trellis-start

To automate context loading for an AI coding session, run a Python script that reads project guidelines, git status, and workflow guides from a `.trellis` directory, establishing your development context automatically.

Task classification and routing in a coding project is handled by categorizing incoming tasks for brainstorming, direct editing, or workflow-based execution using context loaded from `.trellis` files.

Yes, you need Python installed to run the initialization script. The script automates reading workflow guides, developer identity, and active tasks from a `.trellis` directory to set up your session.

Session management for resuming an AI coding project works by re-establishing project context through the `.trellis` directory, loading prior git status, active tasks, and project guidelines to seamlessly continue work.

Before automating coding session setup, you need a `.trellis` directory containing workflow guides, developer identity, git status, active tasks, and project guidelines, along with a working Python environment.

If `.trellis` files are not loading during task classification, ensure the `.trellis` directory exists with proper workflow guides and project details, and verify your Python script execution path is correct.