What is the Goal of SDD?

The main goal of SDD is to elevate the level of abstraction in development, shifting the developer's focus from "writing code" to becoming an "architect of intention".

By adopting this approach, the aims are to:

• Provide rich context to AI: An AI without context acts like an intern on their first day of work. Specs provide the background and project rules, reducing the chance of the AI inventing inappropriate solutions (hallucinations).
• Avoid technical debt and Context Drift: It prevents AI from breaking the system when trying to fix bugs without understanding the global architecture, and fights the silent accumulation of problems in AI-generated codebases.
• Eliminate ambiguity: AI models try to fill gaps in vague instructions (e.g., "improve user experience") without warning. SDD enforces the provision of clear and precise operational limits.
• Enable validation loops: AI agents can compare the code they generate directly against the acceptance criteria listed in the specification (Verifier Agent), approving the implementation even before human review.

This last point is exactly what oh-my-sdd-implement does at the end of its run: it compares the code it just wrote against the acceptance criteria checklist in spec.md and reports which ones were met.