Introducing My Inaugural Open Source AI-Generated Library

On June 21, 2025, the author evaluated model performance in generating XML and JSON, discovering that XML generation often resulted in invalid outputs. To address this, they required a robust parsing solution and tasked the AI, Claude, with developing a simple XML library. After several unsuccessful tries with existing parsers, Claude created a new parser, generating about 1,100 lines of code and 1,000 lines of tests. It also configured the Python package, set up continuous integration (CI), and managed PyPI publishing, while redesigning a logo to accommodate dark and light themes. The AI successfully implemented functions for a streaming and tree-parsing API, even handling invalid XML inputs gracefully. This experiment highlighted the capabilities of AI in automating development tasks but also raised questions about the validity of open-source licenses when minimal human input is involved. The outcome, while functional for the author’s needs, serves mainly as a demonstration of current AI potentials rather than an endorsement.

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