rfxn/rdf
20 stars · Last commit 2026-10-28
Spec-driven governance for AI coding agents: project conventions, adversarial quality gates and a spec-to-ship pipeline for Claude Code, Codex and Antigravity CLI
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# RDF: rfxn Development Framework [](https://github.com/rfxn/rdf/actions/workflows/ci.yml) [](LICENSE) [](https://github.com/rfxn/rdf/releases/latest)   **Governance-driven AI development for teams that ship to production.** RDF is a convention governance layer for AI coding agents. It sits between the human and the AI runtime (Claude Code, Codex, Antigravity CLI, plus Gemini CLI legacy), encoding project conventions, quality gates, and domain expertise into typed agent personas, so the AI writes code that actually follows your rules. > **Drop it on any repo.** `/r-init` auto-detects your stack and scaffolds governance, quality gates, and typed agent personas; no rfxn context required. Battle-tested on production security tooling (APF, LMD, BFD), built to generalize. The value is the pattern: governance-driven agents, adversarial quality gates, convention inheritance, and context-window management. *Issues and PRs welcome; support is best-effort and community-driven.* **[Quickstart: your repo in 5 minutes ->](docs/quickstart.md)** --- <p align="center"> <img src="assets/demo.gif" alt="Real session: clone, generate, deploy, init a Flask project, doctor: 0 FAIL" width="100%"/> </p>