setup

Auto-configuring review agents for a Python project involves generating a local configuration file named compound-engineering.local.md. This file detects frameworks like Django or FastAPI and maps them to workflow agents for subsequent runs.

Setting up review workflows for Django or FastAPI stacks is handled by auto-detecting project dependencies and mapping them to brainstorm, plan, work, review, and compound agents through an interactive setup process.

Yes, the agent setup process works with Celery and other common Python stacks by detecting project dependencies and allowing you to customize frameworks, databases, and focus areas during the interactive configuration.

To customize which agents run during Python code reviews, you run the interactive setup. This process builds a tailored agent list across all five workflows and writes the selections to compound-engineering.local.md.

Before running automated workflow configuration for Python, you need a configured repository with stack-detection references. The setup uses these references to detect dependencies and output the local agent configuration file.

Python stack-detection setup fails to generate the local configuration file if the repository lacks proper stack-detection references. The setup requires these references to detect dependencies and output compound-engineering.local.md successfully.