Dev Interrupted

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

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

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

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.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):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: 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

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.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: leerob.comYouTube: @leerobLinkedIn: Lee RobinsonVercel: vercel.comNext.js: nextjs.orgv0 by Vercel: v0.dev Referenced 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: 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

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.Check out:AI Code Reviews: An Engineering Leader's Survival GuideSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):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 cellphone 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

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.Check out:AI Features Demo: The Future of Productivity Is AI-DrivenSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):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: 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

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).Check out:Beyond Copilot: Gaining the AI AdvantageSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):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: 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

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.Check out:The Future of Productivity Is AI-DrivenFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):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: 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

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.Check out:Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Adnan IjazAmazon Q DeveloperSupport 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

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. Check out:Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):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: 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

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.Check out:Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):www.diffblue.comX: diffbluehqLinkedIn: DiffblueAnimesh MishraSupport 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

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.Check out:Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):console.devarcjet.comSupport 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

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:Follow BenFollow AndrewFollow today's guest(s):Maryam Ashooriwatsonx.aiSupport 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

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:Follow BenFollow AndrewFollow today's guest(s):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: 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

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.Check out:8 Habits of Highly Productive Engineering TeamsBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamBook a demoFollow the hosts:Follow BenFollow AndrewFollow today's guest: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: 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

Live from San Francisco, Dev Interrupted explores the future of developer productivity with Ori Keren (CEO, LinearB) and Dharmesh Thakker (General Partner, Battery Ventures). The conversation, recorded before a live audience in San Francisco, examines the exciting possibilities and potential challenges of AI-powered tools, from code completion and review to the more advanced agentic AI.  Moderated by Ben Lloyd Pearson, this episode captures the excitement of the event, including audience Q&A and feedback. Ori and Dharmesh share their insights on how these trends will shape the future of software development over the next 12 to 24 months, offering predictions and practical advice for engineering teams and leaders. Discover how these shifts will impact your work and the broader tech industry.Show Notes:8 Habits of Highly Productive Engineering TeamsBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamBook a demoFollow the hosts:Follow BenFollow AndrewFollow today's guest:Follow Dharmesh ThakkerReferenced in today's show:OpenAI CEO Sam Altman Says They've 'Been on the Wrong Side of HistorySoftware development topics I've changed my mind on after 10 years in the industryChat is a bad UI pattern for development toolsNASA is going to do a Twitch stream from the ISSSupport 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

To open the show, Ben and Andrew dive into the latest headlines about DeepSeek from last week. We answer questions like “why did everyone search ‘Jevons paradox'?” and discuss strategic AI investments from financial giants like Goldman Sachs. These moves underscore the growing importance of strong engineering leadership in the age of AI.Then, Luca Rossi of Refactoring joins us to discuss his latest research. Drawing from a comprehensive survey of engineering professionals (thanks to you!), Luca breaks down the key traits and practices of successful engineering teams, revealing surprising correlations between team happiness, shipping frequency, and recognition by non-technical leadership.Be sure to grab your copy of the report to follow along with today's insights.Show Notes:Dev Interrupted SurveyBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamBook a demoFollow the hosts:Follow BenFollow AndrewFollow today's guest:Follow LucaReferenced in today's show:IBM cashing in on AIAI Stocks: How DeepSeek Changed Views On U.S.-China Artificial Intelligence Competition | Investor's Business DailyWilliam Stanley JevonsGoldman Sachs hires Amazon exec in senior AI engineering role | ReutersSupport 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

Ben and Andrew open the show by discussing the emergence of the DeepSeek AI model, Google's shakeup of the SEO landscape, and speculate on whether or not we're seeing the death of free APIs.Then, Ben sits down with Bernd Ruecker, Co-Founder and Chief Technologist at Camunda, to explore how low code solutions are changing the game for developers. They discuss how these tools allow developers to focus on more complex challenges, and delve into the importance of understanding when to leverage low code versus custom solutions, and the evolving role of developers in a world increasingly driven by automation.Finally, do us a favor and fill out the Dev Interrupted listener survey! You'll be our best friend forever :-)Show Notes:Dev Interrupted SurveyBeyond the DORA Frameworks Workshop (Jan. 29, 30)Follow BenFollow AndrewFollow BerndLearn more at: camunda.comCamundacon 2025Support 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

Want to ship better software? Get in the fast lane.This week, hosts Ben Lloyd Pearson and Andrew Ziegler open the episode with a discussion of some of the tech topics dominating the news cycle like Microsoft's restructuring to focus on AI, a potential TikTok ban in the U.S. and a status check on New Year's resolutions. Then, joined by Dan Lines, they shift their focus to the 2025 Engineering Benchmarks Report by LinearB. This in-depth conversation explores the crucial link between developer experience and productivity, the impact of project management hygiene on development, and new metrics like PR maturity and project traceability.Within this data-driven discussion, uncover key insights on how smaller PRs boost velocity and quality, the connection between longer cycle times and increased change failure rates, and the ideal investment profiles for engineering teams.Show Notes:Beyond the DORA Frameworks Workshop (Jan. 29, 30)2025 Engineering BenchmarksWatch Rob Zuber (CircleCI) & Tara Hernandez (MongoDB) explore insights from the 2025 Engineering Benchmarks ReportFollow BenFollow AndrewSupport 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

Is your company relying on surveys alone to bridge the gap between developers and managers?  In this episode of Dev Interrupted, host Ben Lloyd Pearson and Dan Lines, COO of LinearB, dive into the perceived misalignment between engineers and their leaders on improving developer experience. Together, they emphasize the importance of data-driven insights over relying solely on surveys, highlighting how quantifiable metrics can illuminate issues like technical debt and build times.  The conversation also touches on the power of setting clear, company-wide goals to boost developer experience and productivity.Next, Conor Bronsdon, in his final episode as host, sits down with Andrew Boyagi, Atlassian's head of DevOps Evangelism. Andrew brings a wealth of knowledge on developer experience, emphasizing the need for transparency, the nuances of measuring productivity, and the crucial role of company culture in aligning development teams with business goals.Show Notes:Beyond the DORA Frameworks Workshop (Jan. 29, 30)2025 Engineering BenchmarksFollow BenFollow ConorFollow AtlassianSupport 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

How do you build a culture that balances operational excellence with developer happiness? By shifting from firefighting to foresight.Kick off Season 5 of Dev Interrupted with hosts Ben Lloyd Pearson, Andrew Zigler, and Dan Lines as they share their New Year's resolutions and welcome Sowmya Subramanian, whose leadership journey spans Google, YouTube, and Oracle, to the show. From redefining metrics like DORA to adapting processes like Fix-It Weeks, Soumya discusses dismantling the “hero” mindset that rewards firefighting, aligning engineering with business priorities, and creating rituals that scale teams without sacrificing creativity.Tune in to learn how Sowmya's holistic approach to metrics, culture, and tooling creates resilient teams and products that scale without breaking a sweat.Show Notes:Beyond the DORA Frameworks Workshop (Jan. 29, 30)2025 Engineering BenchmarksFollow SowmyaFollow BenFollow AndrewSupport 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

It's the end of an era on Dev Interrupted as we say farewell to host Conor Bronsdon and welcome a fresh voice, Andrew Zigler!Join us for a nostalgic trip down memory lane as Conor revisits his favorite interviews and moments from Season 4 and beyond, including discussions on chaos engineering, technical debt, and the human side of managing software engineers. He shares memorable stories from guests like Charity Majors, Rob Zuber, Kelly Vaughn, and many more, while reflecting on the evolution of Dev Interrupted and its impact on the engineering leadership community.But it's not all bittersweet. Get an exclusive sneak peek at the exciting changes coming to Dev Interrupted in 2025. Expect the show to double down on research and data, explore new formats, and even hit the road with live events. Plus, the Dev Interrupted Substack will feature more frequent newsletters, unique analysis of research white papers, and insights from guest writers. You don't want to miss this special episode filled with laughter, reflection, and a surprise holiday-themed game of Would You Rather. The team is taking off the holidays but we'll see you back here on January 7th for the start of Season 5!Show Notes:2025 Engineering Benchmarks Insights WebinarKeep up with Conor: SubstackListen to Conor at: Chain of Thought PodcastSupport 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

2025 will test every assumption about how engineering teams work.With the new year fast approaching Ori Keren, CEO of LinearB, has some bold predictions that might surprise you, like why developer productivity could actually go down in 2025.Yep, you read that right.As AI tools flood the market, we might see a dip in both productivity and creativity before the long-term benefits kick in. It's a wake-up call for engineering leaders to rethink how they lead their teams.Ori dives into the trends that'll dominate:- AI's rise- The ever-growing need for cybersecurity- Why DevEx and developer productivity are heading for a showdownHis advice? Stop flying blind. “You can't optimize what you don't measure,” he says.If you're leading an engineering org, this episode is your 2025 game plan: a mix of data-driven decision-making and people-first strategies to stay ahead in a year of change. Don't miss this insightful fusion of qual and quant.Show Notes:Join us at Dev Interrupted Live!2025 Engineering Benchmarks Insights WebinarFollow OriFollow BenFollow AndrewSupport 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

What's the secret to building better products? Letting engineers drive the vision.This week, host Ben Lloyd Pearson interviews Austin Spiegel, co-founder and CTO of Sift Stack, who previously spent years leading engineering teams at SpaceX. Austin reveals how SpaceX's unique engineering culture, which eliminated the product management layer,  influenced his approach to building Sift Stack, including the implementation of a forward-deployed engineering team.Learn how this approach leads to faster development cycles, happier customers, and more innovative products. Austin also argues that we're entering a new era where the most valuable engineers aren't just skilled coders, but also savvy business thinkers. He believes that as software development becomes easier due to the proliferation of AI, engineers who can connect their technical expertise with a deep understanding of customer needs and market trends will have a significant competitive advantage.Show Notes:2025 Engineering Benchmarks Insights WebinarRead The secret to better products? Let engineers drive visionFollow Sift Stack on LinkedInSupport 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

Most developers (ourselves included) want to run for the hills when they hear the words “engineering process.” But it turns out, the biggest danger to your team may not be having enough process.You don't have to take our word for it. This week's guest made a believer out of us and we're willing to bet she'll make a believer out of you too. Julianna Lamb, co-founder and CTO of Stytch, understands that engineering processes can be a sensitive subject for developers. But she argues that the right amount of process can actually boost your team's velocity and empower them to take ownership. Julianna shares insights on how to right-size processes for teams, implement effective project life cycles, and address friction points to ensure smooth workflows.Show Notes:Refactoring x Dev Interrupted SurveyLearn more about StytchJulianna's LinkedInJulianna's TwitterSupport 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

This week, Dev Interrupted dives into the 2024 Stack Overflow Developer Survey, revealing a surprising statistic: only 1 in 5 developers are happy in their jobs. Stack Overflow's Senior Analyst of Market Research and Insights, Erin Yepis, joins host Ben Lloyd Pearson to discuss the survey's findings and explore the reasons behind this widespread dissatisfaction. From salary woes and workplace settings to the ever-present burden of technical debt, they dissect the factors impacting developer happiness.Later, Dan Lines offers his perspective, drawing on LinearB's data to pinpoint three key challenges to developer satisfaction. He also shares valuable strategies for tackling technical debt, a growing concern as more companies transform into software-driven businesses.Show Notes:2025 Engineering Benchmarks Insights WebinarRefactoring x Dev Interrupted Survey2024 Stack Overflow Developer SurveyCheck out Erin's blogSupport 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

There's AI agents. There's AI tooling. Do either drive business impact or are they just more things your dev team is supposed to stay on top of?Birgitta Boeckeler, Global Lead for AI Assisted Software Delivery at ThoughtWorks, joins the show to discuss the practical applications of AI in software delivery. She shares her research on AI agents, highlights areas where AI hasn't lived up to the hype, and offers concrete examples of useful AI tools for development teams.Dan Lines then joins the conversation to provide his perspective on how engineering leaders can leverage these insights to effectively implement AI within their own teams. He also discusses LinearB's efforts in helping software teams measure the business impact of AI.Show Notes:2025 Engineering Benchmarks Insights WebinarRefactoring x Dev Interrupted SurveyBirgitta's LinkedInBirgitta's websiteMartin Fowler MemosSupport 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

Open source has transformed software development, but can it do the same for AI?In this episode of Dev Interrupted, Conor Bronsdon talks with Scott McCarty, Senior Principal Product Manager at Red Hat, about the potential of open source AI to revolutionize enterprise DevOps. They discuss the challenges and opportunities of open source AI, including licensing, security, and the need for community-driven development. McCarty argues that open source AI is crucial for building trust and ensuring that AI benefits everyone, not just a select few.Show Notes:2025 Engineering Benchmarks Insights WebinarRefactoring x Dev Interrupted SurveyScott's LinkedInSupport 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

Everyone knows the era of growth at all costs is over, but where does that leave us? And specifically, where does that leave founders? The answer is straightforward: founders have to start thinking like business people. This week, Conor Bronsdon interviews Ashish Aggarwal, founder and CTO of Productive and an active investor in over 30 companies.Ashish shares his insights on how startups are adapting to the new “efficient growth” environment, why this paradigm shift is an opportunity for founders, and how the pressures of efficiency have created incentives for companies to move towards geo-distributed teams instead of co-located teams.Show Notes:Refactoring x Dev Interrupted SurveyAshish's LinkedIn2024 State of SaaS Consolidation ReportSupport 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

It's time we recognize the idea of a ‘Golden Path' is unrealistic.In this episode of Dev Interrupted, host Dan Lines is joined by Cory O'Daniel, CEO of MassDriver, to discuss Cory's provocative article 'DevOps is Bullshit'. They cover the pitfalls of DevOps, the evolution of cloud operations and whether or not platform engineering is the solution the industry needs .Cory shares insights on why many organizations struggle with DevOps implementation, the impact of cloud technology on traditional operations, and how internal developer platforms are reshaping the industry.Topics:01:03 Where has DevOps gone wrong?04:19 Have we changed or does DevOps mean something different?11:51 Platform engineering in 202420:10 How can platform engineering leaders measure success?26:40 Why are new hires being put in charge of DevOps?29:53 Getting buy in for a better platform engineering experience39:13 Are internal developer platforms a fad? Show Notes:Refactoring x Dev Interrupted SurveyCory O'DanielMassdriver - Standardize Infrastructure | Enhance Developer Experience | Enable Self-ServiceCory O'Daniel k8s/acc (@coryodaniel) / XDevOps is BullshitBridging Cloud Talent GapSupport 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

This week, host Conor Bronsdon chats with Dheeraj Pandey, CEO and co-founder of DevRev. Dheeraj shares his incredible journey from leading Nutanix to a valuation of $16 billion, to now striving to build another unicorn with DevRev.Dheeraj opens up about the lessons learned from his entrepreneurial journey, emphasizing the significance of having a holistic approach to building products and companies. He explores how his experiences at Nutanix have shaped his vision at DevRev, especially in terms of integrating AI as a core component rather than a mere add-on.The discussion also covers a range of topics including the transformative power of AI in business operations, customer-centric design, and the importance of balancing innovative technology with intuitive user experience.Topics:02:49 What inspired you to start DevRev?08:38 How did you decide not to take a bolt on approach to AI?11:30 What can other entrepreneurs learn from you about levelling up their abilities?16:42 How are you approaching scaling up DevRel?28:11 How is DevRev thinking about AI driven design?44:52 What's happening with DevRev's leadership in AI?Links:Dheeraj PandeyDheeraj PandeyDheeraj Pandey (@dheeraj) / XDevRev (@devrev)Dheeraj PandeyUnified SupportOpening WindowsFounder ModeOvercoming Growth CrisesZanzibar: Google's Consistent, Global Authorization SystemSupport 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

This week, co-host Conor Bronsdon sits down with Daniela Miao, co-founder and CTO of Momento, to discuss her journey from DynamoDB at AWS to founding the real-time data infrastructure platform Momento. Daniela covers the importance of observability, the decision to rebuild Momento's stack with Rust, and how observability can speed up development cycles. They also explore strategies for aligning technical projects with business objectives, building team trust, and the critical role of communication in achieving success. Tune in for valuable insights on leadership, technical decision-making, and startup growth.Topics:02:01 Why is observability often treated as an auxiliary service?06:14 Making a push for observability13:32 Picking the right metrics to observe and pay attention to15:49 Has the technical shift to Rust paid off?19:23 How did you create trust and buy in from your team to make a switch?26:31 What could other teams learn from Momento's move to Rust?38:15 Advice would you give for other technical founders?Links:Daniela MiaoThe Momento BlogMomento: An enterprise-ready serverless platform for caching and pub/subUnpacking the 2023 DORA Report w/ Nathen Harvey of Google CloudGoogle SRERust Programming LanguageSupport 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

This week, our host Dan Lines chats with Malte Ubl, CTO of Vercel, about why iteration speed is a game-changer for teams trying to deliver more efficiently. Malte shares how accelerating the development cycle and embracing platform engineering can supercharge productivity, helping teams ship faster and innovate more effectively.We explore what it really means to streamline workflows, reduce bottlenecks, and create an environment where developers can focus on what they do best—building great products. Malte also gives us a behind-the-scenes look at how engineering strategies are evolving to keep up with the ever-growing demands.Topics:01:14 How do you see platform engineering changing the way modern software engineering functions?04:52 Decentralized vs. centralized teams?11:40 How Vercel is using AI13:30 All about AI SDKs20:41 How should platform engineering teams should be using AI?28:02 Power struggles between high level ICs and a high level managers?30:10 Key factors to focus on when optimizing AI applications?35:11 Advice for other CTOs or engineering leadersLinks:Malte Ubl (@cramforce)About Malte UblMalte Ublv0 by VercelVercel: Build and deploy the best web experiences with the Frontend CloudDownload the Engineering Leader's Guide to Accelerating Developer ProductivitySupport 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

What are the limitations of general large language models, and when should you evaluate more specialized models for your team's most important use case?This week, Conor Bronsdon sits down with Brandon Jung, Vice President of Ecosystem at Tabnine, to explore the difference between specialized models and LLMs. Brandon highlights how specialized models outperform LLMs when it comes to specific coding tasks, and how developers can leverage tailored solutions to improve developer productivity and code quality. The conversation covers the importance of data transparency, data origination, cost implications, and regulatory considerations such as the EU's AI Act.Whether you're a developer looking to boost your productivity or an engineering leader evaluating solutions for your team, this episode offers important context on the next wave of AI solutionsTopics:00:31 Specialized models vs. LLMs01:56 The problems with LLMs and data integrity12:34 Why AGI is further away than we think16:11 Evaluating the right models for your engineering team23:42 Is AI code secure?26:22 How to adjust to work with AI effectively 32:48 Training developers in the new AI worldLinks:Brandon Jung on LinkedInBrandon Jung (@brandoncjung) / XTabnine (@tabnine) / XTabnine AI code assistant | Private, personalized, protectedManaging Bot-Generated PRs & Reducing Team Workload by 6%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

Engineering teams are already seeing efficiency gains by leveraging Gen AI solutions like Copilot, but the next wave of AI workflows has the potential to 10X productivity.This week, we're exploring the world of Agentic AI with Amir Behbehani, Chief AI Engineer and Founder of Memra. Agentic AI can be defined as AI agents or systems that have the capacity to make decisions or take actions on their own based on the objectives they are programmed to achieve. These AI systems act independently, gathering information, processing it, and then choosing or executing actions without direct human intervention.Amir shares how Memra is leading the way in developing AI agents capable of handling complex tasks, decision-making, and improving productivity across industries. He also discusses the implications of AI in reshaping how businesses operate, and how organizations can prepare for a future where AI plays a central role in both day-to-day operations and high-level strategic decisions.Whether you're an AI enthusiast, an engineering leader, or curious about the future of automation, this episode offers a deep dive into the possibilities and challenges of Agentic AI and what it means for the future of work.Chapters:01:23 Defining Agentic AI 07:02 Frameworks for thinking about Agentic AI 12:52 Unpacking AI as a black box 13:58 How Agentic AI will benefit software engineers 22:55 What would be a good starting point to leverage agents on an engineering team?26:46 Will agents replace freelancers and the gig economy?36:20 What is the synthetic marketplace?40:11 How Agentic AI impacts writing codeLinks:Supercharge Your Operations with AI-Powered Agents | MemraAmir BehbehaniManaging Bot-Generated PRs & Reducing Team Workload by 6%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

According to a LinkedIn study, engineers with strong soft skills are promoted 13% faster than those with only technical skills. Given how AI will continue to reshape market demands for developers and engineering leaders, how can you adapt to these changes and further your career?This week we're joined by Aarathi Vidyasagar, VP of Engineering at LinkedIn, to explore the growing importance of soft skills and how leadership, communication, and empathy are becoming just as critical as technical expertise.Aarathi shares how LinkedIn is preparing engineers to thrive in this new environment, focusing on upskilling teams to navigate AI and empower collaboration and innovation through strong interpersonal skills. She offers valuable takeaways into building engineering teams that balance hard technical abilities with the soft skills needed to lead, mentor, and work effectively in diverse teams.For anyone interested in the future of engineering and the rising demand for soft skills, this episode offers an important perspective on how to equip your teams for long-term success in an AI-driven world.Episode Highlights:00:56 How industry changes have impacted the need for communication and soft skills 04:31 How software development is going to continue to change 12:33 Generalists vs Specialists 15:52 How is LinkedIn positioned for the new era of hiring?31:11 How is LinkedIn approaching developer experience and productivity?36:33 How to support devs in automating migrations Show Notes:Aarathi on LinkedInClosing the Tech Talent GapManaging Bot-Generated PRs & Reducing Team Workload by 6%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

Gen AI for dev teams has been a focal point of conversation for the last few years, but the technology and application are both still very nascent. How can you find the best Gen AI use case for your team, and implement it safely?This week, our host Dan Lines sits down with Peter McKee, Vice President of Developer Relations and Community at Sonar. They explore the benefits and risks associated with Gen AI, and whether this new tooling is most impactful for junior or senior developers. Regardless of the persona, there needs to be an emphasis on quality control, static code analysis, and the new coaching strategies to help the influx of new code.Tune in to hear Dan and Peter offer practical advice for engineering leaders on safely experimenting with and integrating Gen AI tools to enhance productivity without sacrificing quality.Episode Highlights:00:33 The ins and out of being a VP of Developer Relations and Community04:48 The Importance of wisdom and experience when applying Gen AI08:32 Is there more of a risk for junior developers in this age?19:51 How tooling can help with the influx of Gen AI Code 26:02 The safe ways to roll out Gen AI to developers29:21 Where to start applying Gen AI for your team Show Notes:Peter McKee (@pmckee) / XPeter McKeeBetter Code & Better Software | Ultimate Security and Quality | SonarDownload The Engineering Leader's Guide to Accelerating Developer ProductivitySupport 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

In an organization as big as Shopify, how can you pioneer exceptional developer experience not only for your team but also for external developers using your product?This week we're joined by Eytan Seidman, Director of Product at Shopify to unpack Shopify's approach to building elite engineering teams. Eytan highlights how Shopify's high-context, high-autonomy culture empowers engineers and product managers to innovate and drive impact. By leveraging a mission-driven culture, Shopify ensures that internal and external developers can contribute effectively to the platform, without being bottlenecked back by inefficient processes or developer experience.Tune in this week, and discover how you can implement the same processes that have made Shopify so successful.Episode Highlights:00:50 What makes engineering and product roles at Shopify special?03:31 How Shopify onboards new hires to drive impact09:05 Pioneering developer experience at Shopify13:28 How Shopify defines success for their platform 17:50 Building high-context, empowered teams29:35 Leveraging AI and LLM's as a growth opportunity35:29 Advice for product and engineering leaders thinking about their next career stepShow Notes:Eytan Seidmanx.com/eytanseidmanShopifyShopify Developers Platform—Build. Innovate. Get paid.Download your copy of the 2024 Software Engineering Benchmarks Report hereSupport 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

Both the aerospace and defense sectors are renowned for long project timelines rife with silos and hurdles that get in the way of productivity. With over 20 years of experience at Lockheed Martin and elsewhere, Robin Yeman literally wrote the book Industrial DevOps on how to implement DevOps principles at traditional behemoths to build faster, safer systems.As Space Domain Lead at Carnegie Mellon's Software Engineering Institute, Robin's pioneering work reveals how applying DevOps principles can significantly improve speed, quality, and collaboration at traditional enterprises. She emphasizes the importance of cross-functional teams, modular architectures, and a growth mindset in driving innovation and overcoming the challenges of digital transformation within the aerospace and defense sectors.Tune in to gain practical insights about the application of DevOps in large-scale systems, the role of organizational design in fostering communication, and how these principles have helped government software teams.Episode Highlights: - 01:12 Robin's book Industrial DevOps- 04:00 How did Robin's work at Lockheed Martin lead to Carnegie Mellon?- 05:46 How should you get started thinking about industrial DevOps?- 08:01 How Robin's research came together across varied experiences- 10:25 What patterns can you adapt to be more successful?- 16:54 Quantitative vs. qualitative data when making long term plans- 20:27 Shifting left in Industrial DevOpsShow Notes: Robin YemanIndustrial DevOpsWiring the Winning Organization - IT RevolutionDownload your copy of the Gen AI Impact Report todaySupport 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

Scaling new product lines within a growing company can be both an opportunity and quite challenging. Semgrep's Head of Engineering Adam Berman joined us this week to share his own experience developing Semgrep's second product line.Adam was instrumental in developing Semgrep's second product line, and he shares practical strategies for moving from a single-product to a multi-product organization. He unpacks the challenges of organizational design, the importance of fast iteration and feedback loops, and how to build a cohesive company identity with so many moving parts.If you want to learn how to effectively scale products and how to drive product growth, this episode is a must-listen.Episode Highlights: 1:10 The challenges of new product lines 4:25 Scaling teams for success and strategies for growth7:30 Finding the right balance between practicality and innovation12:15 A startup within a startup mentality 18:40 Learning through experimentation23:55 Key considerations when navigating product market fit28:20 Driving growth in engineering teamsShow Notes: Adam Berman on LinkedInAdam Berman (@adamberman_13) / XSemgrepDownload your copy of the Essential Guide to Software Engineering Intelligence Platforms 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

This week, co-host Conor Bronsdon sits down with Amanda Sopkin, Engineering Manager at Asana. Amanda shares her journey from software engineer to manager, discussing the pivotal moment she chose to pursue management over an individual contributor path. We cover the indicators of a successful manager, the red flags to watch for, and the importance of mentorship.Amanda emphasizes the value of finding the right fit for team members, tailoring leadership styles, and developing a balanced team. Tune in for insights on managing senior versus junior engineers, promoting team members, and striking a balance between professional growth and personal fulfillment.Episode Highlights:00:49 Amanda's Path to Engineering Management 04:58 How to tailor your leadership style to your team06:40 Unlocking the potential of your team13:25 Keeping track of your team members individual needs17:43 Management career goals20:31 What Amanda is passionate about within engineeringShow Notes:Amanda Sopkin on LinkedInAmanda Sopkin on Twitter / XAmanda Sopkin's websiteAmanda Sopkin on GitHubAsana Project Management SoftwareSupport 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

“If you're not careful, cloud computing can lose more money faster than any invention in history” - Mark Robinson, Infrastructure Engineer at PlaidThis week, guest host Ben Lloyd Pearson sits down with Plaid's Mark Robinson to learn how he helped Plaid save 25% in costs by optimizing existing resources and eliminating waste in cloud computing.Mark explains the importance of understanding your cloud bill, identifying areas of overspend, and implementing changes that lead to significant savings. From the basics of tagging resources to the intricacies of optimizing network and storage costs, Mark offers practical tips that can help you uncover countless optimization opportunities.Tune in to learn about the rewards of improving cloud cost efficiency, the role of organizational buy-in, and the benefits of making cost optimization a company-wide value.Episode Highlights: 00:56 How did cloud computing get so expensive?02:34 Digging into what your costs actually are04:55 How can you account for the various services you use?07:35 Where are organizations going to get the most value out of?12:26 Cloud costs relation to better code quality16:08 Blockers in organizations to cost savings19:32 Getting buy-in from leadership on cutting cloud costsShow Notes:Download your copy of the Essential Guide to Software Engineering Intelligencehttps://www.finops.org/https://www.linkedin.com/in/mark-robinson-944084bSupport 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

AI is the biggest hype cycle happening in tech right now, but how do you know what's actually going to make an impact for your product and team vs. what's just new and shiny?This week, LinearB COO & Co-founder Dan Lines sits down with Louis Brandy, Member of Technical Staff OpenAI and ex-VP of Engineering at Rockset. Louis shares his unique perspective on the evolution of AI, drawing from his experiences with early days AI work at Meta and now with OpenAI following their acquisition of Rockset. He shares grounded insights into the realities of AI, separating fact from fiction in an industry often clouded by buzzwords and unrealistic expectations.Listeners will learn about the practical applications of AI, the challenges and opportunities it presents, and how to go past the hype to find AI's potential. Whether you're an AI enthusiast, a skeptic, or a professional looking to understand the true impact of AI for engineering teams, this episode offers an insightful look at one of the most talked-about topics in tech today.Episode Highlights: 00:32 Louis Brandy's background with AI at Meta04:31 The current AI hype cycle13:09 How should engineering leaders think about AI and the pressure to use it?17:58 How to know if you're falling into the hype cycle25:50 AI vs. human code34:42 Real time when it comes to AI38:36 What should an IC do about AI in their career path?Show Notes:OpenAI Acquires RocksetDownload your copy of the Essential Guide to Software Engineering Intelligence PlatformsSupport 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

When we first saw the talk titled “Space Aliens Are Among Us, Your Product Roadmap is Realistic and Other Lies you Believe,” we knew we had to sit down with Best Egg's Johnny Ray Austin at LeadingEng SF last year.Johnny joined our host Conor Bronsdon to discuss how engineering leaders can navigate unrealistic expectations and pressures, drawing from his experiences and relating product roadmaps to the less-than-tangible UFO disclosure we've seen in recent years. The conversation explores the pressures engineering leaders face, how to align product roadmaps realistically, and how to manage ambiguity within teams.By aligning engineering goals with business objectives and building a transparent, high-performing engineering culture, you can give your teams the context they need to drive focus and concentration toward the right outcomes.Episode Highlights: 1:36 Where Johnny came up with the talk title "Space Aliens Are Among Us" 4:15 Advice for engineering leaders struggling with roadmap realism 6:44 Cutting through the noise to find the metrics that matter 11:41 How do teams know if they're moving fast in the right direction? 14:58 How do you handle teams that are getting the wrong input? 20:32 Lies we tell ourselves that we need to get past 28:32 What it's like to create a new unit inside a company 33:53 Identifying and dealing with ambiguity on your teams 40:45 Johnny's Thoughts on AIShow NotesDownload your complimentary Gartner® Market Guide: Software Engineering Intelligence (SEI) PlatformsJohnny Ray AustinPersonal Loans | Quick & Easy Application | Best EggSupport 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

Engineering leaders have long used value stream management and CI/CD tools to improve software delivery practices. However, an increasing demand for cost and efficiency is leading to the adoption of new technologies. Enterprises are quickly adopting tools that combine deeper levels of visibility into the SDLC with net-new workflow automations, leading to a better developer experience and increased output. This week's labs episode takes an in-depth look at Software Engineering Intelligence (SEI) Platforms and how engineering teams are using this new technology to gain a competitive advantage. LinearB's COO and Co-founder Dan Lines along with co-host Conor Bronsdon cover the evolution of SEI, its core capabilities, and how these tools are being used to drive predictability, resource investment strategy and an improved developer experience. Join our journey into the data insights and workflow automations that are driving the next wave of continuous improvement. Gartner estimates that the adoption of SEI platforms will increase to 50% of engineering teams by 2027 – whether you're a VP, manager, or developer, find out why adopting an SEI Platform is crucial to your future success.Episode Highlights:2:39 Digging into the data to find optimizations 4:02 What is Software Engineering Intelligence (SEI)? 9:08 What is profitable engineering and why should it be top of mind? 14:56 How can SEI help a VPE or CTO? 20:43 How does SEI relate to value stream management? 25:05 The role of automation in continuous improvement 29:36 How do SEI platforms help improve GenAI code orchestration? 31:45 What makes a great SEI platform? 34:19 What's next for SEI?Show Notes:Moneyball (2011) directed by Bennett Miller • Reviews, film + cast • LetterboxdDownload your complimentary Gartner® Market Guide: Software Engineering Intelligence (SEI) PlatformsSupport 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

In this episode of Dev Interrupted, Conor Bronsdon is joined by Sanghamitra Goswami, Senior Director of Data Science and Machine Learning at PagerDuty. Sanghamitra shares her expertise in AI and data science, including how engineering teams can effectively leverage both within their organizations. She also explores the history and significance of LLMs, strategies for measuring success and ROI, and the importance of foundational data work. The conversation ends with a discussion about practical applications of AI at PagerDuty, including features designed to reduce noise and improve incident resolution. Episode Highlights:00:56 Why are LLMs important for engineering teams to understand?03:17 How should engineering leaders think about using AI in their products?07:57 What sort of plan should engineering leaders have to get buy in for AI?13:22 Are there ways to show ROI on an investment in AI?15:08 How should we communicate with customers about AI in our products?18:53 How can companies find a good use case for AI in their product?Show Notes:LinkedInPagerDutySupport 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

This week, guest host Ben Lloyd Pearson chats with Thayse Onofrio, Software Engineer at Clutch and ex Thoughtworks. Thayse discusses how micro frontends allow individual application components to be operated and deployed independently, helping teams avoid the complexities of a monolithic architecture. They cover the technicalities, challenges, and advantages of implementing micro frontends, including the importance of module federation and proper coordination among developer teams. Learn about the future of frontend development, the cultural impacts, and the best practices from Thayse's experience. Episode highlights:01:02 What is a micro frontend?04:08 Building from scratch vs. out-of-the-box solutions 10:30 What's the process for moving to a more micro frontend based approach?15:46 What changes do you need to use a micro frontend framework? 17:28 What does a team using micro frontends benefit from once it's all set up?Show Notes:Thayse Onofrio | TwitterThayse Onofrio | SubstackThayse Onofrio | LinkedInThayse Onofrio | LeadDevSoftware Engineering Intelligence: Exposed & In ActionSupport 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

Dan Lines is joined by Gil Broza, author of 'Deliver Better Results,' to discuss how you and your organization can achieve better results by focusing on processes. Gil shares his 20-year journey in the Agile field, focusing on product development, system thinking, prioritizing people, and mindful mindset adjustments.The conversation covers the book's target audience, the concept of the value delivery systems, and the roadmap for holistic improvement beyond traditional Agile methodologies. Gil also highlights common pitfalls leaders encounter, such as treating people as resources and the importance of a unified organizational mindset.As a thank you to our listeners, we're giving away the first chapter of ‘Deliver Better Results' for free, check it out here.Episode Highlights:00:58 What led Gil to write ‘Deliver Better Results', and who should be reading it?06:20 Is there a certain size of team that would benefit from this book?12:08 How can leaders identify the current state of their team?17:01 How can engineering and product work better together?20:49 What do leaders get wrong about people?34:14 How can managers avoid finding someone to blame?40:10 How can you avoid falling back to old habits after you make changes?Show Notes:Gil Broza on LinkedInGil Broza (@gilbroza) / XDeliver Better Results: How to Unlock Your Organization's PotentialDownload the first chapter of ‘Deliver Better Results' for free hereSupport 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

This week, guest host Ben Lloyd Pearson sits down with Bloomberg's Engineering Manager Luis Vega. Luis discusses the initial challenges of enhancing developer engagement with internal tooling. He outlines his approach to building internal applications that are as intuitive and engaging as Bloomberg's client-facing solutions, and how applying UX design principles and branding for tools dramatically increased adoption. Vega also reflects on transitioning from a hands-on developer to a managerial role, emphasizing the importance of understanding team dynamics and fostering a culture of support and innovation within Bloomberg.Episode Highlights:01:14 What is Bloomberg?02:52 How do you get developers to embrace internal tooling?06:58 Giving applications mascots12:28 Helping developers be more productive with internal tooling18:31 What was the biggest challenge to tackle when developing internal tooling?25:41 Luis' journey into development32:07 What's next for Bloomberg's internal tools?Show Notes:How to Drive Developer Productivity and Profitability with SEI BloombergLuis Alejandro Vega on LinkedInLuis Alejandro Vega (@luisalejovega) / XAleAlejandro on YouTubeSupport 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

In our first Labs episode of the year, LinearB COO and Co-founder Dan Lines is joined by CTO Yishai Beeri to explore how elite engineering organizations set and report on their engineering goals. Modern engineering leaders face a dual mandate of achieving operational excellence while aligning their work with business priorities. To achieve this, you need to deliver software predictably—projects need to be delivered on time, within scope, and as promised so the rest of the business can drive ROI. Dan and Yishai highlight goal-setting methodologies to achieve predictable delivery and key metrics to focus on, ranging from planning accuracy and capacity accuracy to cycle time.Along with goal setting, we cover how to effectively report on your goals and progress to business stakeholders. Plus, you can download LinearB's CTO Board Deck Template to leverage in your next board meeting.Episode Highlights:01:24 Key terms to know when setting goals 02:17 Engineering leaders' dual mandate: operational excellence and business alignment 08:18 How can engineering leaders set goals to achieve both sides of this mandate?11:37 Why engineering organizations need to deliver predictably 19:37 How to set goals around resource allocation 27:30 Reporting on your goals to business stakeholders 32:56 The LinearB CTO Board Deck TemplateShow Notes:Gartner SEI Platform Market GuideCTO Board SlidesEngineering Leader Guide to Goals and ReportingLinkedIn: Yishai BeeriTwitter: Yishai BeeriSupport 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