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Spec-Driven Development

MethodologyLLMTDDSpecification

A methodology where detailed specifications serve as the foundation for AI-assisted development. Instead of writing vague prompts, precise specs are created that both humans and AI use as their working basis.

Why Specs Before Code

Traditional development treats code as primary and documentation as secondary. SDD inverts this — specifications become the source of truth that drives implementation. Code serves the spec, not the other way around.

What It Solves

  • Intent vs. implementation gap — Specs generate code, so there’s no disconnect between what was meant and what was built
  • Faster pivots — Change the spec, regenerate the implementation. Minutes instead of manual rewrites
  • No ambiguity — Forced clarity before coding begins. Unknowns are marked explicitly, not guessed
  • No over-engineering — Simplicity constraints prevent premature abstraction

Why It Works With AI

Specs constrain LLM output productively: no implementation details in requirements, test-first thinking before code generation, explicit uncertainty markers instead of plausible guesses. The AI becomes a disciplined engineer, not a creative guessing machine.

Combines classic TDD thinking with modern LLM workflows. Result: more consistent codebase, better AI outputs, traceable decisions.

Overview