Python CLI for an AI-assisted development lifecycle inside a target repository: scan documentation, plan work as issues, implement with provider-backed agents, verify, and report.
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e ".[dev]"
aidlc init --project /path/to/target-repo
aidlc run --project /path/to/target-repoIsolated CLI install (optional):
pipx install --editable '/path/to/aidlc/checkout[dev]'- Python: 3.11+
- Providers: Configure Claude CLI, OpenAI Codex CLI, GitHub Copilot CLI, etc. per the target repo’s
.aidlc/config.json(see docs/configuration.md). Usedry_run: trueor--dry-runto exercise flows without calling a provider.
All guides and reference material (commands, config, auditing, coverage, deployment) are in [docs/](docs/README.md). Start at the documentation index.
Install from a git checkout or a built wheel; entry point aidlc. See docs/deployment.md.