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AI Engineering
Hacker News·23d ago·5 min read
Hacker News·23d ago·5 min readOld and new apps, via modern coding agents by Terry Tao
TL;DR
Terence Tao successfully migrated his old Java applets for teaching mathematics to modern JavaScript using AI coding agents. This process took only hours and resulted in functional applets with graphical enhancements.
✦ Why It Matters
Engineers can use AI coding agents to efficiently update and enhance legacy codebases with minimal risk of introducing new bugs.
Key Takeaways
- Explore AI tools for migrating legacy code to modern languages.
- Utilize AI to identify and fix bugs in existing codebases.
- Consider graphical enhancements when updating educational software.
- Evaluate the risk of bugs in secondary visual aids versus critical components.
Full Summary
Terence Tao has been exploring machine-assisted methods for teaching mathematics since 1999, initially creating applets in Java 1.0 for visualizing complex mathematical concepts. Recently, he utilized AI coding agents to port these outdated applets to JavaScript, a modern and widely supported language.
The migration process was completed in just a few hours, and the updated applets included graphical improvements, such as colorization of the Besicovitch set applet. While LLM-based coding agents can introduce bugs, only one minor issue was found in the new code, while the AI also identified two bugs in the original Java code.
This outcome demonstrates the potential of AI tools in enhancing legacy codebases with minimal risk. As these applets serve as secondary visual aids, the low downside risk of bugs makes this approach particularly appealing for educators.