context-driven-development

You can maintain AI alignment by managing project context as a first-class artifact using structured Markdown files. This ensures AI assistants operate with a consistent, up-to-date understanding of your project scope and processes.

The best way to set up project documentation is establishing structured documents like `product.md`, `tech-stack.md`, `workflow.md`, and `tracks.md`. This method manages project context to ensure team consistency and predictable outputs.

You can track work units and update project vision by applying context-driven development to review and update relevant context documents. This provides a clear foundation for the development task and maintains ongoing synchronization.

Yes, context-driven development requires interactive setup to establish and maintain your technology stack documentation. It manages structured Markdown files to align AI assistants and ensure team consistency throughout the project lifecycle.

Your AI assistant loses project scope understanding because project context is not managed as a first-class artifact. Treating documentation as a managed artifact ensures AI alignment and a consistent understanding across sessions.

Using Markdown files for project context management requires ongoing synchronization of documentation artifacts to prevent misalignment. You must continuously update structured documents to maintain AI alignment and team consistency throughout development.