Dev Interrupted

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Dev Interrupted is the go-to podcast for software engineering leadership. Each week, hosts Andrew Zigler, Ben Lloyd Pearson, and Dan Lines sit down with industry experts to explore the strategies, struggles, and stories behind high-performing software teams. Paired with weekly industry news coverage, the conversations dive deep into the real challenges that define excellence in modern tech.

  1. 6 天前

    Making tech literacy irrelevant | Infactory’s Ken Kocienda

    What do you learn after spending 15 years at Apple and demoing your work directly to Steve Jobs? Ken Kocienda, Co-founder of Infactory AI and author of Creative Selection, joins us to share the answer. As a former Principal Engineer at Apple who helped create the iPhone keyboard and autocorrect, Ken discusses his incredible journey from a history major to a key figure in building technology used by billions. He explains his core philosophy of bridging the gap between the liberal arts and technology to create meaningful products, and why he believes AI is the next frontier for this mission. (BTW – we sat down with his co-founder Brooke, so if you like this episode be sure to check that one out!) The conversation dives into his disciplined, spec-driven approach to coding with AI and the power of "extractive AI" to unlock hidden value in data. Ken reveals the crucial lesson he learned from Steve Jobs—that "everything is provisional"—and how his "evolutionary design" process is perfectly suited for today's AI challenges. This episode is a deep dive into the timeless principles of design and a powerful argument for why the best technology is so intuitive, it makes technical literacy irrelevant. Check out: Register now: AI productivity guide for engineering leadersFollow the hosts: Follow BenFollow AndrewFollow today's guest(s): Learn more about Infactory AI: infactory.aiConnect with Ken on LinkedInKen's Book: Creative Selection: Inside Apple's Design Process During the Golden Age of Steve JobsReferenced in today's show: MCP is probably the first protocol in tech history with more builders than users… or at least that’s how it feels.Albania appoints world’s first AI-made ministerSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

    54 分鐘

  2. 9月16日

    Why enterprise AI lives or dies on applied research | Contextual AI’s Elizabeth Lingg

    What does it take to transform a brilliant AI model from a research paper into a product customers can rely on? We're joined by Elizabeth Lingg, Director of Applied Research at Contextual AI (the team behind RAG), to explore the immense challenge of bridging the gap between the lab and the real world. Drawing on her impressive career at Microsoft, Apple, and in the startup scene, Elizabeth details her journey from academic researcher to an industry leader shipping production AI.  Elizabeth shares her expert approach to measuring AI impact, emphasizing the need to correlate "inner loop" metrics like accuracy with "outer loop" metrics like customer satisfaction and the crucial "vibe check." Learn why specialized, grounded AI is essential for the enterprise and how using multiple, diverse metrics is the key to avoiding model bias and sycophancy. She provides a framework for how research and engineering teams can collaborate effectively to turn innovative ideas into robust products.  Check out: Register now: Closing the AI gap: Exceeding executive expectations for AI productivityFollow the hosts: Follow BenFollow AndrewFollow today's guest(s): Learn more about Contextual AI: Contextual.ai WebsiteFollow Contextual AI on Social Media: LinkedIn | X (formerly Twitter)Connect with Elizabeth: LinkedInReferenced in today's show: Throwing AI at Developers Won’t Fix Their ProblemsWhy language models hallucinatei ran Claude in a loop for three months, and it created a genz programming language called cursedSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

    54 分鐘

  3. 9月9日

    Your AI demo is a lie (and how to make it real) | Arcade’s Alex Salazar

    AI that talks is easy, but AI that acts securely is where everything breaks down. We're joined by Alex Salazar, CEO of Arcade, to confront the massive and often underestimated gap between a flashy AI demo and a production-ready system. Drawing from his team's own pivot from building agents to building the tools that secure them, he explains why a working demo is only 1% of the journey. Alex breaks down the four "demo killers" that cause most agent projects to fail: inconsistency, security flaws, prohibitive costs, and high latency. Alex reveals the counterintuitive solution his team discovered: the key to making non-deterministic AI reliable is to dial up determinism. Learn why giving an AI a constrained set of intention-based tools - like a calculator or a multiple-choice test - dramatically reduces errors and solves critical security challenges that plague open-ended systems. He explains why you can't just wrap existing APIs and must instead build custom, workflow-centric tools for your agents. This is an essential listen for anyone who wants to build AI that doesn't just talk, but acts securely on behalf of your users. Check out: Register now: Closing the AI gap: Exceeding executive expectations for AI productivityFollow the hosts: Follow BenFollow AndrewFollow today's guest(s): Learn more about Arcade: Arcade.devArcade's YouTube Channel: Watch examples and walkthroughs on building agentsConnect with Alex Salazar: LinkedInReferenced in today's show: Google avoids break-up but must share data with rivals Welcoming The Browser Company to Atlassian "~40% of daily code written at Coinbase is AI-generated. I want to get it to >50% by October." on X Crushing JIRA tickets is a party trick, not a path to impact  Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

    1 小時 2 分鐘

  4. 9月2日

    The future of the terminal is not a terminal | Warp’s Zach Lloyd

    For decades, the command line has been a developer's staple. But what if its future isn't to be a better terminal, but something else entirely?  We're joined by Zach Lloyd, co-founder of Warp, to discuss this groundbreaking shift in developer tooling, sharing his bold vision that the future for developers is neither the IDE nor the terminal, but a new kind of platform built for launching and orchestrating AI agents. Zach explains how Warp is re-imagining the command line as the natural entry point for this evolution, transforming it from a place where you type commands to a place where you write prompts to solve complex problems. Zach dives into the new developer workflow, where the focus moves up a layer of abstraction from the minutiae of flags and syntax to higher-level problem-solving and guiding agents. He argues that by being the platform itself—not just an app running within it—a tool like Warp can provide a far richer and more effective user experience than traditional CLI agents. Discover the new skills developers need in this era, from problem decomposition to clearly expressing intent in natural language. Check out: AI code review tools: 2025 evaluation guideFollow the hosts: Follow BenFollow AndrewFollow today's guest(s): Try Warp: warp.devWarp's YouTube Channel: Check out Zach's live streams and product videosConnect with Zach: LinkedIn | X (formerly Twitter)Connect with Brooke: LinkedInReferenced in today's show: Team OKRs in ActionIn the Age of AI, some tech leaders think communications degrees may actually be more valuable than computer science degreesThoughts on Motivation and My 40-Year CareerAI, Ads & the Fight for Attention: Infactory Featured in Ad AgeIntroducing pay per crawl: Enabling content owners to charge AI crawlers for accessSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

    58 分鐘

  5. 8月26日

    Forget vibe coding. Say hello to vibe entrepreneurship. | Shopify’s Andrew McNamara

    First, there was vibe coding. Now, get ready for "vibe entrepreneurship."  Andrew McNamara, Director of Applied Machine Learning at Shopify, joins us to explain how his team is making this new era of business a reality. He shares the vision behind Shopify Sidekick, an AI co-founder designed to empower merchants by acting as their on-demand e-commerce expert. Drawing on his 16-year journey building AI assistants, Andrew reveals what it truly takes to create an AI tool that customers can trust with their livelihood. He shares a critical insight from his applied research background: the hardest and most important part of building production-ready AI isn't the model, but the evaluation ("eval") system. Andrew breaks down Shopify's innovative approach of using an LLM-as-a-judge to measure how well they're fulfilling user goals, not just executing features. This conversation is a definitive guide to creating high-trust AI systems and offers a powerful glimpse into the future of commerce. Check out: Register now: Closing the AI gap: Exceeding executive expectations for AI productivityFollow the hosts: Follow BenFollow AndrewFollow today's guest(s): Follow Andrew on XFollow Andrew on LinkedInAndrew's Talk at ICMLLearn more about Shopify SidekickFollow Fatima on LinkedInReferenced in today's show: The Economics of Software Innovation“AI First” and the Bus Factor of 0GitLab 18.3 released with Duo Agent Platform in Visual Studio (Beta) and Embedded viewsSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

    43 分鐘

  6. 8月19日

    You can't have AI without DevOps | GitHub’s Martin Woodward

    The single biggest predictor of success with AI isn't the model you choose, it's the DevOps culture you've already built.  Martin Woodward, VP of Developer Relations at GitHub - and the sixth person to ever use Copilot - joins us to explain why this surprising insight is key to the new era of autonomous coding agents. He traces the evolution of GitHub Copilot from a simple autocomplete to a powerful agent that opens its own pull requests, arguing that AI's true power is as a massive accelerant for the iterative loops high-performing teams have already perfected. Martin explains that teams with strong guardrails for shipping quickly and safely are best equipped to leverage this AI revolution because they can trust the accelerated output. He also reveals how top teams use the key technique of custom instructions to guide Copilot toward writing the code of the future, not just mimicking the code of the past. This conversation uncovers how new agentic workflows are 'tricking' developers into improving their communication and documentation skills, providing a crucial look at the cultural foundations required to thrive in the AI-accelerated enterprise. Check out: AI code review tools: 2025 evaluation guideFollow the hosts: Follow BenFollow AndrewFollow today's guest(s): Martin's GitHub Galaxy Keynote: Watch "The AI-Accelerated Enterprise”GitHub Copilot:  Learn more about the tools and featuresGitHub Universe Conference: Look out for announcements for the upcoming conferenceConnect with Martin:  Martin's Social Media Hub (Martin.Social)Connect with Erika on LinkedIn Referenced in today's show: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.Auf Wiedersehen, GitHub ♥️I Tried Every Todo App and Ended Up With a .txt File[BUG] Claude says "You're absolutely right!" about everything · Issue #3382 Why MCP’s Disregard for 40 Years of RPC Best Practices Will Burn EnterprisesSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

    58 分鐘

  7. 8月12日

    The art of letting go as a manager | Transcend’s Minh Nguyen

    What's the hardest habit for a top engineer to unlearn in a leadership role?  For Minh Nguyen, VP of Engineering at Transcend, it was breaking the "I'll do it myself" mentality. In this episode, she shares her impressive journey from individual contributor to VP at the same high-growth startup, offering a rare and honest look at this challenging transition. Drawing on her background in philosophy, Minh details the hard-won lessons of reorienting from hands-on coding to high-impact leadership, from learning to delegate to setting a clear, communicable strategy. The conversation then shifts from personal growth to organizational design. Minh dives into the practicalities of scaling, revealing why Transcend structures teams around customer problems instead of technical stacks. She candidly discusses her experience pivoting away from a "catchall" platform team to a more effective, product-focused model. This episode is a deep dive for any leader on building a resilient, high-fidelity engineering culture that thrives under pressure, packed with invaluable insights for navigating the challenges of growth. Check out: The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts: Follow BenFollow AndrewFollow today's guest(s): Connect with Minh Nguyen on LinkedInLearn more about Transcend: Transcend.ioConnect with Jennifer Riggins on LinkedInReferenced in today's show: This Start-Up’s $20 Billion Sale Died. It Came Fighting Back.Perplexity is using stealth, undeclared crawlers to evade website no-crawl directivesIf you're remote, rambleAI promised efficiency. Instead, it’s making us work harder.Writing code was never the bottleneck!Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

    43 分鐘

  8. 8月5日

    AI agents are knocking. Is your API ready to answer? | GraphQL’s Matt DeBergalis

    The rise of AI agents is more than a tooling upgrade - it's a fundamental rewiring of the entire developer experience, with your APIs at the very center.  We're joined by Matt DeBergalis, co-founder and then-CTO-now-CEO (congrats Matt!) of Apollo GraphQL, to explore this massive transformation. He introduces the emerging concept of "agent experience," explaining why systems built for human developers are not ready for the unprecedented scale of AI calling APIs. Matt argues that as the old rules of software development get re-evaluated, engineering leaders must rethink their entire stack. He presents a powerful analogy: a structured data layer like a graph is the perfect "left brain" for the "right brain" creativity of LLMs. This provides the semantic precision and guardrails needed for AI to act reliably, enabling a future where user experiences are personalized "to 11" and APIs become the core business asset. This conversation is a crucial guide for leaders on how to prepare by prioritizing higher-level system design, and why clear communication and architecture are becoming far more critical than handwriting code. Check out: The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts: Follow BenFollow AndrewFollow today's guest(s): Explore Apollo GraphQL's graph infrastructure and MCP tooling: ApolloDevConnect with Matt on LinkedInConnect with Andrew Boyagi on LinkedInReferenced in today's show: Anthropic caps Claude Code usageOpenAI introduces study modeReady or not, age verification is rolling out across the internetAtlassian research: AI adoption is rising, but friction persistsSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

    59 分鐘
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4.8
（滿分 5 顆星）
145 則評分

簡介

Dev Interrupted is the go-to podcast for software engineering leadership. Each week, hosts Andrew Zigler, Ben Lloyd Pearson, and Dan Lines sit down with industry experts to explore the strategies, struggles, and stories behind high-performing software teams. Paired with weekly industry news coverage, the conversations dive deep into the real challenges that define excellence in modern tech.

資訊

  • 創作者
    LinearB
  • 活躍年代
    2020年 - 2025年
  • 集數
    244
  • 年齡分級
    兒少不宜
  • 版權
    © 2025 Dev Interrupted
  • 節目網站
    Dev Interrupted

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