What problem does it solve?
Initialize AI-driven SDLC tooling by analyzing a codebase to generate documentation scaffolding and initiate standards discovery, reducing setup time and ensuring governance from day one.
Core Features & Use Cases
- Automated project analysis & standards discovery: analyzes codebase and proposes applicable coding standards from built-in baselines or external sources.
- Documentation scaffolding generation: creates the .maister/docs structure with placeholder sections and phase-driven templates.
- Phase-driven orchestration: coordinates with subagents (docs-operator, project-analyzer, and standards-discover) to complete Phases 1 through 8.
- Use Case: Fresh greenfield or legacy migration where auto-generated docs and standards scaffolding accelerate setup.
Quick Start
Initialize the AI SDLC framework for your project by running the init workflow to generate documentation scaffolding and start standards discovery.