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

1. Agent legibility
2. Closed feedback loops
3. Persistent memory
4. Entropy control
5. 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
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Co-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
our new direction.