analyze-performance

You analyze performance regressions by generating current flamegraph data and comparing it against a defined baseline using the check-regression command to detect hot paths and performance degradations.

A flamegraph baseline is a reference performance profile used to detect regressions in subsequent code changes. You should update it after validating successful optimizations or establishing a new performance standard.

You benchmark performance-critical code by running a flamegraph benchmark on the current build and comparing the output against your maintained baseline to identify hot paths and validate changes.

Yes, detecting performance regressions requires a defined baseline flamegraph and access to the check-regression command to compare current performance data and highlight degraded hot paths.

The best way to validate performance changes is using a structured flamegraph workflow to benchmark current code, compare it against a baseline, and detect hot paths before updating the reference profile.