Coding Agents, Chaos, and the Future of Dev Work with Dexter Horthy

About this episode

Corey Quinn interviews Dexter Horthy about the misconceptions engineers have regarding AI and coding agents, exploring the evolution of developer workflows and the importance of context in AI systems.

In this episode, Corey Quinn sits down with Dexter Horthy, CEO and Co-founder of Human Layer, to unpack what engineers are getting wrong about AI, especially when it comes to coding agents. From the obsession with “just throwing more tokens at the problem” to the reality of building scalable AI workflows, Dexter shares hard-earned insights on how to actually push models to their limits. They dive into the evolution of developer workflows, the rise of AI-powered software factories, and why understanding context and verification matters more than raw model power. If you’re building with AI or trying to, this episode will challenge how you think about what these systems can (and can’t) do. Show highlights: (00:00)Throwing Tokens Too Far (01:04) Meet Dexter Horthy (01:52) Personal AI Benchmarks (04:12) Human Layer Race Condition (05:59) Rewrites and Tech Debt (07:19) Software Factories Mindset (10:20) Verifiable Problems and Token Limits (13:45) Agents in the Trenches (18:05) GitHub at Agent Scale (26:23) Safety Ethics and Closing Thoughts About Dexter: Dexter Horthy is the CEO and Co-Founder of HumanLayer, where he helps engineering teams tackle complex problems in large codebases…

People in this episode

Host: Corey Quinn

Guest: Dexter Horthy

Topics covered

• AI in coding
• developer workflows
• scalable AI
• coding agents
• software factories
• context in AI

Keywords

• AI workflows
• coding agents
• developer tools
• software engineering
• AI challenges
• context verification

Mentioned in this episode

Organizations: Human Layer, NASA JPL, Replicated

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