Shift Left with GitHub Copilot: Enforcing Code Quality Before the Commit
summary
Company workflow shifts code quality left by using GitHub Copilot plus OpenAI and Claude models to generate and review code inside the IDE, with repos containing reusable instruction MD files that tell Copilot how to enforce Angular and TypeScript patterns. Automated agents iterate cycles until tests pass, producing unit tests and refactors that raise coverage from the usual 2% to 8% increase in unit test coverage in less than three days. Sonar and Aqua run in pipelines and IDE reviews cut pull request churn.
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chapters (7)
- 0:00Introduction and background
- 3:36Demo of code generation
- 8:38Unit testing with AI agents
- 9:21Shifting quality left with Copilot
- 13:07Code refactoring with AI
- 13:50AI-powered pull request reviews
- 15:54Measured benefits and Q&A
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