ADD — Agent Driven Development

One dial scales the rigor. Trust your agents as much as your project has earned.
ADD is a methodology for AI-native software development built around a single control: the maturity ladder (poc → alpha → beta → ga). The ladder governs everything — how deep your specs go, whether TDD is enforced, how many agents run in parallel, which quality gates block. A throwaway prototype gets near-zero ceremony; production infrastructure gets exhaustive verification. You turn one dial; ADD cascades the rest.

AI agents write code fast. Without structure, they ship chaos. ADD brings the structure — spec-driven, test-first, independently verified, human-validated — implemented as a Claude Code plugin (with a Codex CLI adapter).

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The Maturity Ladder — one dial for the trust gradient

Autonomous agents need a trust gradient: how much you let them do should scale with how