What you can learn from an open-source project with 300 million downloads
summary
Fluent Assertions reaches 300 million downloads and the project treats quality like a product: GitHub issue/PR templates and labels gate design, EditorConfig plus Roslyn analyzers enforce style, and a Nuke build pipeline runs unit tests, BenchmarkDotNet, cspell, GitVersion and GitHub Actions. API stability uses a public API snapshot tests flow (PublicApiGenerator + Verify) to catch breaking changes, mutation testing (Stryker) exposes blind spots, and release automation + semantic versioning generate consistent releases that are widely used and maintainable.
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chapters (19)
- 0:00Open-source insights
- 4:15Project inception
- 7:05Feature requests & API design
- 10:14Contribution guidelines
- 13:07Git workflow optimization
- 16:58Unit test naming & TDD
- 20:32Advanced testing techniques
- 24:06AI tools & modern C#
- 27:14Local build automation
- 30:03Performance benchmarking
- 35:39GitHub Actions & dependencies
- 38:45Code review strategies
- 41:54Saying no to features
- 43:15Clean Git history
- 45:00Semantic versioning
- 47:47Release notes & NuGet
- 49:16Using OSS as reference
- 50:19Architectural decisions
- 51:43Mutation testing
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