Podcasts about developer productivity

In this episode, Abi Noda speaks with DX CTO Laura Tacho about the real obstacles holding back AI adoption in engineering teams. They discuss why technical challenges are rarely the blocker, and how fear, unclear expectations, and inflated hype can stall progress. Laura shares practical strategies for driving adoption, including how to model usage from the top down, build momentum through champions and training programs, and measure impact effectively—starting with establishing a baseline before introducing AI tools.Where to find Laura Tacho: • LinkedIn: https://www.linkedin.com/in/lauratacho/• Website: https://lauratacho.com/Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover:(00:00) Intro: The full spectrum of AI adoption(03:02) The hype of AI(04:46) Some statistics around the current state of AI coding tool adoption(07:27) The real barriers to AI adoption(09:31) How to drive AI adoption (15:47) Measuring AI's impact (19:49) More strategies for driving AI adoption (23:54) The Methods companies are actually using to drive impact(29:15) Questions from the chat (39:48) Wrapping upReferenced:DX Core 4 Productivity FrameworkThe AI adoption playbook: Lessons from Microsoft's internal strategyMicrosoft CEO says up to 30% of the company's code was written by AI | TechCrunchViral Shopify CEO Manifesto Says AI Now Mandatory For All EmployeesDORA | Impact of Generative AI in Software DevelopmentGuide to AI assisted engineeringJustin Reock - DX | LinkedIn

Jack Herrington, podcaster, software engineer, writer and YouTuber, joins the pod to uncover the truth behind server functions and why they don't actually exist in the web platform. We dive into the magic behind frameworks like Next.js, TanStack Start, and Remix, breaking down how server functions work, what they simplify, what they hide, and what developers need to know to build smarter, faster, and more secure web apps. Links YouTube: https://www.youtube.com/@jherr Twitter: https://x.com/jherr Github: https://github.com/jherr ProNextJS: https://www.pronextjs.dev Discord: https://discord.com/invite/KRVwpJUG6p LinkedIn: https://www.linkedin.com/in/jherr Website: https://jackherrington.com Resources Server Functions Don't Exist (It Matters) (https://www.youtube.com/watch?v=FPJvlhee04E) We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Jack Herrington.

Thomas Dohmke, CEO of GitHub, joins Azeem to explore how AI is fundamentally transforming software development. In this episode you'll hear: (01:50) What's left for developers in the age of AI? (04:54) How GitHub Copilot unlocks flow state (07:09) Three big shifts in how engineers work today (10:47) Is software development art or assembly line? (15:26) Why developers are climbing the abstraction ladder (19:35) Have we already lost control of the code? (23:15) What it's actually like to work with AI coding agents (39:35) Welcome to the age of ultra-personalized software(45:37) Building the next-generation web Thomas's links:GitHub: https://github.com/LinkedIn: https://www.linkedin.com/in/ashtom/Twitter/X: https://x.com/ashtomAzeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeemOur new show This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through Exponential View on Substack. Produced by supermix.io and EPIIPLUS1 Ltd

In this episode, Abi Noda speaks with Derek DeBellis, lead researcher at Google's DORA team, about their latest report on generative AI's impact on software productivity.They dive into how the survey was built, what it reveals about developer time and “flow,” and the surprising gap between individual and team outcomes. Derek also shares practical advice for leaders on measuring AI impact and aligning metrics with organizational goals.Where to find Derek DeBellis: • LinkedIn: https://www.linkedin.com/in/derekdebellis/Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover:(00:00) Intro: DORA's new Impact of Gen AI report(03:24) The methodology used to put together the surveys DORA used for the report (06:44) An example of how a single word can throw off a question (07:59) How DORA measures flow (10:38) The two ways time was measured in the recent survey(14:30) An overview of experiential surveying (16:14) Why DORA asks about time (19:50) Why Derek calls survey results ‘observational data' (21:49) Interesting findings from the report (24:17) DORA's definition of productivity (26:22) Why a 2.1% increase in individual productivity is significant (30:00) The report's findings on decreased team delivery throughput and stability (32:40) Tips for measuring AI's impact on productivity (38:20) Wrap up: understanding the data Referenced:DORA | Impact of Generative AI in Software DevelopmentThe science behind DORAYale Professor Divulges Strategies for a Happy Life Incredible! Listening to ‘When I'm 64' makes you forget your ageSlow Productivity: The Lost Art of Accomplishment without BurnoutDORA, SPACE, and DevEx: Which framework should you use?SPACE framework, PRs per engineer, AI research

In this episode, Abi Noda is joined by Laura Tacho, CTO at DX, engineering leadership coach, and creator of the Core 4 framework. They explore how engineering organizations can avoid common pitfalls when adopting metrics frameworks like SPACE, DORA, and Core 4.Laura shares a practical guide to getting started with Core 4—beginning with controllable input metrics that teams can actually influence. The conversation touches on Goodhart's Law, why focusing too much on output metrics can lead to data distortion, and how leaders can build a culture of continuous improvement rooted in meaningful measurement.Where to find Laura Tacho: • LinkedIn: https://www.linkedin.com/in/lauratacho/• Website: https://lauratacho.com/Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover:(00:00) Intro: Improving systems, not distorting data(02:20) Goal setting with the new Core 4 framework(08:01) A quick primer on Goodhart's law(10:02) Input vs. output metrics—and why targeting outputs is problematic(13:38) A health analogy demonstrating input vs. output(17:03) A look at how the key input metrics in Core 4 drive output metrics (24:08) How to counteract gamification (28:24) How to get developer buy-in(30:48) The number of metrics to focus on (32:44) Helping leadership and teams connect the dots to how input goals drive output(35:20) Demonstrating business impact (38:10) Best practices for goal settingReferenced:DX Core 4 Productivity FrameworkEngineering Enablement PodcastDORA's software delivery metrics: the four keysThe SPACE of Developer Productivity: There's more to it than you thinkDevEx: What Actually Drives ProductivityDORA, SPACE, and DevEx: Which framework should you use?Goodhart's law Nicole Forsgren - Microsoft | LinkedInCampbell's law Introducing Core 4: The best way to measure and improve your product velocityDX Core 4: Framework overview, key design principles, and practical applicationsDX Core 4: 2024 benchmarks - by Abi Noda

This interview was recorded for GOTO Unscripted.https://gotopia.techRead the full transcription of this interview here:https://gotopia.tech/articles/347Tudor Girba - Software Environmentalist and CEO of feenk Julian Wood - Serverless Developer Advocate at AWSRESOURCESTudorhttps://bsky.app/profile/tudorgirba.comhttps://github.com/girbahttps://www.linkedin.com/in/girbahttp://www.tudorgirba.comhttps://medium.com/@girbaJulianhttps://bsky.app/profile/julianwood.comhttp://www.wooditwork.comhttps://www.linkedin.com/in/julianrwoodDESCRIPTIONGet a sneak peak into the concept of moldable development as a transformative approach through a discussion between Tudor Girba and Julian Wood. By emphasizing the creation of tailored, flexible tools, Girba presents a way to reduce the friction of working with complex systems and legacy code. He explores how contextualized tools, such as those provided by the Glamorous Toolkit, allow developers to engage with software environments in a more intuitive and efficient manner.The integration of generative AI is also examined, where Girba argues that AI's true potential lies not in providing definitive answers but in assisting developers by generating hypotheses and creating tools that support deeper engagement with code. Additionally, the concept of "habitability" is introduced, proposing that software systems, like physical spaces, should be navigable and comprehensible to developers, fostering a more productive and enjoyable experience.This vision of a future where software systems are more accessible and adaptable reflects the growing need to rethink how we interact with code, empowering developers with the tools and perspectives necessary to navigate increasingly complex digital landscapes.RECOMMENDED BOOKSRichard P. Gabriel • Patterns of SoftwareSusanne Kaiser • Adaptive Systems With Domain-Driven Design, Wardley Mapping, and Team TopologiesEric Evans • Domain-Driven DesignMatthew Skelton & Manuel Pais • Team TopologiesHeidi Helfand • Dynamic ReteamingVlad Khononov • Learning Domain-Driven DesignErik Schön • The Art of StrategyThomas BlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences. In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke with Trisha Gee about the challenges and importance of addressing flaky tests, their impact on developer productivity and morale, best practices for testing, and broader concepts of measuring and improving developer productivity. Read a transcript of this interview: https://bit.ly/4iiUC6a Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: InfoQ Dev Summit Boston (June 9-10, 2025) Actionable insights on today's critical dev priorities. devsummit.infoq.com/conference/boston2025 InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/conference/munich2025 QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI NYC 2025 (December 16-17, 2025) https://ai.qconferences.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - Twitter: twitter.com/InfoQ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Youtube: www.youtube.com/infoq Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

Brian Houck from Microsoft returns to discuss effective strategies for driving AI adoption among software development teams. Brian shares his insights into why the immense hype around AI often serves as a barrier rather than a facilitator for adoption, citing skepticism and inflated expectations among developers. He highlights the most effective approaches, including leadership advocacy, structured training, and cultivating local champions within teams to demonstrate practical use cases. Brian emphasizes the importance of honest communication about AI's capabilities, avoiding over-promises, and ensuring that teams clearly understand what AI tools are best suited for. Additionally, he discusses common pitfalls, such as placing excessive pressure on individuals through leaderboards and unrealistic mandates, and stresses the importance of framing AI as an assistant rather than a replacement for developer skills. Finally, Brian explores the role of data and metrics in adoption efforts, offering practical advice on how to measure usage effectively and sustainably.Where to find Brian Houck: • LinkedIn: https://www.linkedin.com/in/brianhouck/ • Website: https://www.microsoft.com/en-us/research/people/bhouck/ Where to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover:(00:00) Intro: Why AI hype can hinder adoption among teams(01:47) Key strategies companies use to successfully implement AI(04:47) Understanding why adopting AI tools is uniquely challenging(07:09) How clear and consistent leadership communication boosts AI adoption(10:46) The value of team leaders ("local champions") demonstrating practical AI use(14:26) Practical advice for identifying and empowering team champions(16:31) Common mistakes companies make when encouraging AI adoption(19:21) Simple technical reminders and nudges that encourage AI use(20:24) Effective ways to track and measure AI usage through dashboards(23:18) Working with team leaders and infrastructure teams to promote AI tools(24:20) Understanding when to shift from adoption efforts to sustained use(25:59) Insights into the real-world productivity impact of AI(27:52) Discussing how AI affects long-term code maintenance(29:02) Updates on ongoing research linking sleep quality to productivityReferenced:DX Core 4 Productivity FrameworkEngineering Enablement PodcastDORA MetricsDropbox Engineering BlogEtsy Engineering BlogPfizer Digital InnovationBrown Bag Sessions – A GuideIDE Integration and AI ToolsDeveloper Productivity Dashboard Examples

Justin Reock has spent a lot of his career thinking about how to help developers be more productive. In this episode we learn about the methodologies that can help developers spend more time in "flow state" - happily coding the fun stuff. Further reading: Measuring developer productivity with the DX Core 4 Discuss this episode: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠discord.gg/XVKD2uPKyF⁠⁠

In this episode, we're joined by author and researcher Gene Kim for a wide-ranging conversation on the evolution of DevOps, developer experience, and the systems thinking behind organizational performance. Gene shares insights from his latest work on socio-technical systems, the role of developer platforms, and how AI is reshaping the shape of engineering teams. We also explore the coordination challenges facing modern organizations, the limits of tooling, and the deeper principles that unite DevOps, lean, and platform engineering.Mentions and links:Phoenix ProjectDecoding the DNA of the Toyota Production SystemWiring the Winning OrganizationETLS VegasFind Gene on LinkedInDiscussion points:(0:00) Introduction(2:12) The evolving landscape of developer experience(10:34) Option Value theory, and how GenAI helps developers(13:45) The aim of developer experience work(19:59) The significance of layer three changes(23:23) Framing developer experience(32:12) GenAI's part in ‘the death of the stubborn developer”(36:05) GenAI's implications on the workforce(38:05) Where Gene's work is heading

In this episode, Airbnb Developer Productivity leader Anna Sulkina shares the story of how her team transformed itself and became more impactful within the organization. She starts by describing how the team previously operated, where teams were delivering but felt they needed more clarity and alignment across teams. Then, the conversation digs into the key changes they made, including reorganizing the team, clarifying team roles, defining strategy, and improving their measurement systems. Mentions and linksFollow Anna on LinkedInFor A deeper look into how our Engineers and Data Scientists build a world of belonging, check out The Airbnb Tech BlogDiscussion points:(0:00) Intro(1:40) Skills that make a great developer productivity leader(4:36) Challenges in how the team operated previously(10:49) Changing the platform org's focus and structure(16:04) Clarifying roles for EM's, PM's, and tech leads(20:22) How Airbnb defined its infrastructure org's strategy(28:23) Improvements they've seen to developer experience satisfaction(32:13) The evolution of Airbnb's developer experience survey

This interview was recorded for GOTO Unscripted.https://gotopia.techRead the full transcription of this interview hereDr. Gail Murphy - Vice-President Research & Innovation & Professor of Computer Science at The University of British ColumbiaCharles Humble - Freelance Techie, Podcaster, Editor, Author & ConsultantRESOURCESGailhttps://x.com/gail_murphyhttps://social.sigsoft.org/@gail_murphyhttps://www.linkedin.com/in/gailcmurphyhttps://blogs.ubc.ca/gailcmurphyCharleshttps://bsky.app/profile/charleshumble.bsky.socialhttps://linkedin.com/in/charleshumblehttps://mastodon.social/@charleshumblehttps://conissaunce.comDESCRIPTIONCharles Humble interviews Dr. Gail Murphy about the challenges in software engineering today. They discuss how productivity isn't just about lines of code but is more about focus and minimizing task-switching.Gail also talks about the difficulty of managing the rapid evolution of system architectures, stressing the need for regular restructuring and refactoring to avoid issues like increased coupling and decreased performance. The conversation moves to open-source development, where Gail highlights how using open-source components can create complex, brittle dependencies, and the need for better communication within these ecosystems.They wrap up by discussing the evolving role of technical leadership in navigating these challenges. [...]RECOMMENDED BOOKSHeidi Helfand • Dynamic ReteamingHeidi Helfand • How to Change Your TeamsCarl Larson & Frank M J LaFasto • TeamworkGene Kim & Steve Spear • Wiring the Winning OrganizationIchak Adizes • Managing Corporate LifecyclesHenri Lipmanowicz & Keith McCandless • The Surprising Power of Liberating StructuresMatthew Skelton & Manuel Pais • Team TopologiesWilliam Bridges & Susan Bridges • TransitionsBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Roy Derks, Developer Experience at IBM, talks about the integration of Large Language Models (LLMs) in web development. We explore practical applications such as building agents, automating QA testing, and the evolving role of AI frameworks in software development. Links https://www.linkedin.com/in/gethackteam https://www.youtube.com/@gethackteam https://x.com/gethackteam https://hackteam.io We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Roy Derks.

In this podcast Michael Stiefel spoke with Lizzie Matusov about the dependency of effective, productive, and satisfied teams on good software architecture. Understanding this relationship requires understanding exactly what software productivity really is, how modern software engineering research has become more rigorous and practical, and how to apply that research to software development. Read a transcript of this interview: https://bit.ly/41trQt4 Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: QCon London (April 7-10, 2025) Discover new ideas and insights from senior practitioners driving change and innovation in software development. https://qconlondon.com/ InfoQ Dev Summit Boston (June 9-10, 2025) Actionable insights on today's critical dev priorities. devsummit.infoq.com/conference/boston2025 InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/ QCon San Francisco 2025 (17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ InfoQ Dev Summit New York (Save the date - December 2025) https://devsummit.infoq.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - Twitter: twitter.com/InfoQ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Youtube: www.youtube.com/infoq Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

This interview was recorded for GOTO Unscripted.https://gotopia.techRead the full transcription of this interview hereDaniel Terhorst-North - Originator of Behavior Driven Development (BDD) & Principal at Dan North & AssociatesJulian Wood - Serverless Developer Advocate at AWSRESOURCESDanielhttps://bsky.app/profile/tastapod.comhttps://www.linkedin.com/in/tastapodhttps://github.com/tastapodhttps://mastodon.social/@tastapodhttp://dannorth.net/blogJulianhttps://bsky.app/profile/julianwood.comhttps://twitter.com/julian_woodhttp://www.wooditwork.comhttps://www.linkedin.com/in/julianrwoodhttps://s12d.com/gotoDESCRIPTIONDaniel Terhorst-North and Julian Wood share decades of experience to offer a nuanced view of programming, governance, and product delivery. By framing programming as a socio-technical activity, they emphasize the critical role of collaboration, feedback, and sustainable practices.The conversation challenges traditional governance models, advocating for hypothesis-driven product management and continuous feedback mechanisms. Through humorous anecdotes and hard-won wisdom, Terhorst-North inspires people to look beyond technical expertise to the broader ecosystem of teams, culture, and organizational alignment. [...]RECOMMENDED BOOKSJez Humble & David Farley • Continuous DeliveryNicole Forsgren, Jez Humble & Gene Kim • AccelerateKim, Humble, Debois, Willis & Forsgren • The DevOps HandbookJez Humble, Joanne Molesky & Barry O'Reilly • Lean EnterpriseHeidi Helfand • Dynamic ReteamingHeidi Helfand • How to Change Your TeamsCarl Larson & Frank M J LaFasto • TeamworkGene Kim & Steve Spear • Wiring the Winning OrganizationMatthew Skelton & Manuel Pais • Team TopologiesBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

If you're a non-technical founder or leader, you might find developers frustrating to work with. (They also think the same thing about you) Developers resist quick changes, seem annoyed by status meetings, and always want the most expensive equipment. That's not because they are prima donnas. This episode will explain why developers work so differently from other professionals, and show you how to create communication systems that work for both business and technical teams. Listen to learn: Why a "5-minute change" actually costs 2 hours of developer time The hidden costs of cheap equipment that hurt your bottom line How to structure meetings to maximise development speed Practical communication strategies that get results Resources mentioned in this episode: https://paulgraham.com/makersschedule.html   Timestamps 00:00 Introduction 001:10 Developer Mindsets 02:55 The Importance of Sprints 06:10 Managing Developer Interruptions 09:04 The Maker vs. Manager Schedule 11:59 Hiring and Equipment Considerations 14:50 Effective Communication 18:05 Developer Productivity 21:00 Conclusion   For the transcript, go to: https://www.techfornontechies.co/blog/243-how-to-work-with-developers-a-guide-for-non-technical-leaders   For more career & tech lessons, subscribe to Tech for Non-Techies on: Apple Spotify YouTube Amazon Podcasts Stitcher Pandora   FREE COURSE: 5 Tech Concepts Every Business Leader Needs To Know Growth Through Innovation If your organisation wants to drive revenue through innovation, book a call with us here. Our workshops and innovation strategies have helped Constellation Brands, the Royal Bank of Canada and Oxford University.

Many teams struggle to use developer productivity data effectively because they don't know how to use it to decide what to do next. We know that data is here to help us improve, but how do you know where to look? And even then, what do you actually do to put the wheels of change in motion? Listen to this conversation with  Abi Noda and Laura Tacho (CEO and CTO at DX) about data-driven management and how to take a structured, analytical approach to using data for improvement.Mentions and Links:Measuring developer productivity with the DX Core 4Laura's developer productivity metrics courseDiscussion points:(0:00) Intro(2:07) The challenge we're seeing(6:53) Overview on using data(8:58) Use cases for data-engineering organizations(15:57) Use cases for data - engineering systems teams(21:38) Two types of metrics - Diagnostics and Improvement(38:09) Summary

In this episode, David Betts, leader of Twilio's developer platform team, shares how Twilio leverages developer sentiment data to drive platform engineering initiatives, optimize Kubernetes adoption, and demonstrate ROI for leadership. David details Twilio's journey from traditional metrics to sentiment-driven insights, the innovative tools his teams have built to streamline CI/CD workflows, and the strategies they use to align platform investments with organizational goals.Mentions and links:Find David on LinkedInMeasuring developer productivity with the DX Core 4Ask Your Developer by Jeff Lawson, former CEO of TwilioDiscussion points:(0:00) Introduction(0:49) Twilio's developer platform team(2:03) Twilio's approach to release engineering and CD(4:10) How they use sentiment data and telemetry metrics(7:27) Comparing sentiment data and telemetry metrics(10:25) How to take action on sentiment data(13:16) What resonates with execs(15:44) Proving DX value: sentiment, efficiency, and ROI(19:15) Balancing quarterly and real-time developer feedback

Chris Chandler is a Senior Member of the Technical Staff for Developer Productivity at T-Mobile. Chris has led several major initiatives to improve developer experience including their internal developer portal, Starter Kits (a patented developer platform that predates Backstage), and Workforce Transformation Bootcamps for onboarding developers faster.Mentions and links:Follow Chris on LinkedInMeasuring developer productivity with the DX Core 4Listen to Decoder with Nilay Patel.Discussion points:(0:47) From developer experience to developer productivity(7:03) Getting executive buy-in for developer productivity initiatives(13:54) What Chris's team is responsible for(17:02) How they've built relationships with other teams(20:57) How they built and got funding for Dev Console and Starter Kits(27:23) Homegrown solution vs Backstage

In this episode, Abi and Laura dive into the 2024 DX Core 4 benchmarks, sharing insights across data from 500+ companies. They discuss what these benchmarks mean for engineering leaders, how to interpret key metrics like the Developer Experience Index, and offer advice on how to best use benchmarking data in your organization. Mentions and Links:DX core 4 benchmarksMeasuring developer productivity with the DX Core 4Developer experience index (DXI)Will Larson's article on the Core 4 and power of benchmarking dataDiscussion points:(0:42) What benchmarks are for(3:44) Overview of the DX Core 4 benchmarks(6:07) PR throughput data (11:05) Key insights related to startups and mobile teams (14:54) Change fail rate data (19:42) How to best use benchmarking data

Brad and Amy dive into their year-end tech reflections, discussing goal-setting strategies and Amy's ambitious Build 12 project for 2025. The hosts explore various database hosting solutions, share their favorite hardware purchases including cameras and peripherals, and examine how AI tools are reshaping development workflows. The episode concludes with insights into emerging tech trends and anticipated developments for 2025.Chapter Marks00:00 Episode introduction and host intros00:41 Year-end goals discussion and 12-week planning02:02 Amy's Build 12 project announcement03:01 Goal setting strategies and focus04:25 Brad's 2024 goals review05:35 Travel plans and New York City trips06:58 More 2024 goals: fitness, career, and finances08:21 Technical stack discussion13:22 AI tools and development workflows17:19 Database hosting options comparison25:45 Tech gear and hardware updates33:47 Notable tech purchases review43:29 AI tools and future tech discussionLinksBuild Twelve, by Brian P. Moran - Amy's upcoming projectThe 12 Week Year (book)Atomic Habits, by James Clear (book)The Power of Habit, by Charles Duhigg (book)SupabaseNeon databaseDigital OceanTursoCursor IDERemarkable Tablet (v2)Oura RingRazer Basilisk V3 Pro mouseSwish app for MacNuphy Air 75 keyboardDrop keyboardInsta360 One cameraInsta360 Go 3 cameraNikon ZFC cameraRay Deck - Episode 182: Low-Code as a Medium For High-Speed DevelopersMarc LouPieter LevelsWorkOSThe Best Way to Add Authentication to Your Astro Website (Amy's YouTube Video)Comparing Frameworks - Amy's projectGitHub CopilotClaudeconvertkit.comloops.soPrisma

This interview was recorded at GOTO Aarhus for GOTO Unscripted.http://gotopia.techRead the full transcription of this interview hereAlistair Cockburn - Co-Author of the "Manifesto for Agile Software Development"Aino Vonge Corry - Retrospectives Facilitator, Teacher, Technical Conference Editor & Author of "Retrospectives Antipatterns"RESOURCESAlistairhttps://twitter.com/TotherAlistairhttps://www.linkedin.com/in/alistaircockburnhttps://github.com/totheralistairhttp://alistair.cockburn.usAinohttps://twitter.com/apaipihttp://metadeveloper.comhttps://github.com/apaipihttps://linkedin.com/in/aino-vonge-corry-9a23801DESCRIPTIONAlistair Cockburn shares his insights on the profound impact of AI on the Agile community and beyond. Together with Aino Vonge Corry they reflect on the history and evolution of Agile, contrasts AI's transformative power with past technologies, and expresses concerns about AI's potential to disrupt various professions.He emphasizes his role as a "Bard" rather than a futurist, focusing on current trends and practices around the world. The conversation also touches on Denmark's resilience in the global recession, highlighting the unique societal perspectives that contribute to happiness in Scandinavian countries.RECOMMENDED BOOKSAino Vonge Corry • Retrospective Antipatterns • https://amzn.to/3naFk84Derby, Larsen & Schwaber • Agile Retrospectives • https://amzn.to/3hB4eNkStone, Chaparro, Keebler, Chaparro & McConnell • Introduction to Human Factors • https://amzn.to/3mfXqY2BlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Join Amy and Brad as they break down the latest developments in the React ecosystem following React Conf 2024. From quality-of-life improvements in React 19 to the introduction of the new React compiler, they analyze how these changes will impact everyday development. The episode features an in-depth discussion about Remix's strategic decision to focus on React Router, the ongoing debate between JavaScript frameworks and traditional backend frameworks, and thoughtful insights into choosing the right tools for your projects. Whether you're a seasoned React developer or just getting started, this episode offers valuable perspective on the future of web development.SponsorsSanity delivers content anywhere (just like a headless CMS).Beyond that, Sanity gives you total composability. A fully decoupled, real-time content back end. Entirely customizable content workspaces.Chapters00:00 - Introduction00:42 - Sponsor: Sanity02:12 - React Conf Experience05:00 - Conference Personalities08:52 - React Compiler Deep Dive13:20 - Remix "Taking a Nap" Discussion26:41 - React 19 Features33:54 - JavaScript vs PHP/Laravel Debate41:11 - Framework Decision Fatigue44:45 - Picks & Plugs

This interview was recorded for GOTO Unscripted.https://gotopia.techRead the full transcription of this interview here:https://gotopia.tech/articles/330Cassidy Williams - Senior Director of Developer Advocacy at GitHub Ben Hong - Staff Developer Experience Engineer at Pandan Studio  RESOURCESCassidyhttps://twitter.com/cassidoohttps://www.linkedin.com/in/cassidoohttps://github.com/cassidoohttps://cassidoo.coBenhttps://x.com/bencodezenhttps://m.webtoo.ls/@bencodezenhttps://github.com/bencodezenhttps://www.linkedin.com/in/bencodezenhttps://www.bencodezen.ioLinkshttps://obsidian.mdhttps://www.notion.sohttps://bear.apphttps://www.keyboardmaestro.comhttps://github.com/features/copilothttps://claude.aihttps://www.cursor.comhttps://www.tabnine.comDESCRIPTIONCassidy Williams and Ben Hong explore the intersection of aesthetics, functionality, and AI in the world of coding. They begin by examining how the design and feel of tools, from digital typewriters to customized keyboards, can significantly impact productivity and enjoyment. As they delve into AI's growing role, they assess various tools like GitHub Copilot, Claude.ai, and others, emphasizing how these technologies complement rather than replace human creativity.Their conversation highlights the balance between leveraging AI for efficiency and maintaining personal touch and critical thinking in coding. They argue that while AI advances, the human element remains crucial in driving innovation and crafting meaningful work. [...]RECOMMENDED BOOKSTaylor Royce • The 2024 Developer Productivity Guide • https://amzn.to/3XNAjqzUnni Panicker • The Software Developer's Guide to ChatGP • https://amzn.to/3MSpoWwAlex Castrounis • AI for People and Business • https://amzn.to/3NYKKToPhil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

In this episode, Abi and Laura introduce the DX Core 4, a new framework designed to simplify how organizations measure developer productivity. They discuss the evolution of productivity metrics, comparing Core 4 with frameworks like DORA, SPACE, and DevEx, and emphasize its focus on speed, effectiveness, quality, and impact. They explore why each metric was chosen, the importance of balancing productivity measures with developer experience, and how Core 4 can help engineering leaders align productivity goals with broader business objectives.   Mentions and Links:Measuring developer productivity with the DX Core 4Laura's developer productivity metrics courseDiscussion Points:(2:42) Introduction to the DX Core 4(3:42) Identifying the Core 4's target audience and key stakeholders(4:38) Origins and purpose(9:20) Building executive alignment(14:15) Tying metrics to business value through output-oriented measures(24:45) Defining impact(32:42) Choosing between DORA, SPACE, and Core 4 frameworks

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

Exciting news from AWS re:Invent! GitLab and AWS are joining forces to supercharge AI-powered software development!

In this episode, Brian Houck, Applied Scientist, Developer Productivity at Microsoft, covers SPACE, DORA, and some specific metrics the developer productivity research team is finding useful. The conversation starts by comparing DORA and SPACE. Brian explains why activity metrics were included in the SPACE framework, then dives into one metric in particular: pull request throughput. Brian also describes another metric Microsoft is finding useful, and gives a preview into where his research is heading. Mentions and linksConnect with Brian on LinkedInThe SPACE of Developer Productivity: There's More to It Than You ThinkMeasuring developer productivity with the DX Core 4DevEx in actionDORA, SPACE, and DevEx: Which framework should you use?Discussion points(0:48) SPACE framework's growth and adoption(3:47) Comparing DORA and SPACE(6:30) SPACE misconceptions and common implementation challenges(9:34) Whether PR throughput is useful  (15:13) Real-world example of using PR throughput (21:33) Talking about metrics like PR throughput internally (24:39) Where Brian's research is heading 

If information is scattered across all the different sections of a developer portal, how can you make it easy for developers to find exactly what they are looking for? Is AI really the answer to challenges in data exploration? In this episode, Praneet Singh (Product Manager at Intuit) shares valuable insights about improving findability, as well as the emerging personas on developer portals and how repeating data patterns can be the key to serving them.

Click here to view the episode transcript. In this episode, Snowflake's Gilad Turbahn, Head of Developer Productivity, and Amy Yuan, Director of Engineering, dive into how they elevated developer productivity to a top company priority. They discuss the pivotal role of Snowflake's CTO, who personally invested over half his time to guide the initiative, and how leadership's hands-on involvement secured buy-in across teams. The conversation also explores the importance of collaboration between engineering and product management, and how measuring user sentiment helped them deliver meaningful, long-lasting improvements.Mentions and linksConnect with Gilad and Amy on LinkedInMeasuring developer productivity with the DX Core 4Discussion Points(0:48) The need for a shift at Snowflake(3:59) Leadership involvement and prioritization of developer productivity(8:56) The partnership between engineering and product managers(20:01) From feature factory to customer outcome-focused development(27:36) Shifting measurement focus to user sentiment and customer outcomes(39:13) Gaining buy-in for sentiment metrics and tying them to business impact(51:11) How Snowflake's CTO and volunteers accelerated developer productivity improvements.

“Now more than ever, engineering leaders are being asked to be more transparent with how their work is getting done. Every single thing that an engineering team works on needs to benefit the business.” Laura Tacho is the CTO of DX and a leading voice in the world of developer experience and productivity. In this episode, we explore the ever important role of aligning developer experience with business goals and discuss the DX Core 4, a new developer productivity framework recently published by DX. Laura shares how engineering leaders can leverage intuition for data-driven decisions and effectively communicate the impact of engineering initiatives in business language. We discuss the importance of balancing business goals with engineering needs and delve into the process of building a strong business case for improving developer experience. Discover the new DX Core 4 framework as Laura breaks down its four dimensions, key metrics, and actionable strategies for measuring and enhancing developer productivity. Learn how DX Core 4 complements existing frameworks, such as DORA, SPACE, and DevEx, and why it suggests “diffs per engineer” as a valuable metric to measure. Understand the Developer Experience Index (DXI) and why internal developer platforms and AI play crucial roles in improving developer experience. Tune in to learn new valuable insights on developer experience and how to measure, communicate, and improve developer productivity effectively.   Listen out for: Career Turning Points - [00:02:13] Following Your Intuition - [00:05:36] Business Oriented Engineering Leaders - [00:08:06] Explaining Tech Debt - [00:12:01] Balancing Between Engineering and Business Focus - [00:16:53] Building a Case for Improving Developer Experience - [00:21:00] DX Core 4 - [00:22:46] DX Core 4 vs Others (DORA, SPACE, DevEx) - [00:25:19] The DX Core 4 Dimensions - [00:26:49] Diffs per Engineer - [00:30:32] Impact Dimension - [00:33:27] Measuring DX Core 4 - [00:34:59] Developer Experience Index (DXI) - [00:38:19] Impact of Implementing DX Core 4 - [00:41:54] Best Strategy to Improve Developer Experience - [00:44:26] Internal Developer Platform & AI - [00:47:52] The Importance of Talking to the Developers - [00:51:40] 3 Tech Lead Wisdom - [00:54:18] _____ Laura Tacho's BioLaura Tacho is CTO at DX, a developer experience company. She's a technology leader with a successful track record leading engineering and product development teams at companies like CloudBees, Aula Education, and Nova Credit. She's been building developer tools and working on improving developer productivity for over 10 years, all the way from the heyday of IaaS and PaaS on cloud, through Docker and containers, CI/CD, and now as part of DX. She's also an executive coach for engineering leaders and an expert in building world-class engineering organisations that consistently deliver outstanding results. Laura has coached CTOs and other engineering leaders from startups to the Fortune 500, and also facilitates a popular course on metrics and engineering team performance. Follow Laura: Website – lauratacho.com LinkedIn – linkedin.com/in/lauratacho DX Core 4 – getdx.com/research/measuring-developer-productivity-with-the-dx-core-4 Developer Productivity Metrics Course - lauratacho.com/developer-productivity-metrics-course _____ Our Sponsors Enjoy an exceptional developer experience with JetBrains. Whatever programming language and technology you use, JetBrains IDEs provide the tools you need to go beyond simple code editing and excel as a developer.Check out FREE coding software options and special offers on jetbrains.com/store/#discounts.Make it happen. With code. Manning Publications is a premier publisher of technical books on computer and software development topics for both experienced developers and new learners alike. Manning prides itself on being independently owned and operated, and for paving the way for innovative initiatives, such as early access book content and protection-free PDF formats that are now industry standard.Get a 40% discount for Tech Lead Journal listeners by using the code techlead24 for all products in all formats. Like this episode?Show notes & transcript: techleadjournal.dev/episodes/198.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

In this episode, we dive into the exciting announcements from MongoDB's recent keynote, featuring Gaurav, a Senior Product Manager specializing in developer tools. Discover how the new Intelligent Plugin and VSCode Copilot Extension are set to revolutionize the way developers interact with MongoDB.Join us as we explore the future of development with MongoDB and how these tools can significantly improve your workflow. Don't miss out on the opportunity to sign up for the Intelligent Plugin private preview and learn how to get started with the VSCode Copilot Extension today!

Hi, Spring fans! In this installment, I talk to legendary Gradle Developer Productivity Engineering guru (formerly of JFrog) and hero to the JVM-language community, Baruch Sadogursky, recorded live from Dr. Venkat Subramaniam's amazing conference, Dev2Next 2024!

Keri Olson (@ksolson20, VP AI for Code at @IBM) talks about coding assistants across the software development lifecycle, the future of agents, and domain-specific assistants.SHOW: 869SHOW TRANSCRIPT: The Cloudcast #869 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS" SHOW SPONSOR:While data may be shaping our world, Data Citizens Dialogues is shaping the conversationFollow Data Citizens Dialogues on Apple, Spotify, YouTube, or wherever you get your podcastsSHOW NOTES:IBM Watsonx Code Assistant (homepage)IBM Watsonx Code Assistant for Ansible Lightspeed (homepage)IBM Watsonx Code Assistant for Z (homepage)Topic 1 - Welcome to the show. Tell us about your background, and then give us a little bit of background on where you focus your time at IBM these days?Topic 2 - Developer code assistants have become one of the most popular areas of GenAI usage. At a high level, how mature are the technologies that augment developers today? Topic 3 - Software development has an entire lifecycle (Generate, Complete, Explain, Test, Transform, Document). It's easy for developers to just plug in a service, but is that often the most effective way to start using GenAI in the software development lifecycle? Topic 4 - Software developers are notoriously picky about what tools they use and how they use them. GenAI doesn't “guarantee” outputs. Are there concerns that if different developers or groups use different coding assistants, that it could create more challenges than it helps? Topic 5 - What is a holistic way to think about code assistants? How much should be actively engaged with developers, how much should be behind the scenes, how much will be automated or agentic in the future? Topic 6 - In the past, we essentially had “real developers” (people who wrote code) and things like Low-Code for “citizen developers” on process tasks. Do you expect to see code assistants bringing more powerful skills to people that previously hadn't identified as a real developer? (e.g. the great idea on a napkin that turns into a mobile app)FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

When measuring developer productivity, traditional output metrics might not tell the whole story. So, its essential to look at environmental, organizational, and cultural factors for a holistic view.

Click here to view the episode transcript. In this episode, Emanuel Mueller Ramos, Head of Developer Experience at Skyscanner, discusses the evolution of his team as they transitioned from focusing on frameworks and middleware to becoming a customer-centric, impact-driven organization. Emanuel details the strategies he used to gain stakeholder buy-in, why it's crucial to rethink traditional productivity metrics, and how they made a cultural shift to prioritize developer happiness and effectiveness. This conversation highlights the steps necessary to build a developer experience function that delivers meaningful impact.Mentions and links:Follow Emanuel on LinkedInMeasuring developer productivity with the DX Core 4Discussion points:(1:14) The beginning of Skyscanner's developer productivity division(3:53) Gaining stakeholder buy-in and refocusing the teams(5:57) Redefining success metrics for developer productivity(8:57) Pitching the developer experience focus to leadership(17:26) Moving from frameworks to feedback loops(20:45) Fostering a customer-centric culture(23:20) Defining the collaboration between platform and developer experience teams(26:41) Choosing the right metrics for developer experience success (31:31) Risks and challenges ahead

Become a more effective team in this CTO podcast featuring Rebecca Murphey, Field CTO of Swarmia and co-author of Build. From her years of experience working in the developer productivity organizations at Stripe and Indeed and now at Swarmia, Rebecca knows this conversation isn't just about developer metrics and productivity - it's about the broader picture

In this episode of the Leadership Exchange, John Crichton, Chief Technology Officer at Lightning Step Technologies, shares insights on balancing privacy and compliance requirements while fostering innovation in the electronic medical records (EMR) space. The discussion explores the complexities of healthcare data, the evolving use of AI to improve efficiency and patient care, and the importance of servant leadership in building high-performing teams. John also reflects on his experience transitioning from the financial services industry into healthcare, offering advice on integrating AI and developing team culture in both fields. Chapters [00:00 - 00:25] Introduction and Welcome [00:26 - 01:07] Guest Introduction: John Crichton [01:08 - 02:21] The Lack of Standardization in EMRs [02:22 - 02:52] Challenges in Clinical Trials and EMR Data [02:53 - 04:28] Balancing Innovation and Compliance in Healthcare [04:29 - 06:51] The Impact of Shifting Compliance and Privacy Concerns [06:52 - 07:10] The AI and Data Privacy Challenge in Healthcare [07:11 - 09:43] Integrating AI While Ensuring Data Security [09:44 - 12:33] Leveraging AI for Developer Productivity and Clinical Efficiency [12:34 - 15:13] AI in Enhancing Patient Care: Lightning Intelligent Assistant [15:14 - 16:41] Ethical Considerations Around AI in Healthcare [16:42 - 19:00] Comparing Regulatory Challenges: Financial Services vs. Healthcare [19:01 - 21:22] Healthcare Records and Financial Records: Privacy and Security [21:23 - 24:00] The Role of AI in Agile Development Processes [24:01 - 26:21] Leadership Lessons: Mentorship and Servant Leadership [26:22 - 29:12] Building a High-Performing Team Through Culture and Leadership [29:13 - End] Closing Remarks and Where to Find John Crighton Find John Crighton on Social Media Linkedin: https://www.linkedin.com/in/johncrighton/ Lightning Step Technologies: https://lightningstep.com/

At Meta, engineers are our biggest asset which is why we have an entire org tasked with making them as productive as possible. But how do you know if your projects for improving developer experience are actually successful? For any other product, you would run an A/B test but that requires metrics and how do you measure developer productivity? Sarita and Moritz have been working on exactly that with Diff Authoring Time which measures how long it took to submit a change to our codebase. Host Pascal talks to them about the way this is implemented, the challenges and abilities this unlocks. Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/. Links Meta Connect 2024: https://www.meta.com/en-gb/connect/ Timestamps Episode intro 0:05 Sarita Intro 2:33 Moritz Intro 3:44 DevInfra as an Engineer 4:25 DevInfra as a Data Scientist 5:12 Why DevEx Metrics? 6:04 Average Diff Authoring Time at Meta 9:55 Events for calculating DAT 10:55 Edge cases 13:15 DAT for Performance Evaluation? 20:29 Analyses on DAT data 22:29 Onboarding to DAT 23:23 Stat-sig data 25:06 Validating the metric 26:34 Versioning metrics 28:09 Detecting and handling biases 29:19 Diff coverage 30:30 Do we need DevX metrics in an AI software engineering world? 31:23 Measuring the impact of AI tools 32:23 What's next for DAT? 33:40 Outtakes 36:22

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

Today, we're joined by Simon Willison, independent researcher and creator of Datasette to discuss the many ways software developers and engineers can take advantage of large language models (LLMs) to boost their productivity. We dig into Simon's own workflows and how he uses popular models like ChatGPT and Anthropic's Claude to write and test hundreds of lines of code while out walking his dog. We review Simon's favorite prompting and debugging techniques, his strategies for sidestepping the limitations of contemporary models, how he uses Claude's Artifacts feature for rapid prototyping, his thoughts on the use and impact of vision models, the role he sees for open source models and local LLMs, and much more. The complete show notes for this episode can be found at https://twimlai.com/go/701.

Ruben Casas discusses software migrations at scale, understanding different migration patterns, making critical decisions on whether a full rewrite is necessary, and more. This episode covers all the essentials you need to navigate your next big software transformation. Links https://www.linkedin.com/in/ruben-casas-17100383 github.com/infoxicator https://www.infoxicator.com/ https://x.com/Infoxicador https://www.youtube.com/c/RubenCasas We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr)

Dr. Eirini Kalliamvakou is a senior researcher at GitHub Next. Eirini has built a career on studying software engineers, how to measure their productivity, how developer experience impacts productivity, and more. Recently, Eirini has been working on quantifying the impacts of GitHub Copilot. Does it actually help software engineers be more productive? Tristan and Eirini explore how to quantify developer productivity in the first place, and finally, arriving at whether or not Copilot‌ makes a difference. In the search for real business value, this research is a real bellwether of things to come. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs. Join data practitioners and data leaders this October in Las Vegas at Coalesce, the analytics engineering conference hosted by dbt Labs. Register now at coalesece.getdbt.com. Listeners of this show can use the code podcast20 for a 20% discount.

Welcome to another episode of Category Visionaries — the show that explores GTM stories from tech's most innovative B2B founders. In today's episode, we're speaking with Robert Whiteley, CEO at Coder, a cutting-edge developer tool that has raised $85 Million in funding. Here are the most interesting points from our conversation: The Transition to CEO: Robert discusses his journey from CMO to CEO, emphasizing how his experience in data-driven marketing and operational roles prepared him for the top position at Coder. Insights from Analyst Firms: Robert provides an insider's perspective on working with analyst firms like Forrester and Gartner, explaining how they can help validate market needs and guide product development. Analyst Relations Strategy: He advises that engaging with analysts early, even when your message is not fully refined, can be more beneficial than waiting until you have a polished product. Balancing Analyst Focus: Robert suggests that tech companies should tailor their approach to analysts based on their target market, with a focus on traditional firms for enterprise sales and a broader, volume-based strategy for mid-market and consumer-focused companies. Developer Productivity Challenge: He highlights the core mission of Coder, which is to significantly increase the time developers spend writing code by reducing the friction in their development environments. Category Creation vs. Category Adoption: Robert shares his perspective on category creation, noting that while creating a new category can be advantageous, it requires significant investment and effort. He prefers to compete in established categories and differentiate Coder's offerings.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co

Damien Filiatrault is the founder and CEO of Scalable Path, a software staffing agency that matches companies and startups with vetted, remote software developers. The company was founded in 2010, and since then has worked on hundreds of client projects and has built a freelance network with 35,000 remote developers in 177 countries. Damien joins The post Developer Productivity with Damien Filiatrault appeared first on Software Engineering Daily.

Hans Dockter, the creator of the Gradle build tool and founder of Gradle Inc, the company behind the developer productivity platform Develocity, joins SE Radio host Giovanni Asproni to talk about developer productivity. They start with some definitions and an explanation of the importance of developer productivity, its relationship with cognitive load, and the big impact that development tools have on it. Hans describes how to implement developer productivity metrics in an organization, as well as warns about some pitfalls. The episode closes with some discussion on Hans's views on the future of this discipline, as well as some near-term developments and expectations. Brought to you by IEEE Computer Society and IEEE Software magazine.

Dive into the world of AI-enhanced developer tools with Julia Oppenheim and Jad Jarouche from MongoDB. Recorded at MongoDB Local NYC, this session explores the suite of intelligent developer experiences across tools like Relational Migrator, Compass, and Charts.

Richa Gaur joins Scott Hanselman to talk about how to boost developer productivity & app efficiency with Azure Cosmos DB while building an energy optimization solution for enterprises to hit their emission targets. They start with a serverless Azure Cosmos DB account to dive into development without the hassle of capacity planning. Next, they explore how to seamlessly adjust partition keys for containers as large tenants join the platform. Finally, they transition from a serverless setup to a provisioned throughput mode, leveraging the cloud database's performance and availability guarantees to ensure your solution is both reliable and high performing. Chapters 00:00 - Introduction 01:45 - The demo app 04:56 - Adjusting partition keys (offline) 09:55 - Adjusting partition keys (online) 13:14 - Switch to provisioned throughput 16:37 - Wrap-up Recommended resources Changing the partition key in Azure Cosmos DB Container copy jobs in Azure Cosmos DB Change from serverless to provisioned capacity mode in Azure Cosmos DB for NoSQL Azure Cosmos DB serverless account type Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter/X: @SHanselman Richa Gaur | Twitter/X: @nonomadicc Azure Friday | Twitter/X: @AzureFriday Azure Cosmos DB | Twitter/X: @AzureCosmosDB

Richa Gaur joins Scott Hanselman to talk about how to boost developer productivity & app efficiency with Azure Cosmos DB while building an energy optimization solution for enterprises to hit their emission targets. They start with a serverless Azure Cosmos DB account to dive into development without the hassle of capacity planning. Next, they explore how to seamlessly adjust partition keys for containers as large tenants join the platform. Finally, they transition from a serverless setup to a provisioned throughput mode, leveraging the cloud database's performance and availability guarantees to ensure your solution is both reliable and high performing. Chapters 00:00 - Introduction 01:45 - The demo app 04:56 - Adjusting partition keys (offline) 09:55 - Adjusting partition keys (online) 13:14 - Switch to provisioned throughput 16:37 - Wrap-up Recommended resources Changing the partition key in Azure Cosmos DB Container copy jobs in Azure Cosmos DB Change from serverless to provisioned capacity mode in Azure Cosmos DB for NoSQL Azure Cosmos DB serverless account type Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter/X: @SHanselman Richa Gaur | Twitter/X: @nonomadicc Azure Friday | Twitter/X: @AzureFriday Azure Cosmos DB | Twitter/X: @AzureCosmosDB

In today's episode, we're kicking off a four-part series on the Top 10 challenges eng leaders face based on feedback from hundreds of eng leaders. In Part 1 of this mini-series, we're tackling the first four issues: developing & coaching team members, strategies for motivating & inspiring others, influencing / creating organizational buy-in, and managing up & sideways. This episode compiles some of the best insight we've gained on these issues from a collection of past ELC episodes, ELC Annual sessions, events, and more, with insight from Tara Ellis @ Netflix, Elaine Zhou @ SageCXO, Pete Peterson @ Riviera Partners, Johnny Ray Austin @ Best Egg, Jan Chong @ Tally, Matt Spitz, Laura Tacho @ DX, and Preeti Kota @ Atlassian, and Dan Kador @ Abridge.Join us at ELC Annual 2024!ELC Annual is our 2 day conference bringing together engineering leaders from around the world for a unique experience help you expand your network and empower your leadership & career growth.Don't miss out on this incredible opportunity to expand your network, gain actionable insights, ignite new ideas, recharge, and accelerate your leadership journey!Secure your ticket at sfelc.com/annual2024And use the exclusive discount code "podcast10" (all lowercase) for a 10% discountSHOW NOTES:Developing and Coaching Team Members: Best practices for building & growing your team's skills w/ Tara Ellis (0:59)Match your high performers with the right fit for their goals w/ Elaine Zhou (8:04)Influencing and Creating Buy-in: Generating & showcasing quick wins to gain buy-in w/ Pete Peterson (12:03)Communication strategies for eng leaders to create buy-in w/ Johnny Ray Austin (17:59)Managing Up and Sideways: Three key principles for effectively managing up w/ Jan Chong (23:13)Strategies for managing sideways w/ Matt Spitz (26:57)Motivating Others: Inspiring developer productivity as an eng leader w/ Laura Tacho (30:51)How leaders @ Atlassian addressed pain points & inspired developers to address them w/ Preeti Kota & Dan Kador (34:43)LINKS AND RESOURCESA Counter-Intuitive Approach to Career Growth & Internal Mobility with Tara EllisBuilding self-sufficient teams and operating in constrained funding environments with Elaine ZhouNavigating complex stakeholders, competing interests & gaining buy-in with Pete PetersonNavigating the Acquisition Journey: Insights on Transparent Communication, Team Integration, and Strategic / Operational Shifts with Johnny Ray AustinManaging Up with Jan ChongLeading beyond domain expertise & laying early-stage security program foundations with Matt SpitzMove beyond measurement & inspire developer productivity with Laura TachoDeveloper Joy: Maintaining “Flow” and Sustained Productivity with Preeti Kota and Dan KadorThis episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/