Also, how do you normalize non-determinism (like time/IDs etc.), expire/refresh recordings, and classify diffs as "intentional change" vs "regression"?
1. With our Cloud offering, Tusk Drift detects schema changes, then automatically re-records traces from new live traffic to replace the stale traces in the test suite. If using Drift purely locally though, you'd need to manually re-record traces for affected endpoints by hitting them in record mode to capture the updated behavior.
2. Our CLI tool includes built-in dynamic field rules that handle common non-deterministic values with standard UUID, timestamp, and date formats during response comparison. You can also configure custom matching rules in your `.tusk/config.yaml` to handle application-specific non-deterministic data.
3. Our classification workflow correlates deviations with your actual code changes in the PR/MR (including context from your PR/MR title and body). Classification is "fine-tuned" over time for each service based on past feedback on test results.