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Old and new apps, via modern coding agen: Modern AI Coding

Reviving legacy math applets with AI-powered coding agents for modern web standards

★ 3.5 / 5 iKeep score
TL;DR
💰Pricing: free
🎯Best for: Educators and researchers with legacy technical content to preserve
⚖️Verdict: A compelling case study in using AI to preserve technical education resources, demonstrating both the potential and limitations of current…
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Indexed 7/13/2026Last updated 7/16/2026Category: Developer Tools4 tags

Quick facts

Pricing: freeAPI: NoSelf-host: NoPlatforms: web

Overview

Terry Tao shares his experience using modern AI coding agents to migrate his legacy Java 1.0 math applets to JavaScript. The process successfully revived two dozen educational tools with improved functionality, including visual upgrades and bug fixes.

Getting started with Old and new apps, via modern coding agents

  1. Visit Terry Tao's blogNavigate to the official URL to read about the AI-assisted migration process and view the revived applets.Old and new apps, via modern coding agents step 1: Visit Terry Tao's blog
  2. Explore available appletsBrowse the collection of migrated educational tools, including complex analysis and linear algebra visualizations.Old and new apps, via modern coding agents step 2: Explore available applets
  3. Use the appletsInteract with the colorized and bug-fixed versions of the original Java 1.0 applets directly in your modern web browser.

Pricing

Free
PlanPriceNote
FreeFreeAll applets are freely accessible

💡 Indicative pricing — check the official rates at terrytao.wordpress.com · Updated 7/16/2026

Key features

  • AI-assisted migration from Java 1.0 to JavaScript
  • Revived complex analysis and linear algebra visualizations
  • Colorized versions of original monochrome applets
  • Identified and fixed bugs in original code
  • Enabled modern web compatibility
  • Significantly faster than manual coding

Pros

  • Preserved decades-old educational resources
  • Improved functionality over original versions
  • Relatively bug-free migration process
  • Low-risk implementation for visual aids

Cons

  • Potential for subtle bugs in AI-generated code
  • Limited to non-critical educational tools
  • Requires technical oversight

Use cases

  • Migrating legacy educational tools to modern platforms
  • Reviving deprecated web applets
  • Creating visual aids for mathematical concepts
  • Testing AI-assisted code migration
Best for: Educators and researchers with legacy technical content to preserve

The verdict

A compelling case study in using AI to preserve technical education resources, demonstrating both the potential and limitations of current coding agents for legacy system migration.

✓ Who should use it

Educators and technical content creators looking to modernize legacy interactive teaching tools with AI assistance.

Why pick Old and new apps, via modern coding agents: Demonstrates a practical, successful application of AI coding agents for preserving valuable educational resources.

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Frequently asked questions

Is Old and new apps, via modern coding agents free?

Old and new apps, via modern coding agents is free to use.

What is Old and new apps, via modern coding agents best for?

Educators and researchers with legacy technical content to preserve

Does Old and new apps, via modern coding agents have an API?

No, Old and new apps, via modern coding agents does not offer a public API.

Can I self-host Old and new apps, via modern coding agents?

No, Old and new apps, via modern coding agents is not self-hostable.

Who should use Old and new apps, via modern coding agents?

Educators and technical content creators looking to modernize legacy interactive teaching tools with AI assistance.

Reviews 4.0 ★ · 1 review

★★★★★iKeep EditorialEditorial

This case study offers valuable insights into the practical application of AI coding assistants for legacy system migration. The successful revival of two dozen educational applets demonstrates the technology's potential for preserving technical education resources. While not without minor bugs, the overall process proved efficient and effective, particularly for non-critical visual aids. The project highlights how AI can breathe new life into deprecated educational tools while maintaining their original pedagogical value. Educators and technical content creators will find this a compelling example of AI's role in digital preservation.

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