I’m excited to share that I’ve submitted my proposal for Google Summer of Code 2025, titled "Automated Test Generation for Dart with package:coverage and Large Language Models". The proposal details my plan to enhance Dart’s testing ecosystem by integrating LLM-powered automation to generate unit tests for untested code, using package:coverage and tools like Gemini. As a PhD candidate in Computer Science at the University of Chicago, I’m currently researching machine learning pipelines for immune receptor modeling, blending my expertise in AI and biology. This project aligns with my passion for leveraging LLMs to improve real-world systems, and I’m eager to apply my skills to Dart’s development community. A preliminary prototype showcasing the project’s feasibility is available at (
https://gist.github.com/SummerAnn/08ed9f6314a0edfe61d66c96d6722044), with the full prototype codebase in my private repository at (
https://github.com/SummerAnn/dart_prototype_GSoC.git). I’d be happy to provide access or additional details upon request.