lading-optimize-rescue

A rescue workflow salvages optimization work by guiding you through audit, triage, evidence generation, and validation phases to generate missing benchmarks. This deterministic process categorizes outcomes as kept, discarded, or bugs found, ensuring claims are reproducibly verified.

A rescue workflow is a phase-driven process that salvages unverifiable optimization work by generating missing evidence through deterministic experiments. It progresses through pre-flight, audit, triage, validation, and recording phases to establish reproducible benchmark outcomes.

Reproducibility in optimization testing is ensured by enforcing deterministic experiments during evidence generation. The rescue workflow establishes strict outcome categories and integrates with validation cycles to confirm improvements or identify regressions consistently across runs.

Use a structured rescue process when proposed optimizations lack solid benchmarks and claims become difficult to verify. This workflow applies deterministic experiments to audit proposals, generating evidence that either confirms improvements or surfaces hidden regressions and bugs.

The standard outcome categories for optimization validation are kept, discarded, and bugs found. These categories are established during the recording phase to classify whether a proposed optimization improves performance, fails to deliver, or introduces regressions requiring further investigation.