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Iterative Refinement and Trulens-Eval Integration

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Agentic Code Generation & Refinement

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Linked challenge
Agentic Code Generation & Refinement

Prompt source

Original prompt text with formatting preserved for inspection.

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Extend your agent to iteratively refine the generated code. If the linter identifies issues, the agent should modify the code and re-run the linter until it passes or a maximum number of iterations is reached. Integrate Trulens-Eval to trace the agent's thought process, tool calls, and code modifications throughout this refinement loop. Focus on capturing the 'agent_response', 'tool_calls', and 'tool_outputs' for evaluation.

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.