Repowise · Codebase intelligence
sunduq-ai / falq
Runtime isolation for parallel git worktrees — per-worktree ports, env files, databases, and compose projects. Worktrees isolate files; falq isolates everything else.
Does the health score find the bugs?
Repowise ranks every file by predicted defect risk. Of the 20 files it flags as riskiest, 11 (55%) actually needed a bug fix in the last 6 months — 3.4× better than picking files at random.
Languages
- rust43.2%
- yaml19.8%
- markdown16.0%
- shell7.4%
- javascript4.9%
- json3.7%
- toml1.2%
Code health
Full report- Code health83
- Dead code100
- Hotspot density80
- Bus factor27
How sunduq-ai/falq works
Runtime isolation for parallel git worktrees — per-worktree ports, env files, databases, and compose projects. Worktrees isolate files; falq isolates everything else. This page is an auto-generated, always-fresh map of the sunduq-ai/falq repository, written primarily in Rust. 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 81 source files, 655 symbols, and 10 languages. Git churn analysis flags 8 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 56 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.