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 controlsBuilding 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
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WebsiteCo-hosts:
Kaushik Gopal
Iury Souza [!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind