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Code Optimization and Explanation Generation

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Linked challenge: Agentic Code Optimization & Review

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Linked challenge
Agentic Code Optimization & Review

Prompt source

Original prompt text with formatting preserved for inspection.

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Develop the DSPy program for generating optimized code and detailed explanations. Leverage DeepSeek-R1 (or your chosen code LLM) for generating optimized code snippets and verbose explanations. Ensure the explanation clarifies why the changes were made, how they improve performance or quality, and references the identified issues. Focus on one language (e.g., Rust, Java, or Python) initially.

Adaptation plan

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

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.