harness-test-advisor

Test selection for changed files applies graph-driven discovery to identify a minimal, high-coverage test set, gracefully falling back to static analysis and naming-convention strategies when a repository graph is unavailable.

To improve CI efficiency, test prioritization categorizes results into Must Run, Should Run, and Could Run tiers, generating quick-run and full-run commands to optimize feedback loops and CI cycles.

Test selection works without a repository graph by gracefully falling back to static analysis and naming-convention strategies to determine the relevant tests for your changed files.

Finding test coverage gaps for changed files is handled during the analysis process, flagging missing tests and delivering a structured tiered result for CI and local development workflows.

Graph-driven test discovery for CI efficiency is a mechanism that analyzes a repository graph to identify the exact tests impacted by changed files, ensuring high coverage while running only necessary tests.