PodcastsTechnologyHangar DX Podcast

Hangar DX Podcast

Ankit Jain
Hangar DX Podcast
Latest episode

48 episodes

  • Hangar DX Podcast

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

    09/04/2026 | 35 mins.
    "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 Mapping
    05:20 Understanding Value Stream Mapping in Practice
    08:09 The Impact of AI on Value Stream Flow
    17:06 Context Switching and Flow State in Software Development
    27:48 Intentionality in Context Switching and Flow State
    35:07 Value Stream Mapping as a Superpower for AI Success
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    🙌 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/
  • Hangar DX Podcast

    How Honeycomb Is 2Xing Its Engineers with AI

    26/03/2026 | 32 mins.
    “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 AI
    02:19 Emily's Journey in Engineering and Leadership
    05:15 Navigating Career Growth in Engineering
    06:28 Cultural Shifts in Engineering Management
    09:50 The Evolving Role of Engineering Managers
    12:59 Upskilling in the Age of AI
    17:50 AI Strategy and Product Development at Honeycomb
    21:38 Measuring AI Impact and Productivity
    28:09 The Future of Observability and AI in Engineering
    About Emily Nakashima
    Emily 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.
  • Hangar DX Podcast

    Scaling AI Adoption Across Engineering Teams with Ryan J. Salva

    12/03/2026 | 41 mins.
    "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 four
    Why DevOps and SRE are the next untouched frontier of AI
    The three-step playbook for rolling out AI tools across large engineering teams without regressing on quality
    Why context, not the model, is the most important investment in AI-assisted development.
    About Ryan J. Salva
    Ryan 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.
  • Hangar DX Podcast

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

    26/02/2026 | 36 mins.
    “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 Repositories
    01:37 Managing Repositories in Large Organizations
    05:24 Monorepo vs. Multirepo: Pros and Cons
    07:53 Challenges of Merge Queues and Deployment at Scale
    13:02 GitHub Merge Queue Limitations and Solutions
    15:36 Batching, Stability, and Deployment Strategies
    19:16 Train Method of Deployment and Rollbacks
    22:37 Build Systems, Bazel, and Build Avoidance
    23:20 Impact of Flaky Tests and Automation
    28:46 Adopting Merge Queues and Cultural Challenges
    34:11 AI in Development: Opportunities and Risks
    37:41 Closing Remarks and Resources

    About Jon Block
    Jon 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 Code
    AI 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/
  • Hangar DX Podcast

    Engineering Discipline in the AI Era with Dave Farley

    12/02/2026 | 37 mins.
    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 Experience
    02:13 Dave Farley's Journey in Software Engineering
    08:23 The Impact of AI on Software Development
    11:00 AI Tools and Their Role in Coding
    16:39 The Importance of TDD and BDD in AI Development
    20:37 Testing and Feedback Loops in AI Programming
    25:30 Navigating Ambiguity in Specifications
    29:29 Future of Software Architecture with AI
    34:55 Adapting to AI in Software Engineering Practices
    37:28 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 â€Ș@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/

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About Hangar DX Podcast

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