context-driven-development

To keep AI aligned, manage project context artifacts like product and tech-stack documentation as code. This ensures AI interactions are grounded in a consistent, up-to-date understanding of your project goals and constraints.

Context-driven development is a methodology that treats documentation artifacts as first-class managed entities. Use it when starting new features to ensure all relevant context documents are reviewed before development begins.

Set up a new project with Conductor by creating structured documentation files like product.md, tech-stack.md, and workflow.md. This organizes project vision, tech stack, and workflows into manageable artifacts.

Yes, you can manage existing documentation as code with no external dependencies. The skill organizes your project vision, tech stack, and workflows into distinct files to maintain team consistency.

Your AI loses track because project context is not maintained as living documentation. Enforcing the principle of context preceding code ensures the AI understands product goals before development begins.

The best way to maintain living documentation is to treat context artifacts as code. This approach organizes product, tech-stack, and workflow relationships, ensuring team consistency and continuous AI alignment.