Hangar DX Podcast

"My working hypothesis is that human beings are too slow when dealing with code. If we're going to move at the speed of the agents, we're all going to have to back off a little bit and maintain high-level supervision."
On this episode of HangarDX, Ankit Jain sits down with Robert C. Martin (Uncle Bob), co-author of the Agile Manifesto and author of Clean Code, to talk about:
Why he stopped reading code, and the constraints he uses instead: unit tests, CRAP scores, mutation testing, and Gherkin,
Why code review is slowing teams down, and why only humans can be responsible for what agents produce, and
How a single engineer may now do the work of a team, and why Clean Code principles still apply.
Note: At 17:05 Uncle Bob starts sharing his screen, so we recommend watching a video version of this episode to tget the full experience: https://youtu.be/5kCISBJwoZo
Chapters
00:00 Introduction
01:48 How Uncle Bob codes today
03:12 What changed his mind about AI coding
04:52 Three constraints: unit tests, CRAP, and mutation testing
08:06 Aligning tests with intent
09:38 Gherkin and human-authored specs
11:00 Human judgment as the final arbiter
12:52 Small functions, readability, and complexity
13:20 Relaxing constraints as agents improve
13:54 Code written for agents, not humans
15:10 The future of code review and software teams
17:55 A dynamic UML tool for reviewing agent output
21:09 Architecture diagrams as a review surface
23:05 Disciplines every team needs
25:25 Why harness engineering is overrated
26:37 From harness to a single trusted agent
27:59 Are software factories doomed?
28:30 The AI exponential curve and its physical limits
29:30 Future optimizations and quantum computing
29:58 Responsibility and ownership of AI-generated code
32:26 Rewriting Clean Code for the AI era
33:30 Why Clean Code principles still apply
📫 Sign up for 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/
Replace code reviews with verified intent
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/

David Curlewis, Senior Engineering Manager at Canva, joins Ankit Jain on HangarDX to talk about what happens to platform teams when AI gives every developer a bulldozer.
Why platform teams should go down a layer and offer primitives instead of full highways, and
How inner sourcing and a graduation model help platform teams scale without fighting their own developers, about
What happens when vibe-coded dashboards go mission-critical overnight, and why outcome metrics beat volume?
Chapters
00:00 Welcome to Hangar DX
01:03 David’s platform engineering background
02:13 Why AI is changing platform teams
04:04 The golden path versus AI-built roads
07:40 Platform primitives: observability, security, and MCPs
11:46 Why platform engineering is becoming a core company function
14:56 Centralization, autonomy, and maturity
20:51 Inner source as a model for shared ownership
23:17 Designing contribution guidelines for AI agents
26:50 Intent debt, cognitive debt, and keeping specifications aligned
31:00 Why companies are building their own AI platforms
32:25 Moving from code review to reliable validation
34:50 Measuring AI productivity beyond lines of code
40:06 The return of generalist engineers
📫 Sign up for 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/
Replace code reviews with verified intent
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/

"The tools are so powerful that people actually want to manage them themselves. Everything is just moving up a tier of thinking.'"
Chris Hodges and Kevin Altschuler from Dropbox's Agentic Experience team join Ankit Jain on the HangarDX podcast to talk about why they built Nova, their internal platform for AI coding agents, instead of buying off-the-shelf. 
They also discuss:
Why owning the harness gives you leverage over cost, model selection, and the total developer experience, 
What makes Nova a platform rather than a point solution?
What it takes to get security and privacy teams on board when agents touch your most sensitive data
Where is AI engineering headed next? Agents that watch deployments, monitor logs, and message you when something's wrong
00:00 Introduction to Developer Experience and Nova
01:57 Overview of Nova: A New Development Platform
03:57 Challenges Faced by Developers Before Nova
08:34 Metrics for Success: Tracking Nova's Adoption
10:00 Capabilities of Nova: Tackling Toil and Flaky Tests
13:25 Comparing Nova with Existing Cloud-Based Tools
16:28 Nova as a Platform vs. Point Solutions
18:36 Experimentation with Goose and Future Directions
26:35 Building Reliable AI Systems
31:32 The Role of Orchestrators in AI Development
35:07 Future Challenges in AI Development
📫 Sign up for 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/
Replace code reviews with verified intent
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/

"It's not 'Do I read or not read the code.' It's "Does my attention get directed to where it's actually useful?'" 
David Poll, head of GitHub's Code & Review organization, joins Ankit Jain on the HangarDX podcast to talk about what code review actually does and why it was never really about catching bugs.
Why code review is really a taste problem, not a correctness problem, and
How PRDs, architecture docs, and design reviews are collapsing into the code review process,
Why we might be headed toward a world with 20x more unmerged PRs,
How teams can extract review decisions into institutional memory to beat AI slop with AI, about
The sliding scale of not reading code and what determines where your team should land
📫 Sign up for 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/
Replace code reviews with verified intent
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/

"As an industry, I feel like we've lost our minds. Teams are throwing away everything they've learned over the last many decades about how to effectively measure our engineering experiences. And we're not even just throwing it away. We're making negative progress."
Brian Houck, applied scientist at DX and co-author of the SPACE framework, joins Ankit Jain on the HangarDX podcast to break down what's actually happening when engineering organizations try to measure AI's impact.
Why token usage is the modern equivalent of measuring lines of code, and
What his research across eight dimensions of code quality actually found,
How calendar cleanup beat AI in PR throughput gains by 2x
Why culture—not tech stack—predicts which organizations get the most from AI, about
The case for "agent experience" as the next frontier of developer productivity
📫 Sign up for 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/
Replace code reviews with verified intent
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/