forza-love / fh6-virtual_tcu
An external adaptive transmission controller that reads FH6 telemetry and automatically shifts gears based on driving style, throttle input, RPM, speed and brake pressure.
Code health
forza-love/fh6-virtual_tcu scores 6.7 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. 31 of 188 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 188
- Symbols
- 1.0k
- Modules
- 36
- Doc pages
- 222
- Dead exports
- 77
Where the risk concentrates
All 31 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 |
|---|---|---|---|---|
| tcu.pyvirtual_tcu/logic | 99.4th %ile | 18bug magnet | 5 | 43 |
| test_adaptive_upshift_recovery.pytests | 96.3th %ile | 6bug magnet | 1bus factor 1 | 8 |
Read more about forza-love/fh6-virtual_tcu
- 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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Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/forza-love/fh6-virtual_tcu)How forza-love/fh6-virtual_tcu works
An external adaptive transmission controller that reads FH6 telemetry and automatically shifts gears based on driving style, throttle input, RPM, speed and brake pressure. This page is an auto-generated, always-fresh map of the forza-love/fh6-virtual_tcu repository, written primarily in Python. 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 188 source files, 1,015 symbols, and 7 languages, organised into 36 modules, led by python, typescript, json. Static analysis leaves 528 open findings across the three health dimensions.
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