context-driven-development

To maintain consistent AI behavior, you need structured project context documents like product.md, tech-stack.md, and workflow.md. Treating context as a managed artifact provides a stable foundation, ensuring predictable AI outputs and team alignment instead of relying on ad-hoc prompts.

The best way to document team workflow and technology stack is by maintaining structured context files. Defining product vision, tech-stack, and workflow as first-class artifacts enables new developers to instantly understand the project and contribute effectively with AI assistance from day one.

To set up project context for a brownfield project, establish core context documents using defined maintenance principles and validation checklists. This approach manages existing project context as a structured artifact, capturing the current product vision, technology stack, and team workflow.

Yes, you can use structured context documents to align AI with your product vision. By establishing a single source of truth through files like product.md, tech-stack.md, and workflow.md, you ensure AI interactions consistently reflect your project goals and constraints.

Treating project context as an artifact works for both greenfield and brownfield setups. It establishes and maintains structured context documents using defined maintenance principles and validation checklists, ensuring consistent AI alignment regardless of project age or existing codebase complexity.