blairtcg / sumi
rustmainedd05ff1.7K linessynced 4h ago
Code health
7.9out of 10Good
This codebase scores 7.9 out of 10 on defect risk, which we rate good. It also scores maintainability 9.2 and static performance risk 10.0 out of 10. The three are scored separately and never blended into one number. The files you change most are the weak spot: 4 of 28 files are git hotspots, and they average 5.4.
- Lines of code
- 1.7K
Recent activity
All commitsCommits
No commits indexed yet.
Decisions
Needs attention
21 open- medium severity. ProposedConfigure WebP partitions to 3Auto-proposed decision awaiting review
- medium severity. ProposedUse single-threaded encoding to avoid server slowdownAuto-proposed decision awaiting review
- medium severity. ProposedRe-encode diff-card images as compressed WebPAuto-proposed decision awaiting review
- medium severity. ProposedImprove Tokio runtime and prewarm cacheAuto-proposed decision awaiting review
- medium severity. ProposedMove static stats to safer renderer stateAuto-proposed decision awaiting review
Where the risk concentrates
All 4 hotspotsRanked by prior bug fixes and change frequency, mined from full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| canvas.rssrc/renderer | 94.1th | 5bug magnet | 4 | 41 |
| cache.rssrc/renderer | 88.2th | 5bug magnet | 3 | 27 |
| print.rssrc/renderer | 82.4th | 0 | 3 | 14 |
| routes.rssrc | 76.5th | 1 | 3 | 14 |
Composition
Open the graphrust 57%yaml 18%toml 14%markdown 7%luau 4%
Explore this codebase
- Docs36 pages across 16 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files28 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 2 entry points
- Code healthPer-file scores, 37 open findings, coverage and refactoring targets
- Knowledge graphEntities, communities, and the paths between them
- Change couplingFiles that keep changing together, mined from commit history
- CommitsChange-risk ranked history with agent provenance
- ContributorsBus factor, per-file maintainers, and the human/agent split
- StatsSize class, origin, lifetime churn, rhythm and records
- CostsWhat indexing this snapshot cost, by model and by run