# SDLC Studio

> An agent-agnostic engineering discipline for AI coding: executable acceptance criteria, enforced planning, independent review and evidence, across every AI coding agent.

SDLC Studio is an open Agent Skill that runs the whole software development lifecycle. A request (change request or RFC) enters a discovery backlog and becomes sized delivery work (epics, stories, bugs with acceptance criteria) only via `refine`; a sprint plans, builds under TDD, verifies against executable acceptance criteria, and closes with an independent two-role review. It works across Claude Code, Cursor, OpenAI Codex, GitHub Copilot, opencode and Gemini. To install: run the one-line installer from the repository, then invoke `/sdlc-studio` or let the model invoke it from its description.

## Documentation Sets

- [Abridged documentation](https://sdlc-studio.com/llms-small.txt): a compact version of the documentation for SDLC Studio, with non-essential content removed
- [Complete documentation](https://sdlc-studio.com/llms-full.txt): the full documentation for SDLC Studio

## Notes

- The complete documentation includes all content from the official documentation
- The content is automatically generated from the same source as the official documentation

## Optional

- [GitHub repository](https://github.com/DarrenBenson/sdlc-studio)
- [Installer](https://github.com/DarrenBenson/sdlc-studio/blob/main/install.sh)