What is Repowise?

AI coding agents are blind. They read files one at a time, grep for symbols, and burn tokens figuring out what a human engineer would know in five minutes. Repowise fixes that.

We give AI agents structural understanding of codebases through 5 intelligence layers: Graph (AST + dependency analysis via NetworkX, Leiden clustering, PageRank), Git (hotspots, ownership maps, co-change patterns, bus factor), Docs (auto-generated wiki stored in LanceDB), Decisions (architectural intent extraction), and Code Health (12 biomarkers per file, 1-10 scores, zero LLM). 9 MCP tools expose all of it.

The result: ~70% fewer tool calls and ~60% fewer file reads versus bare agents on real tasks.

Why sponsor?

Repowise is AGPL-3.0. The core stays open.

Every AI coding tool today reads code like a junior dev on day one. File by file, no context, no memory of what changed last week or who owns what. We're building the intelligence layer that fixes this for everyone.

Right now Repowise works. 9 MCP tools, 5 intelligence layers, real benchmarks on real repos. But we're just getting started.

Next up: making Repowise work across entire organizations, not just single repos. Understanding how services talk to each other, where the real risk lives across a system, which parts of your codebase are quietly rotting. We're building the thing every AI agent should plug into before it touches a line of code.

This is infrastructure. It's not flashy. It doesn't demo well in a 30-second clip. But it's the difference between an AI agent that wastes 200 tool calls finding a function and one that already knows where it is, who wrote it, why it exists, and whether it's safe to change.

We're two founders working on this full-time. No funding. Every sponsorship directly buys time to keep the open-source core maintained, the benchmarks honest, and the roadmap moving.