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If you're still building products only for humans, you're already missing out on a massive new customer base: AI agents.
Joining Dev Interrupted is Andrew Hamilton, co-founder and CTO of Layer (a first-of-it’s kind MCP agency) to unravel this monumental shift in how products will be discovered and consumed. He dives into how AI agents are rapidly evolving from developer tools to direct consumers of APIs and products, with new standards like the MCP spearheading this transformation by effectively creating an "app store for LLMs." This evolution demands a complete rethink of product design, packaging, and user experience for an entirely new kind of user.
Andrew educates us about how successfully leveraging MCP isn't about a simple one-to-one API mapping, but about thoughtfully designing an "agent experience" based on key user workflows and providing pre-packaged capabilities. He shares insights on identifying good MCP candidates, the importance of experimentation in this fast-moving space, and how tools like Layer are defining the frontier of agent-accessible tooling.
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The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven developmentFollow the hosts:
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LinkedIn: Andrew HamiltonLearn more about Layer: buildwithlayer.comReferenced in today's show:
Google Cloud donates A2A to Linux FoundationGemini CLI: your open-source AI agent Meta poaches OpenAI researchersAirtable as the AI-native appSupport the show:
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What if creating a professional video for your business was as simple as a single click?
We're joined by Kabir Bedi, Head of Product for Image and Video Generation at Amazon Ads, to discuss how generative AI is making that a reality. He provides an inside look at Amazon's mission to democratize video advertising, empowering everyone from mom-and-pop shops to large enterprises with their innovative video generator that evolved from simply showing products to showcasing them in realistic, multi-scene lifestyle settings.
Kabir shares key insights into the engineering culture that powers this innovation, built on deep customer obsession and a dynamic, experimental mindset. He explains why bringing the entire team—including engineers and scientists—into direct conversations with users was a game-changer for their development process. Plus, listen as Kabir explains why a "learn and be curious" mindset is the key to thriving in this new landscape of AI-driven product development.
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The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven developmentFollow the hosts:
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Follow Kabir on LinkedInLearn more on the About Amazon Blog and the Amazon Ads BlogReferenced in today's show:
Meta's $100M poaching project“Real strength is not in poaching rather it’s in growing, retaining and respecting the people you already have.” -Mohit Malik“Localhost tracking” explained. It could cost Meta 32 billion.Cursor’s Bold Hiring Playbook: No AI in Interviews, Just Real Projects and Real PeopleWriting Toy Software Is A JoySupport the show:
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What if the traditional engineering career path is being fundamentally rewritten by AI?
We're joined by Philipp Schmid, Senior AI Developer Relations Engineer at Google DeepMind, to explore how artificial intelligence is not just a tool, but a force reshaping engineering roles, team dynamics, and the foundational methods of skill development. Philipp, with his background at Hugging Face and now at the cutting edge with Google DeepMind, offers a unique perspective on the rise of AI-native teams and engineers who learn faster, work more broadly, and drive innovation at an unprecedented scale.
Philipp offers an inside look at Google DeepMind's engine of AI innovation and breaks down the key differences between Google's flagship Gemini models and the versatile Gemma family of open models, detailing their distinct purposes.We also touch upon exciting takeaways from the recent Google I/O event, including powerful new on-device capabilities and the mind-blowing text-to-video generation with Veo.
Finally, Philipp shares practical advice for engineers and their organizations on navigating this AI-driven landscape, emphasizing continuous learning, an adaptable mindset, and how to effectively leverage a diverse AI toolkit to thrive.
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Download: The 6 trends shaping the future of AI-driven developmentFollow the hosts:
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Twitter: @philschmidLinkedInGitHub (philschmid)Learn more about Google DeepMind's models: Google AI StudioReferenced in today's show:
OpenAI's latest partner: Mattel | LinkedIn I Read All Of Cloudflare's Claude-Generated Commits AI coding assistants aren’t really making devs feel more productive - LeadDev Congratulations on creating the one billionth repository on GitHubSupport the show:
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Imagine saving as much as 75 days of work within a six-month period, all through intelligent automation.
Building on last week’s discussion about the critical shift from passive metrics to active productivity, host Ben Lloyd Pearson and LinearB co-founder Dan Lines now look forward to realities like this: 19% cycle time reduction and reclaiming significant engineering time. They move beyond common narratives surrounding AI to present actionable success stories and strategic approaches for engineering leaders seeking tangible results from their AI initiatives.
This concluding episode tackles how to safely and effectively adopt AI across your software development lifecycle. Dan explains the necessity of programmatic rules and control, detailing how LinearB's gitStream technology empowers teams to define precisely when, where, and for whom AI operates. This ranges from AI-assisted code reviews with human oversight for critical services, to enabling senior developers to make judgment calls, and even automating merges for low-risk changes. Ben and Dan also explore the exciting future of agentic AI workflows, where AI agents could manage tasks from design and Jira story creation to coding and deployment, making developer control even more critical.
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The DevEx guide to AI-driven software developmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:
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The Pentagon launched a military-grade Y Combinator, signaling that defense tech is officially cool on college campusesJapan Post launches 'digital address' systemReddit sues Anthropic for scrapingMy AI Skeptic Friends Are All NutsSupport the show:
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Are your teams feeling the intense pressure to "produce more" in an era increasingly dominated by AI?
Join hosts Ben Lloyd Pearson and Dan Lines as they unpack a major shift in how engineering organizations must now approach productivity. Dan reveals the urgent challenges he hears directly from CTOs and VPs, who are grappling with how to define their AI strategy for genuine productivity gain, accurately measure its true impact, and understand the resulting implications for their workforce.
In this episode, Ben and Dan explore why traditional software engineering intelligence (simply having metrics and information) is no longer sufficient in 2025. Together, they explore productivity's nuanced meaning and discover how organizations can shift from passive data observation to an active improvement mindset, and get a look at what defines a developer productivity insights platform.
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Register for Beyond Copilot: What’s Next for AI in Software DevelopmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:
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Why Your AI Coding Assistant Keeps Doing It Wrong, and How To Fix ItAs a developer, my most important tools are a pen and a notebookThe problem with shadow developmentSupport the show:
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What can ancient languages and epic poems teach us about building resilient tech and future-proof teams?
Host Andrew Zigler welcomes Matt Greenwood, Chief Innovation Officer of Two Sigma, for a conversation that uniquely blends their shared background in classical languages with over two decades of Matt’s experience at the forefront of financial technology. Matt unveils how this classical training has profoundly shaped his approach to building enduring innovation, fostering a resilient company culture, and leading with empathy.
Matt explains his vision for building and evolving innovation via platforms, alongside his strategies for effective goal-setting and fostering deep conceptual understanding in his team. He offers invaluable lessons on the importance of forgiving the decisions of our past selves, adapting processes for evolving needs, and thoughtfully engaging with AI to augment human creativity. This conversation is a masterclass in strategic foresight, cultivating a constant hunger for learning, and building an adaptable organization ready for whatever the future holds.
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Beyond Copilot: What’s Next for AI in Software DevelopmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:
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Website: twosigma.comLinkedIn: Matt GreenwoodReferenced in today's show:
Google I/OMicrosoft BuildCode with ClaudeJava at 30: The Genius Behind the Code That Changed TechSupport the show:
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What happens when the person trained to spot burnout becomes its next victim?
Kelly Vaughn is a Senior Engineering Manager at Zapier, the author of the After Burnout Substack, and a trained therapist. She joins hosts Ben and Andrew to share her incredibly candid journey of discovering burnout in herself. Kelly reveals how she (despite her professional understanding of burnout's mechanisms) found herself deep in its grip, recounting the slow realizations like dwindling passion, increasing cynicism, and distinct physical tolls like disrupted sleep and a loss of hunger cues.
This raw conversation offers vital lessons for anyone in a high-pressure career (and let’s face it: that’s all of us!). As the tech landscape accelerates with AI, Kelly shares insights on managing its pressures and opportunities. She redefines ambitions for herself alongside the non-negotiables she established for her own well-being when seeking her new role. Listeners will gain powerful insights into identifying their own limits, the courage for pivotal changes, and integrating new demands without self-sacrifice.
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AI Code Reviews: Automate AI code reviews for every PRSurvey: Discover Your AI Collaboration StyleFollow the hosts:
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Personal Website: kvlly.com"After Burnout" Newsletter: afterburnout.co"The Modern Leader" Newsletter: modernleader.isKelly’s Article: On burnout, quitting, and redefining what mattersReferenced in today's show:
The FAA has resorted to buying parts on eBay because its equipment is so old, Transportation Secretary Sean Duffy says 2025-05-11 air traffic controlDOGE Is in Its AI EraIRS hopes to replace fired enforcement workers with AI Microsoft lays off about 3% of its workforce in what one executive calls a ‘day with a loSupport the show:
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Still stuck in a reactive loop with incident response, only fixing problems after they happen?
JJ Tang, Co-founder and CEO of Rootly, joins host Andrew Zigler to reveal how to shift beyond reactive, leveraging powerful AI and an often-underestimated skill in engineering: genuine customer empathy. Discover how these elements are crucial for navigating the complexities of modern infrastructure and shaping the future of incident management.
JJ explores the forefront of incident response automation, discussing how to integrate shiny new tech like AI safely and why deep customer understanding is key to building trust and reliability. Learn about the common pitfalls leaders face, the cultural shifts needed for proactive reliability, and how teams can make our digital world safer.
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Beyond Copilot: What’s Next for AI in Software DevelopmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:
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LinkedIn: JJ TangWebsite: rootly.comReferenced in today's show:
OpenAI agrees to buy Windsurf for about $3 billion, Bloomberg News reportsAmazon launches first Kuiper internet satellites, taking on StarlinkAvoiding Skill Atrophy in the Age of AIWhy developers and their bosses disagree over generative AISupport the show:
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Is front-end vs. back-end an antiquated way to structure engineering teams? With AI augmenting skills, a new model is emerging: the product engineer.
This week, Andrew sits down with Lee Robinson, VP of Product at Vercel to crack open the future of the web. As a respected educator and voice in the webdev community (check out his YouTube!), Lee shares his unique perspective on building both cutting-edge tools and high-performing teams.
As the VP of Product, Lee charts the evolution of developer roles and illustrates for us the rise of "product engineers" who own features end-to-end. Learn how AI tools are not just augmenting specialists but enabling designers, PMs, and founders to build "personal software." We also cover changing team dynamics and get Lee's advice on navigating the hiring process in the AI era, including: why personalization is key for candidates, how managers can spot authenticity (hint: AI-generated cover letters are obvious!), and why building in public is critical for career growth today.
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Beyond Copilot: What’s Next for AI in Software DevelopmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:
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Website: leerob.comYouTube: @leerobLinkedIn: Lee RobinsonVercel: vercel.comNext.js: nextjs.orgv0 by Vercel: v0.devReferenced in today's show:
This week in social, we noticed: AIDuolingo has an AI mandate tooGoogle Just Launched an AI-Powered Duolingo AlternativeIntel CEO announces layoffs, restructuring, $1.5 billion in cost reductions, expanded return to office mandate | Tom's HardwareSupport the show:
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We've spent decades teaching ourselves to communicate with computers via text and clicks. Now, computers are learning to perceive the world like us: through sight and sound. What happens when software needs to sense, interpret, and act in real-time using voice and vision?
This week, Andrew sits down with Russ d'Sa, Co-founder and CEO of LiveKit, whose technology acts as the crucial infrastructure enabling machines to interact using real-time voice and vision, impacting everything from ChatGPT to critical 911 responses.
Explore the transition from text-based protocols to rich, real-time data streams. Russ discusses LiveKit's role in this evolution, the profound implications of AI gaining sensory input, the trajectory from co-pilots to agents, and the unique hurdles engineers face when building for a world beyond simple text transfers.
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AI Code Reviews: An Engineering Leader’s Survival GuideSurvey: Discover Your AI Collaboration StyleFollow the hosts:
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Website: livekit.ioGitHub: github.com/livekitX: x.com/livekitRuss: x.com/dsaReferenced in today's show:
The Rise of Slopsquatting: How AI Hallucinations Are Fueling a New Class of Supply Chain AttacksHas the VSCode C/C++ Extension been blocked?OpenAI tells judge it would buy Chrome from GoogleChain-of-Vibes | Pete Hodgson Seattle crosswalk signals with deepfake Bezos audio may have been hacked with just a cellphoneSupport the show:
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Think building killer APIs like Stripe or Twilio is purely a technical feat? Think again.
This week, we dive into why crafting successful APIs is fundamentally an organizational challenge, demanding internal excellence long before code is deployed. Sagar Batchu, co-founder and CEO of Speakeasy, joins us to unpack the crucial role of ownership, design principles, and why even internal APIs benefit from treating them like first-class products. Discover how Conway's Law dictates your API's fate and why achieving that coveted developer experience starts with your company's structure.
Getting these foundations right is more critical than ever, as the landscape now faces a dramatic shift with the rise of LLMs and agentic AI. This potentially multiplies API usage and introduces the concept of "Agent Experience" (AX), demanding even greater rigor around clear standards, documentation, and metrics like "Time to First 200." Sagar also explores the emerging Model Context Protocol (MCP) and explains why focusing on developer productivity today prepares you for the AI-driven future of tomorrow.
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AI Features Demo: The Future of Productivity Is AI-DrivenSurvey: Discover Your AI Collaboration StyleFollow the hosts:
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Website: speakeasy.comLinkedIn: SpeakeasyX: @speakeasydevReferenced in today's show:
It costs nothing to be polite unless you're talking to ChatGPT - then it costs tens of millionsAnnouncing the Agent2Agent Protocol (A2A) - Google Developers Blog A Deep Dive Into MCP and the Future of AI ToolingSupport the show:
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When it comes to securing software, most developers feel like they're playing catch-up instead of setting the rules.
Tanya Janca (SheHacksPurple), author of "Alice and Bob Learn Secure Coding," brings her 28 years of IT and security expertise—spanning counter-terrorism to enterprise training—to Dev Interrupted. She unpacks the common pitfalls teams face when security is treated as an afterthought, highlighting the developer frustration of being held accountable for security without the tools or knowledge needed to succeed.
Explore how transforming security from a final gate into an ongoing practice saves money, reduces conflict, and builds better software through clear requirements and true developer empowerment. Tanya provides concrete advice for developers and leaders on creating internal knowledge libraries, fostering continuous learning habits, and critically evaluating AI-generated code to ensure it meets security standards.
Speaking of AI's growing role, we're curious how it's reshaping workflows across the industry. Share your own experiences with AI adoption by taking our quick survey to discover your spot on the adoption graph (and what you can do to level up).
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Beyond Copilot: Gaining the AI AdvantageSurvey: Discover Your AI Collaboration StyleFollow the hosts:
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Website: SheHacksPurpleLinkedIn: Tanya JancaBook: Alice and Bob Learn Secure CodingReferenced in today's show:
Shopify CEO says staffers need to prove jobs can’t be done by AI before asking for more headcountAnthropic flips the script on AI in education: Claude’s Learning Mode makes students do the thinkingCelebrate 50 years of Microsoft with the company's original source codeSupport the show:
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Is your company rushing headlong into AI, only to find it's a 'square peg in a round hole'?
This week, Andrew tackles the critical issue of building trust in AI systems with Brooke Hartley Moy, CEO and co-founder of Infactory.
Brooke, with her experience at companies like Google and Samsung, cuts through the hype and reveals the biggest misconceptions businesses have about AI. We dive into the 'black box' problem, the importance of high-quality data, and why not all AI is created equal.
From seating Matthew McConaughey in the rain to high-stakes medical decisions, we explore the crucial role of domain expertise and the need to move beyond LLM-centric thinking. If you're an engineering leader grappling with AI implementation, this episode is your essential guide to building trustworthy and impactful AI systems.
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The Future of Productivity Is AI-DrivenFollow the hosts:
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infactory.aiBrooke Hartley MoyReferenced in today's show:
OpenAI declares AI race “over” if training on copyrighted works isn’t fair useExploring Generative AI - Birgitta BöckelerAI is "tearing apart" companies, survey findsSupport the show:
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AI is evolving at a breakneck speed, leaving engineering leaders with a critical dilemma: innovate or fall behind. But how do you experiment with AI without risking your credibility?
Andrew Zigler sits down with Adnan Ijaz, Director of Product Management for Next Gen Developer Experience at AWS, to unpack the power of AI agents. Together they discuss how to leverage autonomous AI in your development workflow, and learn from real-world examples like Amazon Q.
Dive into the evolving role of the developer and discover how to mentor your AI, not just use it. It's time to shift from task-oriented coding to strategic architecture, and this episode shows you how.
But first, co-host Dan Lines frames the conversation by discussing the shift towards measuring the concrete benefits of AI tools in development, rather than just their potential. Dan also provides examples of how to set realistic expectations for AI implementation by focusing on specific tasks and measuring both individual and workflow improvements, highlighting the need for overall workflow optimization.
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Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:
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Adnan IjazAmazon Q DeveloperSupport the show:
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Imagine a world where your engineering team ships features at lightning speed, and they're genuinely happy doing it. Sounds like a fantasy? It doesn't have to be.
This week, we're diving into the secrets of building high-performing, happy engineering teams with Thanos Diacakis, a fractional CTO and engineering coach with over 25 years of experience spanning companies like Uber, where he optimizes software engineering teams and drives technical innovation.
Thanos reveals the common mental models that hold teams back, why 'technical debt' is a myth, and how to break free from the 'feature factory' mindset. Together, he and Andrew explore practical strategies for achieving engineering excellence, from mastering iterations to managing complexity, and discover how to build a culture where velocity and happiness go hand in hand.
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Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:
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Thanos Diacakiswww.cosmicteacups.comReferenced in today's show:
FOSS infrastructure is under attack by AI companiesProgramming is dying. Software development is booming.1 in 3 Americans say they have layoff anxietySupport the show:
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The promise of Test Driven Development (or TDD) remains unfulfilled. Like many other forms of aspirational development, the practice has fallen victim to countless buzzword cycles. What if the answer is already in our toolbox?
This week, host Andrew Zigler sits down with Animesh Mishra, Senior Solutions Engineer at Diffblue, to unpack the gap between TDD's theoretical appeal and its practical challenges.
Animesh draws from his extensive experience to explain how deterministic AI can address the key challenges of building trust in AI for testing. These aren’t LLMs of today, but foundational machine learning models that can evaluate all possible branches of a piece of code to write test coverage for it. Imagine writing two years worth of tests for a legacy codebase… in two hours… with no errors!
If you enjoyed this conversation about the gaps between theory and execution in engineering culture, be sure to check out last week's chat with David Mytton about shift left adoption by engineering teams.
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Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:
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www.diffblue.comX: diffbluehqLinkedIn: DiffblueAnimesh MishraSupport the show:
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If you're tired of hearing "shift left" in DevSecOps and seeing little real change, you're not alone.
In this episode, David Mytton (CEO of ArcJet, founder of Console.dev) breaks down why traditional approaches to developer security often fail. He reveals the core conflict between developers (who want to build fast) and security teams (who want to mitigate risk), and explains why this misalignment of incentives can be detrimental for your software. Learn why simply handing devs more security tools isn't enough.
David shares his insights from years of experience reviewing developer tools and building security products. He discusses the importance of developer-centric design, the power of the right incentives, and the need for security solutions that seamlessly integrate into the developer workflow. Plus, he reveals the secrets to successful developer marketing and why traditional approaches often backfire.
Tune in to discover how to foster a security-conscious culture within your engineering team, without stifling innovation or creating unnecessary friction. Learn how to empower developers to build secure software by design, and discover the tools and strategies that are shaping the future of DevSecOps.
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Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:
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console.devarcjet.comSupport the show:
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This week, Andrew Zigler sits down with Dr. Maryam Ashoori, Senior Director of Product Management for watsonx at IBM. Together they discuss the evolving AI stack for enterprise and the growing skill gap challenging developers. Dr. Ashoori shares insights from a recent survey of 1,000 developers, highlighting the need for better tools and strategies to manage the growing AI tool sprawl.
The conversation also explores the rise of AI agents, the potential of no-code AI development, and the future of software engineering in an AI-powered world.
But first, co-host Dan Lines (COO of LinearB) sets the stakes for engineering leaders everywhere: the future of technical work will evolve with agentic capabilities. Must we all become “AI managers” now?Check out:
2025 Software Engineering Benchmarks ReportBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:
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Maryam Ashooriwatsonx.aiSupport the show:
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This week, Ben and Andrew dive into the (surprisingly?) complex world of calculator apps, analyze how AI is revolutionizing the technical interview, and dissect the emerging “two-tier” economy around AI. What side of the curve does your org fall on?
Then, the conversation goes on site to San Francisco, where host Dan Lines hosts Rob Zuber (CTO, CircleCI) and Tara Hernandez (VP of Dev Productivity at MongoDB) for a discussion of LinearB's 2025 Software Engineering Benchmarks Report.
We unpack the report's surprising findings on the PR lifecycle, project management hygiene, DORA metrics, code quality, and predictability, with key takeaways for optimizing your engineering team's performance.
Be sure to grab your copy of the report to follow along with Dan, Rob & Tara.Check out:
2025 Software Engineering Benchmarks ReportBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:
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Rob ZuberTara HernandezReferenced in today's show:
"A calculator app? Anyone could make that."‘Two-tier’ AI economy is emerging between startups and corporations, with large organizations falling behind, AWS EMEA chief saysAI Killed The Tech Interview. Now What? | Kane Narraway New Junior Developers Can’t Actually CodeSupport the show:
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Ben and Andrew open the show by dissecting why AI can't see gorillas, how big banks are stepping up to attract tech talent, and why focus is becoming the must-have resource for devs.
Then, Vikram Chatterji, co-founder and CEO of Galileo, joins Andrew for a discussion on how engineering leaders can future-proof their AI strategy and navigate an emerging dilemma: the pressure to adopt AI to stay competitive, while justifying AI spend and avoiding risky investments.
To accomplish this, Vikram emphasizes the importance of establishing clear evaluation frameworks, prioritizing AI use cases based on business needs and understanding your company's unique cultural context when deploying AI.
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8 Habits of Highly Productive Engineering TeamsBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamBook a demoFollow the hosts:
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Vikram ChatterjiReferenced in today's show:
Your AI can’t see gorillasHow banks caught up in the battle for developer talentThe skill of the future is not 'AI', but 'Focus'Support the show:
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Learn about Continuous Merge with gitStream Get your DORA Metrics free forever - Daha fazla göster
