Google DeepMind's AI playbook for engineering at hyperspeed | Philipp Schmid
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.Check out:Download: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest: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: 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
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50:27
AI is the future of the SDLC
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. Check out:The DevEx guide to AI-driven software developmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewReferenced in today's show: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: 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
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35:44
Now is the time to rethink engineering productivity
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.Check out:Register for Beyond Copilot: What’s Next for AI in Software DevelopmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewReferenced in today's show: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: 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
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The Odyssey of Innovation: Classics, Code, and Cognitive Load | Two Sigma's Matt Greenwood
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.Check out:Beyond Copilot: What’s Next for AI in Software DevelopmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):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: 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
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52:52
Redefining Ambition After Burnout | Zapier’s Kelly Vaughn
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.Check out:AI Code Reviews: Automate AI code reviews for every PRSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):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: 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
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.
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