RAG-Enhanced Multi-Agent AI Framework for Automated Software Development

A RAG-enhanced multi-agent AI framework for automated software development.

A RAG-enhanced multi-agent AI framework for automated software development. As a reference project it shows how a system like this is put together in practice, which parts matter and how they are tested, so that a developer can learn from it and build on it.

It suits learners who want to practise engineering discipline: requirements, design, implementation, automated testing and measuring software quality.

The main parts are retrieval over an indexed document collection that grounds the language model's answers, cooperating agents with defined roles and tools, a clear requirements and design document, the working implementation, and automated tests with quality metrics. The reference build uses LangChain, FAISS, LLM APIs, Python, and Git, with a clear project structure, setup instructions and sample data so that it can be run and extended.