AWSKnown publisherawslabs/AutoHelix/AGENTS.md

AutoHelix

AGENTS.md22 starsChanged 4 months agoApache-2.0View on GitHub

Guidance for AI coding agents working on the AutoHelix codebase. This mirrors the conventions in CLAUDE.md — read that for full detail. - AutoHelix runs AI agents in an iterative optimization loop. Each iteration is isolated in a git worktree, validated against constraints, and only merged when it passes. Start in src/autohelix/harness.py. - See README.md for user-facing docs and the config reference. - Setup: activate the venv first (source .venv/bin/activate). The package is an editable install — edits under src/autohelix/…

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- CLAUDE.mdCLAUDE.md
- workflow-optimizationSkill

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AGENTS.md

Guidance for AI coding agents working on the AutoHelix codebase. This mirrors the conventions in CLAUDE.md — read that for full detail.

Quick orientation

AutoHelix runs AI agents in an iterative optimization loop. Each iteration is isolated in a git worktree, validated against constraints, and only merged when it passes. Start in src/autohelix/harness.py.
See README.md for user-facing docs and the config reference.

Working rules

Setup: activate the venv first (source .venv/bin/activate). The package is an editable install — edits under src/autohelix/ are live, no reinstall needed.
Test before you finish: pytest (fast suite). Use pytest -m slow only when a real agent is needed.
Do not commit optimized example code — examples/ must keep the slow baseline so users can see the optimization potential.
Don't break backward compatibility in config parsing: new config keys should be optional and gated, so existing autohelix.yaml files keep working.

For architecture notes, gotchas, and project layout, see CLAUDE.md.

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