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Full System Testing & Iterative Refinement

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Linked challenge: Multi-Agent Dev Team for Performance Optimization

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Linked challenge
Multi-Agent Dev Team for Performance Optimization

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Original prompt text with formatting preserved for inspection.

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Run the full AutoGen multi-agent system on the 'Code_Optimization_Challenge' and 'Code_Review_and_Refinement' task templates. Observe the agent interactions and the iterative optimization process. Analyze the code generated, the performance metrics, and the quality of the reviews. Refine agent prompts, communication patterns, and adaptive budget parameters to improve the overall efficiency and effectiveness of the code optimization team.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.