Hangar DX Podcast

Ankit Jain
  • 5.0 (3)
  • TECHNOLOGY
  • UPDATED BIWEEKLY

The Hangar DX podcast focuses on developer experience and learning how different companies solve developer productivity challenges at scale. www.aviator.co/podcast

  1. 1D AGO

    All In on Claude Code at 400-Engineer Scale with Brian Scanlan, Intercom

    "You assemble a senior engineer out of hundreds of these skills. Each one is a little building block. We take the time and sweat the details on making sure they are great and almost near perfect at what they do." In this episode of the HangarDX podcast, Ankit Jain, co-founder and CEO of Aviator, talks to Brian Scanlan, Senior Principal Engineer at Intercom, about how Intercom set a goal of doubling engineering throughput with AI, why low-quality skills are worse than no skills at all, and how a platform team of eight is enabling 400 engineers to make all technical work agent-first. 00:00 Developer Experience and AI03:01 Intercom's Engineering Team and AI Integration05:49 Building a Skills Framework for Developer Productivity08:55 Data-Driven Insights and Skill Improvement12:05 Quality Control in Skills Development14:40 Managing Context and Skill Overlap18:00 Self-Improving Skills and Knowledge Systems20:53 Ownership and Maintenance of Skills23:43 Encouraging Adoption of AI Tools26:52 Building Trust for Production Access29:50 Business Continuity and Multi-Provider Strategies Brian's blog post: https://ideas.fin.ai/p/how-we-use-claude-code-today-at-intercom 📫 Sign up to our email list for more podcasts, articles, events, and other updates: https://www.aviator.co/podcast ✏️ Subscribe for more videos: @Aviator-Co 🙌 Join a curated community of senior engineers and engineering leaders focused on developer experience and solving productivity challenges at scale! Check out our upcoming off-the-record online sessions where vetted, experienced professionals can exchange ideas and share hard-earned wisdom: https://dx.community/

    43 min

  2. APR 9

    Are You Using AI to Go Faster in the Wrong Direction? | Steve Pereira on Flow and Engineering

    "We can be in a flow state running in the wrong direction. Unless you can tie all your actions back to your strategic imperative, you might look back in five years and think: That was fun, but could I have gotten further?" In this episode of the HangarDX podcast, Ankit Jain, co-founder and CEO of Aviator, talks to Steve Pereira, lead consultant at Visible Value Stream Consulting and co-founder of the Flow Collective, to discuss where AI is genuinely moving the needle versus just generating more code to review, how to think about context switching and flow state when AI makes task-switching cheaper than ever, and how teams can use value stream mapping as a framework for getting AI adoption right. 00:00 Introduction to Developer Experience and Value Stream Mapping05:20 Understanding Value Stream Mapping in Practice08:09 The Impact of AI on Value Stream Flow17:06 Context Switching and Flow State in Software Development27:48 Intentionality in Context Switching and Flow State35:07 Value Stream Mapping as a Superpower for AI Success 📫 Sign up to our email list for more podcasts, articles, events, and other updates: https://www.aviator.co/podcast ✏️ Subscribe for more videos: @Aviator-Co 🙌 Join a curated community of senior engineers and engineering leaders focused on developer experience and solving productivity challenges at scale! Check out our upcoming off-the-record online sessions where vetted, experienced professionals can exchange ideas and share hard-earned wisdom: https://dx.community/

    36 min

  3. MAR 26

    How Honeycomb Is 2Xing Its Engineers with AI

    “Our internal target is to 2X our impact with AI over one year. Unlike some more outlandish mandates, that one is both aspirational and achievable,” says Emily Nakashima, SVP of Engineering at Honeycomb. In this episode of The Hangar DX podcast, Emily shares how Honeycomb approached AI adoption at scale and why they try not to focus on metrics that can be gamed but rely more on self-reporting by developers. Emily also discusses:- Why flattening org charts is a short-term optimization that will cost companies later- How Honeycomb issued a company-wide 2X mandate and what actually happened when they did- Why the "buffet phase" of AI tool adoption is over and what a structured rollout looks like- Why self-reporting beats hard metrics when measuring AI's impact on your team- Why observability is more critical than ever in a world of non-deterministic AI-generated code- Why AI SRE tools demo well but often fall short, and what they need to actually work 00:00 Introduction to Developer Experience and AI02:19 Emily's Journey in Engineering and Leadership05:15 Navigating Career Growth in Engineering06:28 Cultural Shifts in Engineering Management09:50 The Evolving Role of Engineering Managers12:59 Upskilling in the Age of AI17:50 AI Strategy and Product Development at Honeycomb21:38 Measuring AI Impact and Productivity28:09 The Future of Observability and AI in Engineering About Emily NakashimaEmily serves as SVP of Engineering at Honeycomb. A former manager and engineering leader at multiple developer tools companies, including Bugsnag and GitHub, Emily is passionate about building best-in-class, consumer-quality tools for engineers. She has a background in product engineering, performance optimization, client-side monitoring, and design.About Hangar DX (dx.community)The Hangar is a community of senior DevOps and senior software engineers focused on developer experience. This is a space where vetted, experienced professionals can exchange ideas, share hard-earned wisdom, troubleshoot issues, and ultimately help each other in their projects and careers.

    32 min

  4. MAR 12

    Scaling AI Adoption Across Engineering Teams with Ryan J. Salva

    "The future is already here, it's just unevenly distributed.", says Ryan J. Salva, Google and GitHub dev tools veteran. Ryan also shares:How OpenAI nearly took down GitHub's servers and how that incident seeded the creation of Copilot The five stages of autonomous engineering and why most teams are stuck between stage three and fourWhy DevOps and SRE are the next untouched frontier of AIThe three-step playbook for rolling out AI tools across large engineering teams without regressing on qualityWhy context, not the model, is the most important investment in AI-assisted development. About Ryan J. SalvaRyan is an experienced developer, product manager, and founder with 25 years of experience building developer tools at startups, Microsoft. GitHub, and now Google. Ryan leads product teams responsible for developer onboarding, code authoring, build and deployment systems, logging, observability, and end-to-end developer experiences. About Hangar DX (https://dx.community/)The Hangar is a community of senior DevOps and senior software engineers focused on developer experience. This is a space where vetted, experienced professionals can exchange ideas, share hard-earned wisdom, troubleshoot issues, and ultimately help each other in their projects and careers. We invite developers who work in DX and platform teams at their respective companies or who are interested in developer productivity.

    41 min

  5. FEB 26

    Build, Deploy, and Merge Queues at Scale with Jon Block

    “Engineers don’t always like merge queue because they have to wait longer for their PRs to merge. But the trade-off is that the quality of those merges will be higher, and the company will have less downtime and outages,” says Jon Block, founder of LowRouchAdvisor.  Using a merge queue is like wearing a seatbelt, he adds, the only responsible thing to do for large engineering organizations that ship products that matter. Jon also shares best practices and lessons learned about scaling build and deploy from his 26 years of experience.  Chapters 00:00 Introduction to Developer Experience and Scaling Repositories01:37 Managing Repositories in Large Organizations05:24 Monorepo vs. Multirepo: Pros and Cons07:53 Challenges of Merge Queues and Deployment at Scale13:02 GitHub Merge Queue Limitations and Solutions15:36 Batching, Stability, and Deployment Strategies19:16 Train Method of Deployment and Rollbacks22:37 Build Systems, Bazel, and Build Avoidance23:20 Impact of Flaky Tests and Automation28:46 Adopting Merge Queues and Cultural Challenges34:11 AI in Development: Opportunities and Risks37:41 Closing Remarks and Resources About Jon BlockJon Block has spent 26 years in software engineering, nearly all of it at high-growth startups. He has served as VP of Engineering and CTO multiple times and today advises engineering organizations through his firm, Low Touch Advisors. About Hangar DX (https://dx.community/)The Hangar is a community of senior DevOps and senior software engineers focused on developer experience. This is a space where vetted, experienced professionals can exchange ideas, share hard-earned wisdom, troubleshoot issues, and ultimately help each other in their projects and careers. We invite developers who work in DX and platform teams at their respective companies or who are interested in developer productivity. Verify AI CodeAI writes code faster than humans can review it. Aviator Verify provides compliance-grade verification through spec-driven development. Ship faster with complete audit trails. https://verify.aviator.co/

    37 min

  6. FEB 12

    Engineering Discipline in the AI Era with Dave Farley

    The way that AI is changing software engineering is a bigger shift than object-oriented programming, the internet, and Agile together.", says Dave Farley, author of Continuous Delivery and Modern Software Engineering. Dave also shares why programming languages were designed to help engineers decompose problems into smaller chunks, the three fundamental problems of AI coding, why verification becomes the bottleneck in AI-assisted coding, and why engineering discipline, test-driven development, and behavior-driven development matter even more in this new era. 00:00 Introduction to Developer Productivity and Experience02:13 Dave Farley's Journey in Software Engineering08:23 The Impact of AI on Software Development11:00 AI Tools and Their Role in Coding16:39 The Importance of TDD and BDD in AI Development20:37 Testing and Feedback Loops in AI Programming25:30 Navigating Ambiguity in Specifications29:29 Future of Software Architecture with AI34:55 Adapting to AI in Software Engineering Practices37:28 Conclusion and Future Perspectives About Dave Farley Dave is a pioneer of continuous delivery, a thought leader and expert practitioner in CD, DevOps, TDD, and software design, and shares his expertise through his consultancy, YouTube channel ‪@ModernSoftwareEngineeringYT‬ , books, and training courses. Dave co-authored the definitive book on Continuous Delivery and has published Modern Software Engineering. About Hangar DX (https://dx.community/)The Hangar is a community of senior DevOps and senior software engineers focused on developer experience. This is a space where vetted, experienced professionals can exchange ideas, share hard-earned wisdom, troubleshoot issues, and ultimately help each other in their projects and careers. We invite developers who work in DX and platform teams at their respective companies or who are interested in developer productivity.More: https://dx.community/

    37 min

  7. JAN 29

    Platform Engineering Is Not a Tool

    One of the most common mistakes organizations make is equating platform engineering with a piece of software. Backstage is the most visible example. Teams adopt it and declare that they now “have a platform.” In this episode of the HangarDX podcast, Ankit Jain, co-founder and CEO of Aviator, talks with Ajay Chankramath, founder & CEO of Platformetrics, about what platform engineering really means in practice. Ajay discusses why platform engineering should be treated as a set of capabilities rather than a tool, how domain-driven platform engineering connects business intent to infrastructure, why “vibe coding” infrastructure with AI is risky, and how engineering leaders should think about ROI, observability, and supervised AI as adoption accelerates. 00:00 Introduction to Developer Experience and Platform Engineering01:35 Defining Platform Engineering and Its Evolution05:59 Backstage is not Platform Engineering12:37 Understanding Maturity in Platform Engineering18:21 Domain-Driven Platform Engineering Explained26:16 The Impact of AI on Platform Engineering About Ajay ChankramathAjay has 3+ decades of technology leadership experience and is currently the CEO of platformetrics. He is the co-author of Effective Platform Engineering. His current interests are around improving developer productivity using domain-driven platform engineering. About Hangar DX (https://dx.community/)The Hangar is a community of senior DevOps and senior software engineers focused on developer experience. This is a space where vetted, experienced professionals can exchange ideas, share hard-earned wisdom, troubleshoot issues, and ultimately help each other in their projects and careers. We invite developers who work in DX and platform teams at their respective companies, or who are interested in developer productivity.

    37 min

  8. JAN 15

    The Gap Between AI Hype and Developer Productivity

    “How much productivity is AI actually giving your engineering teams?” is the wrong question. In this episode of the HangarDX podcast, Ankit Jain, co-founder and CEO of Aviator, talks with Yegor Denisov-Blanch, researcher at Stanford University, about how engineering productivity is actually measured—and what the data says about AI’s impact on software teams. Yegor shares insights from large-scale studies on developer output, why early AI productivity claims were overstated, how high-performing teams compound their gains, why some teams see no benefit at all, and what engineering leaders should (and shouldn’t) measure when rolling out AI across the software development lifecycle. 00:00 Introduction to Developer Productivity Research06:12 Research Methodology and Expert Evaluations10:35 Impact of AI on Developer Productivity18:56 Invisible Contributions and Team Dynamics24:59 Navigating Speed in Startups vs. Enterprises26:34 The Role of AI in Productivity Gains28:24 Measuring AI Usage and Results30:14 Experimentation and Adaptation in AI33:40 Understanding Ghost Engineers38:07 Remote Work and Performance Dynamics About Yegor Denisov-BlanchYegor helps software engineering teams make better decisions with data.Currently he is a researcher at Stanford University. Previously, Yegor led digital transformation at DHL, and was a national champion Olympic weightlifter.  About Hangar DX (https://dx.community/)The Hangar is a community of senior DevOps and senior software engineers focused on developer experience. This is a space where vetted, experienced professionals can exchange ideas, share hard-earned wisdom, troubleshoot issues, and ultimately help each other in their projects and careers. We invite developers who work in DX and platform teams at their respective companies, or who are interested in developer productivity.

    43 min
See All (49)

5
out of 5
3 Ratings

About

The Hangar DX podcast focuses on developer experience and learning how different companies solve developer productivity challenges at scale. www.aviator.co/podcast

Information

  • Creator
    Ankit Jain
  • Years Active
    2024 - 2026
  • Episodes
    49
  • Rating
    Clean
  • Copyright
    © dx.community
  • Show Website
    Hangar DX Podcast

You Might Also Like