building trust with customers.Links:    •. Dato CMS   •. Matteo's Linkedin   •. Stefano's X

Ahmad Sadeddin is the founder and CEO of Corgea. Corgea provides the security tools to find, triage, and fix insecure code. Ahmad shares:- Why you don't need to raise much to find PMF - stay lean: you should surprise people with how few people you are.- What is a small amount to raise? And what team size do you need? - Pivoting during YC and how Corgea found their first customers and the signs of Product Market Fit- The journey to Product Market Fit never stops- How Corgea worked towards Product Market FitThis 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:Ahmad Sadeddin https://www.linkedin.com/in/asadeddin/Corgea https://corgea.com/The Fatal Pinch by Paul Graham https://paulgraham.com/pinch.html

David Hsu is the founder of Retool, the low-code platform for building internal tools used by companies like Amazon, Airbnb, and the US Army. David recounts building Retool's first version in weeks with just three components, early outreach failures, shifting to "tomorrow's developers," and LLM use cases.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:  •  Retool  •  David's Linkedin

Louis Knight-Webb is the co-founder of Vibe Kanban, an open-source tool for orchestrating AI coding agents. After years of building for enterprise legacy code, Louis pivoted and saw his new project explode to over 20,000 GitHub stars in just a few months. We talk about the "startup university" of the last five years, why he walked away from 6-figure enterprise deals to find true founder-market fit, and why he thinks most people are wrong about AI-generated pull requests.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:   •  Vibe Kanban   •  Louis' Linkedin

This episode breaks down an article by Jason Cohen, founder of WP Engine and SmartBear, outlining his step-by-step roadmap from idea to product-market fit (PMF) for startups, especially DevTools. His 8 step roadmap provides insights on personal fit, market validation, customer interviews, building an SLC (simple, lovable, complete) MVP, sales focus, retention, prioritization, and founder psychology, drawing from Cohen's unicorn success and pitfalls to avoid.Links:   • Jason Cohen    •  WP Engine   •  Smart Bear    •  Jason Cohen's articleThis 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. 

This episode breaks down Marc Andreessen's 2007 article on why market matters most in startups, plus some great wisdom from Michael Seibel on spotting real PMF through explosive growth and customer pull.Links:   •  Marc Andreessen's article   •  Michael Seibel's post   •  Product Market Fit collapseThis 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.

Hi, Spring (and Java) fans! In this episode I am beyond delighted to talk Java developer advocate and longtime friend of the show Billy Korando about the latest-and-greatest in the Java ecosystem.

This episode is with Christopher Burns, the creator of c15t and founder of consent.io, an open-source, developer-first, ethical provider of privacy infrastructure. Chris explains why most cookie banners are not compliant, and if the EU is going to come after you for it. We talk about how he found product market fit and grew the company, and we also debate London vs SF for startups.Links:   •  Chris' Linkedin   •  c15t   •  ConsentThis 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

This is the story of how Amazon Web Services - arguably the most successful developer tool of all time - got started. 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.

Adam Frankl has been the first Marketing VP at three dev-facing unicorns. He returns to the podcast, to reveal the things that DevTool startups must get right in the early days, in order to be successful. We also discuss Jack's experience implementing Technical Advisory Boards (TABs) with a new startup, and the hurdles startups face with outreach, sustaining member enthusiasm across calls, and the art of framing the problem correctly. Adam shares ongoing AI experiments to streamline TAB insights and stories that hook developers.​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:   •  Adam's Linkedin   •  The Developer Facing Startup

In this episode, Nathan Wrigley interviews Brian Coords, Developer Advocate at WooCommerce, about his career path, WooCommerce's recent rebranding, and its approach to developer relations. They discuss how WooCommerce balances its open source ethos, support challenges, and global reach, as well as the platform's growing focus on AI and enhanced integration with WordPress Core. Brian also shares insights into upcoming features and the evolving landscape of e-commerce, emphasising WooCommerce's adaptability and strong community connections. If you want to hear how WooCommerce and WordPress are responding to a rapidly changing tech environment, this episode is for you.

Kyle Cheung, co-founder of Greybeam, shares how his team built a tool that reduces Snowflake costs by 70-95%, without migration, drawing from multiple pivots over two years. The discussion covers their quirky marketing tactics and advice on fundraising as storytelling.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:   •  Kyle's Linkedin   •  Greybeam

On this episode of Secret Ops, we talk with Jenna Pederson, Staff Developer Advocate at Pinecone.io. Jenna shares her journey from software engineer to developer advocate building developer communities through the product development process. We chat about the practical tips for founders and discuss the importance of empathy, authentic community engagement, and listening to developers' real needs.In this episode, we discuss the:Role of a developer advocate as a bridge between technology companies and their software developer customersDifferences between traditional marketing and personalized developer advocacyRapidly evolving educational needs in technologyImportance of community engagement and expert networks in software developmentTechniques for gathering and communicating user feedback

Hi, Spring fans! In this installment, we talk to my friend and Elastic's developer advocate extraordinairre Philip Krenn on the state of logging