Spec-driven development frameworks we track: how each one works, which tools it supports, how mature it is, and which real projects use it. Missing one? Submit it.
Matt Pocock's composable family of agent skills built around "grilling" — a relentless one-question-at-a-time interview that aligns human and agent before code is written — chaining into spec, tickets, and TDD implementation.
Open-source toolkit from GitHub that scaffolds a phase-gated, spec-first workflow into any of 40+ AI coding agents.
Change-folder-based SDD for AI coding assistants — fluid, iterative, and explicitly built for brownfield codebases, not just greenfield.
Agile AI development framework that simulates a full team of specialized agent personas across a four-phase lifecycle, scaling its ceremony to project complexity.
Context-engineering-first SDD loop — fresh-context subagents, persistent state artifacts, and phase-gated milestones — continued by the community OpenGSD org after the original repo was archived.
Standards-first system that extracts your codebase's real conventions and injects them into agent context to shape better specs.
Requirements-centric SDD that adapts the Unified Process for AI: use cases owned by requirements engineers, with code, tests, and docs regenerated around them.
AWS's agentic IDE where specs are a native feature: requirements, design, and task artifacts with approval gates, living in .kiro/ inside the repo.