perf-theory-gatherer

To identify performance regressions from git history, you can generate up to five evidence-backed hypotheses by analyzing recent code changes and implicated code paths. This reduces guesswork by tying potential performance issues to concrete modifications.

Git history based bottleneck analysis is the process of reviewing recent repository changes and code paths to surface performance hypotheses with supporting evidence. It outputs up to five hypotheses with associated confidence levels for clear triage and planning.

You generate performance hypotheses using code evidence by providing a specific scenario like drift detection or a regression. The tool reviews git history and implicated code paths to produce up to five hypotheses with associated confidence levels.

No special dependencies are required for drift detection from git history. The only prerequisite is accessible git history and codebase changes to analyze for performance issues.

The best way to triage performance issues is to generate up to five performance hypotheses with associated confidence levels from git history. This provides clear evidence-backed scenarios for prioritizing performance regressions and bottleneck planning.

Using git history for performance analysis ties potential issues directly to concrete codebase changes, reducing guesswork. It surfaces up to five hypotheses with supporting code evidence, complementing runtime profiling by pinpointing when and where regressions were introduced.