Performance Theory Tester FAQs

Question 1

What is the Performance Theory Tester?

Accepted Answer

It is a specialized Claude Code skill designed to automate and standardize the process of performance benchmarking and scientific hypothesis testing within your codebase.

Question 2

How does it validate performance changes?

Accepted Answer

The skill follows a strict protocol: it confirms a clean baseline, applies exactly one change, runs at least two validation passes, and records the resulting metric delta.

Question 3

Why does it require a hypothesis-driven approach?

Accepted Answer

A hypothesis-driven approach prevents 'shotgun debugging' and ensures that any performance gains or losses are directly and scientifically attributable to specific code changes.

Question 4

Can I run multiple benchmarks in parallel?

Accepted Answer

No, the skill explicitly constrains experiments to single changes and non-parallel runs to ensure environmental consistency and accurate metric reporting.

Question 5

What kind of output does the theory tester provide?

Accepted Answer

It generates a structured report containing the hypothesis ID, a summary of the change, metric deltas, a verdict (accept, reject, or inconclusive), and the evidence used.

Performance Theory Tester

Key Features

Use Cases

Performance Theory Tester

Key Features

Use Cases