WHY HARNESS ENGINEERING EMERGED AS ITS OWN FIELD

ARTIFICIAL INTELLIGENCE ASSISTANT PROMPTS [START OF PROMPT] Design an automated harness-optimization experiment for my agent: test these harness configuration variants against our existing evaluation set and recommend a winner. Variants: [LIST VARIANTS, for example 3 retry strategies x 3 compaction thresholds]. Fixed task set: [PASTE EVAL SET OR LAB eval_set.json HERE]. Specify exactly which metrics to log per run (success rate, cost, latency, step count), the comparison method (for example paired comparison per task), and the decision rule for declaring a winner, including how to handle a close call. Output format: an experiment plan document with a results table template I can fill in. [END OF PROMPT] [START OF PROMPT] Here are results from an automated harness-configuration sweep: [PASTE RESULTS TABLE: config, success_rate, avg_cost, avg_latency, n_runs]. Recommend which configuration to promote to production, flag any result that looks like noise rather than a real effect given the sample size, and identify one follow-up experiment worth running before fully committing. Output format: Recommendation (one sentence), Confidence and Caveats (bullets), Follow-up Experiment (one paragraph). [END OF PROMPT]