1. AI Accelerates Porting, but Human Oversight Is Essential
AI tools (GPT-4, GPT-5, Claude, Copilot, CodeRabbit) greatly speed up translation and refactoring, but human review is crucial for correctness, especially for edge cases and build issues.
2. Iterative Improvements Work Best
Incremental changes—such as improving code coverage, refactoring namespaces, and enhancing documentation—yield better results than large, sweeping modifications.
3. BDD and LINQ Enhance Test Readability and Coverage
Converting classic unit tests to BDD style (LightBDD) and adding LINQ-friendly overloads make tests more expressive and ensure comprehensive coverage.
Automated scripts for running tests, generating code coverage reports, and publishing to NuGet streamline the workflow and maintain high standards.
5. Documentation and Reporting Matter
Adding XML comments and generating API documentation (DocFX) improves maintainability. Automated test reports (HTML/Markdown/XML) make results transparent and shareable.
6. Modern C# Practices Simplify Maintenance
Using global usings, consolidating namespaces, and leveraging new C# features (e.g., global.cs, StringComparison overloads) reduce boilerplate and errors.
7. AI Reviewers Provide Valuable Feedback
AI-powered code review tools (CodeRabbit, Copilot) help catch issues and suggest improvements, but their suggestions should be validated before merging.
8. Persistence Pays Off
Reaching 100% code coverage and a clean build often requires multiple iterations, switching between AI models, and manual corrections.
9. NuGet Deployment Is Straightforward with Automation
Automated GitHub Actions workflows enable secure, tag-based publishing to NuGet, provided secrets are managed correctly.
10. Final Advice
AI is a powerful partner for porting and refactoring, but combine it with human expertise, modern tooling, and thorough testing for best results.