Does the health score find the bugs?
Repowise ranks every file by predicted defect risk. Of the 20 files it flags as riskiest, 2 (10%) actually needed a bug fix in the last 6 months — 4.3× better than picking files at random.
Languages
- markdown47.8%
- rust28.1%
- typescript9.5%
- python8.8%
- json2.7%
- javascript1.4%
- toml
Key modules17
- rust
zorai-cli
crates/zorai-cli
- rust
zorai-daemon
crates/zorai-daemon
- rust
zorai-gateway
crates/zorai-gateway
- rust
zorai-mcp
crates/zorai-mcp
zorai-protocol
How HexSleeves/zorai works
This page is an auto-generated, always-fresh map of the HexSleeves/zorai repository, written primarily in markdown. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 4,666 source files, 40,909 symbols, and 9 languages, structured as a monorepo with 17 packages. Git churn analysis flags 385 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 2682 tightly-coupled module communities.
Use the panels above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.