hurtener / harbor
A Go-native runtime for durable, steerable, event-driven AI agents
Code health
hurtener/harbor scores 7.7 out of 10 on defect risk, which Repowise rates Good. Maintainability scores 8.1 out of 10. Static performance risk scores 9.9 out of 10. The three are scored separately and never blended into a single number. 334 of 2,127 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 2.1k
- Symbols
- 19k
- Modules
- 84
- Doc pages
- 0
- Dead exports
- 222
Where the risk concentrates
All 334 hotspotsRanked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| devstack.goharbortest/devstack | 99.9th %ile | 9 | 2 | 71 |
| cmd_dev.gocmd/harbor | 99.9th %ile | 8 | 2 | 82 |
| cmd_dev_runloop.gocmd/harbor | 99.8th %ile |
Read more about hurtener/harbor
- OverviewFiles, symbols, languages, packages, git intelligence
- ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
- Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
- AI explanationsProModule-by-module documentation generated from source
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[](https://repowise.dev/repo/hurtener/harbor)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/hurtener/harbor)How hurtener/harbor works
A Go-native runtime for durable, steerable, event-driven AI agents This page is an auto-generated, always-fresh map of the hurtener/harbor repository, written primarily in Go. 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 2,127 source files, 18,881 symbols, and 8 languages, organised into 84 modules, led by go, markdown, typescript. Static analysis leaves 10,068 open findings across the three health dimensions.
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