โ† AI library

Methodology โ€” first public run pending

Evaluate a coding harness and model combination

For teams choosing an agent for repeated engineering work.

Stack
Fixed repository fixture โ†’ Pinned harness โ†’ Pinned model โ†’ Human rubric

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Procedure

  1. Select representative tasks with hidden acceptance tests and resettable repositories.
  2. Pin model, harness, instructions, permissions, tools, add-ons, and budget.
  3. Run each configuration on identical fresh fixtures; repeat nondeterministic tasks.
  4. Blind-review correctness, regressions, intervention, elapsed time, usage cost, and diff size.
  5. Publish artifacts and failures; choose a setup per job instead of declaring one universal winner.

Acceptance artifact

A versioned run manifest, raw artifacts, and dimension-by-dimension results

Do not use it blindly

Do not compare configurations on different prompts, budgets, or repository states.