Go Performance Testing

Optimize only after establishing a representative, repeatable measurement and a specific hypothesis.

Core Workflow

1. Define the user-visible metric and representative workload.
2. Stabilize correctness before measuring performance.
3. Write focused benchmarks with realistic inputs and controlled setup.
4. Collect repeated baseline samples in comparable conditions.
5. Use allocations, profiles, and traces to form a causal hypothesis.
6. Make one bounded change.
7. Compare repeated before/after samples statistically.
8. Recheck correctness and the end-to-end workload.

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