Learn the controls and knobs

Primary knobs for evals and benchmarks: case set size, slice definitions, scorer type, contamination checks, seed/decoding freeze, human rubric.

Write a sheet for the coding copilot with columns: control, current value, predicted benefit, predicted cost, rollback trigger. Fill it using this topic’s real tension: Bigger suites cost more and stabilize estimates. Model judges scale and inherit biases. Public benchmarks aid comparison and risk train-set overlap.

Change one evals and benchmarks family at a time. If you move two knobs and the coding copilot improves, you learned a cocktail, not a cause—and you cannot roll back surgically.

End users of the coding copilot should see only safe dials related to evals and benchmarks. Infrastructure limits, private prompts, and policy thresholds stay server-owned. A user-facing control that bypasses those limits is a vulnerability dressed as UX for evals and benchmarks.

Publish the evals and benchmarks control sheet next to the coding copilot runbook. On-call should see which knob moved in the last deploy without reading chat archaeology. Unknown evals and benchmarks knobs are unowned knobs.

Also pin one numeric memory from this evals and benchmarks chapter: 80/100 pass on unit-test tasks with 95% CI roughly ±4 pts—do not call a +2 pt vendor demo a revolution. That number is not decoration; it is a template for how claims about evals and benchmarks on the coding copilot should look in design docs. Scoped specifically to evals and benchmarks / coding copilot / controls-and-knobs.

People confuse evals and benchmarks with neighboring buzzwords when debugging the coding copilot. Before changing prompts, ask whether the broken stage was evidence gathering, the evals and benchmarks judgment itself, validation, or the product action. Fixing the wrong stage creates folklore (“we tried evals and benchmarks and it failed”) that blocks the next team on the coding copilot. Scoped specifically to evals and benchmarks / coding copilot / controls-and-knobs.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to eval and benchmarks rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to eval and benchmarks rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to eval and benchmarks rather than generic AI advice.