ai-sdlc-framework/ai-sdlc

A process framework for AI-first software development focused on the pre-coding phases

Spec-Driven Development with organizational governance. Specs tell AI agents what to build; Charter governs how they build it. Git-native missions, enforceable workflows, and consistent engineering standards across AI coding agents and harnesses.

Governance framework for AI coding agents. It runs them through a five-step workflow (plan, build, review, test, ship) where no step counts as done without evidence. Drop-in rules and guardrails for Claude Code, Codex, Cursor, Copilot, and Antigravity, via AGENTS.md.

AI agent for end-to-end software development, from requirements to operations.

A governance harness for AI coding.

AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents

RaiSE Framework — Reliable AI-assisted Software Engineering. Lean methodology + deterministic toolkit for building production software with AI.

Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until criteria pass. Works with Claude Code, Codex CLI, Gemini CLI, Cursor, and more. No SDK. No package. Markdown + YAML + bash.

Reusable Codex + Claude Code skill and plugin implementing Anthropic's AI-Native SDLC: Plan → Design → Build → Test → Deploy → Maintain, with human approval gates at every handoff.