techygarg / confit
ConfIT is a .NET library for declarative API integration testing. Define tests in JSON or YAML — no boilerplate for the common case. ConfIT handles request execution, mock setup, response matching, variable extraction, and test filtering; you write the test definitions.
Code health
techygarg/confit scores 9.3 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 9.8 out of 10. Static performance risk scores 10.0 out of 10. The three are scored separately and never blended into a single number. 25 of 208 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 208
- Symbols
- 1.0k
- Modules
- 45
- Doc pages
- 0
- Dead exports
- 12
Where the risk concentrates
All 25 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 |
|---|---|---|---|---|
| BaseTest.cssrc/ConfIT | 96.9th %ile | 3 | 2bus factor 1 | 16 |
| SemanticMatcherTests.cstest/ConfIT.UnitTest/Util | 99.2th %ile | 1 | 1bus factor 1 | 6 |
| ResultMatcherTests.cs |
Read more about techygarg/confit
- 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/techygarg/confit)How techygarg/confit works
ConfIT is a .NET library for declarative API integration testing. Define tests in JSON or YAML — no boilerplate for the common case. ConfIT handles request execution, mock setup, response matching, variable extraction, and test filtering; you write the test definitions. This page is an auto-generated, always-fresh map of the techygarg/confit repository, written primarily in C#. 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 208 source files, 1,011 symbols, and 7 languages, organised into 45 modules, led by csharp, markdown, yaml. Static analysis leaves 129 open findings across the three health dimensions.
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