ci-optimization-specialist

Speed up GitHub Actions by implementing test sharding across multiple runners, configuring caches for pnpm store and Playwright browsers, and optimizing job dependencies. Matrix strategies distribute tests in parallel, reducing total runtime and cost.

Reduce CI runtime by splitting tests across sharded jobs using matrix strategies and enabling workflow parallelization. Combine this with intelligent caching of pnpm dependencies, Playwright browsers, and Vite build artifacts to minimize redundant work.

Yes. Test sharding distributes test execution across multiple runners using matrix-based job strategies. Each runner processes a subset of tests concurrently, significantly reducing total workflow duration compared to sequential execution.

Configure caching by storing the pnpm store, Playwright browser binaries, and Vite build cache in GitHub Actions cache layers. Proper cache keys and paths prevent redundant installations and builds across workflow runs.

Parallelization gains depend on available runner capacity and job overhead. Excessive sharding can increase setup time; concurrency controls prevent runner saturation. Cost savings vary based on pipeline structure and cache hit rates.