Files with the highest combination of change frequency and waste ratio. These are candidates for refactoring or closer review.
Cumulative contribution over time. Watch developers race as positions shift month by month.
Commit activity distribution by hour and day of week across all contributors in this repository.
Performance has many faces. Navigara breaks down the effort to visualize what parts of codebase has been changed and where energy flowed. Our Architect AI can break the performance even further into particular components and patterns.
Breakdown of file changes over time. Play the timeline to see how change types evolved across periods.
Monthly overview of bugs introduced and fixed, based on symbol-level commit analysis. Fixes show whether the original author fixed their own bug (self-fix) or someone else did (cross-fix).
Bug attribution uses symbol-level matching from commit history. For each fix commit, we look at the changed symbols (functions, classes, methods) and trace backwards to find who last modified that symbol in a non-fix commit. This person is the probable bug introducer. The algorithm only works when commits have symbol-level data from the Navigara analysis engine — the coverage rate shows what percentage of fix commits had this data available.
The current metrics model has a semantic inversion: when developer A creates a feature with a bug, they receive grow (positive). When developer B fixes that bug, they receive waste (negative). The bug creator is rewarded while the fixer is penalized. Bug attribution addresses this by explicitly tracking who introduced bugs and who fixed them, providing a more accurate picture of code quality contributions.
Currently computed client-side from commit data. Ideal server-side endpoint:
POST /v1/repositories/{repositoryId}/bug-attributions
Content-Type: application/json
Request:
{
"startTime": "2025-01-01T00:00:00Z",
"endTime": "2025-12-31T23:59:59Z"
}
Response:
{
"totalBugsAttributed": 42,
"selfFixRate": 35,
"coverageRate": 78,
"attributions": [
{
"filePath": "src/lib/auth.ts",
"symbol": "validateToken",
"introducer": { "name": "Alice", "email": "alice@co.com", "commitSha": "abc123" },
"fixer": { "name": "Bob", "email": "bob@co.com", "commitSha": "def456" },
"fixedAt": "2025-06-15T10:30:00Z",
"isSelfFix": false
}
]
}Reclassifies engineering effort based on bug attribution. Commits that introduced bugs are retrospectively counted as poor investments.
Investment Quality reclassifies engineering effort based on bug attribution data. Commits identified as buggy origins (those that introduced bugs later fixed by someone) have their grow and maintenance time moved into the Wasted Time category. Their waste (fix commits) remains counted as productive. All other commits retain their standard classification: grow is productive, maintenance is maintenance, and waste (fixes) is productive.
The standard model classifies commits as Growth, Maintenance, or Fixes. Investment Quality adds a quality lens: a commit that introduced a bug is retrospectively counted as a poor investment — the engineering time spent on it was wasted because it ultimately required additional fix work. Fix commits (Fixes in the standard model) are reframed as productive, because fixing bugs is valuable work.
Currently computed client-side from commit and bug attribution data. Ideal server-side endpoint:
POST /v1/organizations/{orgId}/investment-quality
Content-Type: application/json
Request:
{
"startTime": "2025-01-01T00:00:00Z",
"endTime": "2025-12-31T23:59:59Z",
"bucketSize": "BUCKET_SIZE_MONTH",
"groupBy": ["repository_id" | "deliverer_email"]
}
Response:
{
"productivePct": 74,
"maintenancePct": 18,
"wastedPct": 8,
"buckets": [
{
"bucketStart": "2025-01-01T00:00:00Z",
"productive": 4.2,
"maintenance": 1.8,
"wasted": 0.6
}
]
}Latest analyzed commits in this repository.
| Hash | Message | Author | Effort |
|---|---|---|---|
| e0b2504 | Roll vulkan-deps from ce3343ef3104 to 013f1470e148 (6 revisions) | skia-autoroll | maint |
| d1fdab2 | Add product font customization loader | Eric Sum | grow |
| 762dc9c | Add support for parsing family-list tags | Eric Sum | grow |
| ade8085 | [graphite] WrapTexture does not require SkColorType, can force opaque for any color type | Michael Ludwig | maint |
| ff2fab0 | Fix potential AHardwareBuffer lifetime issues in tests | Arthur Sonzogni | maint |
| cc10fb5 | Roll vulkan-deps from 78ff12d249d4 to ce3343ef3104 (7 revisions) | skia-autoroll | maint |
| 1d57991 | Roll ANGLE from 8d8796935e4f to 07f101fbae2d (10 revisions) | skia-autoroll | maint |
| 105276f | Roll Skia Infra from 93dc3a99a732 to a4975f7c7688 (15 revisions) | skia-autoroll | – |
| 707f495 | Roll recipe dependencies (trivial). | recipe-roller | maint |
| f37239a | [graphite] turn off DrawListLayer caps flag | Thomas Smith | – |
Roll vulkan-deps from ce3343ef3104 to 013f1470e148 (6 revisions)
Add product font customization loader
Add support for parsing family-list tags
[graphite] WrapTexture does not require SkColorType, can force opaque for any color type
Fix potential AHardwareBuffer lifetime issues in tests
Roll vulkan-deps from 78ff12d249d4 to ce3343ef3104 (7 revisions)
Roll ANGLE from 8d8796935e4f to 07f101fbae2d (10 revisions)
Roll Skia Infra from 93dc3a99a732 to a4975f7c7688 (15 revisions)
Roll recipe dependencies (trivial).
[graphite] turn off DrawListLayer caps flag
Average context complexity and engagement score of file changes over time. Higher complexity means more intricate changes; higher impact means broader effect on the codebase.