Six "Slop-Free Zone" principles for keeping AI coding agents under control
MaryamMiradi · x · 2026-10-17
An AI engineer talk proposed Slop-Free Zones for building AI coding agents (Claude Code, Codex): give agents freedom where experimentation is cheap and enforce human review where mistakes are expensive. The poster condensed it into 6 principles:
- Keep trying new models: benchmark speed, cost, and error rate when new tools drop; don't build workarounds for what tools will soon ship natively
- Don't overcomplicate your setup: use existing tools; build custom workflows only when needed
- Create Slop-Free Zones: mark files agents can't touch without approval; require human review for DB changes, security settings, and critical code; keep AGENTS.md, CLAUDE.md, and skill files accurate—one bad instruction repeats forever
- Give agents the right information: store knowledge from Slack/meetings/docs where agents can search it, instead of stuffing everything into prompts
- Let agents work independently: run them in safe, separate workspaces that survive your laptop closing
- Lead like an orchestra: assign distinct tasks, review before merging, keep humans in charge of key decisions
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