What this is

RepoEngine is a unified engineering knowledge platform. It sits at the intersection of code understanding, decision history, and documentation — treating them as one interconnected surface rather than separate systems.

The core premise is that a codebase is more than source files. It includes the reasoning behind architectural choices, the context that led to tradeoffs, and the documentation that explains intent. RepoEngine attempts to make all of this searchable and traversable together.

Why it exists

Engineering teams accumulate knowledge in scattered places. Decisions live in Slack threads that expire. Architecture rationale sits in RFC documents nobody can find. Code comments explain what but rarely why. When someone leaves, their context leaves with them.

I wanted to build something that treats organizational memory as a first-class concern — not as an afterthought bolted onto existing tools.

What problem it is trying to solve

The problem is not a lack of information. The problem is fragmentation and decay.

Engineers spend significant time reconstructing context that once existed but was never preserved in a way that could be retrieved later. RepoEngine is an attempt to reduce that reconstruction cost by keeping references, decisions, and code understanding linked and accessible.

Current state

The platform is in active development. Core functionality around codebase indexing and reference linking is working. I am iterating on how to surface relevant context without overwhelming users with noise.

There is a working prototype and a small group of early users providing feedback.

How I think about its future

I care more about transparency and accurate references than flashy AI demonstrations. The goal is not to impress with capabilities but to be genuinely useful for daily engineering work.

If RepoEngine becomes the place where engineers go to understand why something was built a certain way — and they trust what they find there — that would be a meaningful outcome. I am not trying to replace documentation systems or code search tools. I am trying to connect them in a way that makes the whole more useful than the parts.

Technologies: LangChain, RAG Systems, Vector Databases, Python

Related Projects: Sparrow Intelligence | Mindent