307 - Harness Engineering - the hard part of AI coding

The hard part of AI coding isn't generating code — it's controlling quality, safety, and drift. Kaushik and Iury break down harness engineering: the five pillars for shaping an agent's environment and what it looks like when teams build custom harnesses from scratch. Full shownotes at fragmentedpodcast.com . Show Notes Why it matters Harness Engineering - OpenAI's post on building their Codex codebase (~1M lines of code, 1,500 PRs merged, zero manually written) Shaping the harness The Feed's Lost and Found - Iury's newsletter consolidating harness engineering themes Agent legibility Closed feedback loops Persistent memory Entropy control Blast radius controls Building the harness Minions: Stripe's one-shot, end-to-end coding agents - Stripe forked Goose to build custom agents for their codebase Goose - open-source coding agent from Block Superpowers by Jesse Vincent - skills that enforce a proper software engineering process Open Code - open-source coding agent you can fork and customize Other resources Agent Harness Glossary - Latent Patterns Towards self-driving codebases - Cursor Agentic Workflows - GitHub Next Future of Software Development - ThoughtWorks Get in touch We'd love to hear from you. Email is the best way to reach us or you can check our contact page for other ways. We want to hear all the feedback: what's working, what's not, topics you'd like to hear more on. Contact us Newsletter Youtube Website Co-hosts: Kaushik Gopal Iury Souza [!fyi] We transitioned from Android development to AI starting with Ep. . Listen to that episode for the full story behind our new direction.

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307 - Harness Engineering - the hard part of AI coding is an episode from Fragmented - The Software Podcast by Kaushik Gopal.

This episode is 00:29:55 long.

This episode was published on Mar 17, 2026.

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