context-driven-development

Manage project context as a first-class artifact by maintaining structured files like product.md, tech-stack.md, and workflow.md. This approach provides AI assistants with a consistent source of truth, ensuring predictable and aligned outputs across development sessions.

Documenting project workflows for AI alignment involves organizing product vision, technical stack, and development processes into distinct markdown files. This structured artifact management ensures AI tools understand team conventions and constraints before generating code or suggestions.

Run the conductor:setup command to initialize project context artifacts for a new project. This interactively generates and validates structured documentation files like product.md and tech-stack.md, supporting both greenfield and brownfield project setups.

Yes, structured context management supports both greenfield and brownfield project setups. It interactively generates and validates documentation artifacts, allowing you to retrofit structured product and technical context into existing codebases to align AI interactions.

AI assistants lose technical stack context because project documentation is not treated as a managed artifact. Without persistent files like tech-stack.md, the AI lacks a consistent source of truth, causing unpredictable outputs and lost alignment between sessions.