
Effective AI-assisted development requires a shared, documented language between the developer and the model. Moving beyond the "grill-me" skill, which focuses on iterative questioning, the "grill-with-docs" approach integrates a `context.md` file to establish a ubiquitous language derived from Domain-Driven Design. This structure allows the AI to understand domain-specific terminology and project constraints, resulting in more concise, accurate, and aligned outputs. Complementing this with Architectural Decision Records (ADRs) ensures that non-obvious, high-stakes design choices remain documented and traceable. By aligning the AI’s internal reasoning with the codebase’s domain language, developers achieve greater efficiency and consistency, ultimately reducing the need for verbose explanations and minimizing communication friction during the software development process.
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