ai-driven-dev/framework

What it solves

It provides an enterprise-grade Software Development Life Cycle (SDLC) framework that integrates directly into AI coding tools. It aims to unify engineering teams around standardized workflows and shared best practices to reduce technical debt and handle both modern stacks and legacy systems.

How it works

The framework installs a set of skills, agents, commands, and rules into AI coding tools (such as Claude Code, Cursor, Copilot, or Codex). It uses a modular plugin system to automate the journey from a rough idea to a shipped pull request through a structured loop: framing the need, planning, implementing, validating, reviewing, and shipping.

Who it’s for

Engineering teams and developers who use AI coding assistants and want a professional, standardized process for shipping high-quality software.

Highlights

• IDE Agnostic: Compatible with multiple tools including Claude Code, Cursor, GitHub Copilot, Codex, and OpenCode.
• Modular Plugin System: Includes specialized plugins for context management (aidd-context), development (aidd-dev), version control (aidd-vcs), product management (aidd-pm), refinement (aidd-refine), and orchestration (aidd-orchestrator).
• End-to-End Automation: Features an orchestrator that can autonomously move a feature from framing to a pull request.
• Token-Optimized: Designed to be efficient with LLM token usage.