context-driven-development

You can maintain project context artifacts by automating the creation and synchronization of structured documentation files like product.md, tech-stack.md, workflow.md, and tracks.md alongside your codebase. This ensures consistent context management throughout ongoing project evolution.

Context-driven development for brownfield onboarding involves extracting existing project context from the codebase and validating artifact consistency. It automatically derives and scaffolds structured product and technical documentation to align new team members with the current project state.

Yes, you can generate product and technical documentation for greenfield projects through an interactive setup process. This governance approach automatically scaffolds initial context artifacts and establishes deterministic generation to ensure AI alignment from the start.

Consistency checks for project documentation files work by validating the interrelationships between artifacts like product.md, tech-stack.md, workflow.md, and tracks.md. This deterministic synchronization ensures your documentation matches the current codebase state during ongoing evolution.

The best way to structure workflow and tech stack documentation for AI interactions is treating project context as a first-class artifact. This involves maintaining structured markdown files for product, technical, and workflow details alongside code to enable consistent AI alignment and team knowledge retention.