Slashing CI Time with AI-Powered E2E Test Selection

End-to-end (E2E) tests are slow, fragile, and expensive, often run nightly due to CI bottlenecks. This leads to bugs slipping into production. This article details a solution using Claude Code to intelligently select only the relevant E2E tests for a given PR. By analyzing code changes and test files, Claude Code predicts which tests need to run, reducing testing time from 44 minutes to under 7 minutes. This significantly improves CI efficiency and prevents production bugs. While slightly costly, the savings in developer time and bug fixes make it a cost-effective solution.