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
- Agent legibility
- Closed feedback loops
- Persistent memory
- Entropy control
- Blast radius controls
Building the harness
Other resources
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Co-hosts:
[!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind
our new direction.
