
Worked on the marimo-team/marimo repository to resolve a critical duplication issue in the PydanticAI completions API. Addressed the problem by centralizing system prompt handling at agent construction, ensuring the prompt is passed only once and removing it from agent.run. This approach reduced duplication in code completions, particularly in tab completion scenarios, and improved API consistency. Implemented end-to-end tests using Python to verify the fix and maintain reliability across the completions pipeline. Prepared release notes and aligned documentation to support the update. Demonstrated skills in AI development, backend development, and unit testing while enhancing the user experience and codebase reliability.
February 2026: Fixed a critical duplication issue in PydanticAI completions by ensuring the system prompt is passed only once to the agent. The change centralizes system_prompt handling at construction and removes it from agent.run, reducing duplication observed in tab completions. Added end-to-end tests to lock in the behavior and prepared release-notes-friendly PR content. This work improves reliability, API consistency, and user experience in code completions.
February 2026: Fixed a critical duplication issue in PydanticAI completions by ensuring the system prompt is passed only once to the agent. The change centralizes system_prompt handling at construction and removes it from agent.run, reducing duplication observed in tab completions. Added end-to-end tests to lock in the behavior and prepared release-notes-friendly PR content. This work improves reliability, API consistency, and user experience in code completions.

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