Hangar DX Podcast

"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.

“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.
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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 ‪@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/

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 Engineering
01:35 Defining Platform Engineering and Its Evolution
05:59 Backstage is not Platform Engineering
12:37 Understanding Maturity in Platform Engineering
18:21 Domain-Driven Platform Engineering Explained
26:16 The Impact of AI on Platform Engineering
About Ajay Chankramath
Ajay 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.

“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 Research
06:12 Research Methodology and Expert Evaluations
10:35 Impact of AI on Developer Productivity
18:56 Invisible Contributions and Team Dynamics
24:59 Navigating Speed in Startups vs. Enterprises
26:34 The Role of AI in Productivity Gains
28:24 Measuring AI Usage and Results
30:14 Experimentation and Adaptation in AI
33:40 Understanding Ghost Engineers
38:07 Remote Work and Performance Dynamics
About Yegor Denisov-Blanch
Yegor 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.