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technologyreview.com·2h ago
System Design
Martin Fowler·5 min read
Fragments: May 14
TL;DR
Software developers face challenges with legacy systems and complex specifications. A Rust-based behavioral clone of the GNU Cobol compiler was created in three days, showcasing the efficiency of large language models (LLMs) in code porting.
✦ Why It Matters
Engineers can leverage LLMs for efficient code migration and improve legacy system modernization strategies.
Key Takeaways
- Explore LLMs for efficient code migration tasks.
- Use LLMs to verify specifications through expert interviews.
- Prioritize user needs over feature parity in legacy systems.
- Implement pair programming to enhance skill transfer among developers.
Full Summary
At a recent retreat, attendees discussed the future of software development in light of agentic programming, where LLMs assist in tasks like code migration. One notable achievement was the development of a behavioral clone of the GNU Cobol compiler in Rust, completed in three days with 70,000 lines of code.
This demonstrates LLMs' effectiveness in porting existing code, especially when paired with robust regression tests. Additionally, the concept of using LLMs to interview human experts for specification verification was proposed, enhancing the accuracy of complex documents.
The discussions also touched on the importance of understanding legacy systems and the potential for LLMs to simplify compliance with varying regulations across jurisdictions. Overall, the event underscored the need for a strategic approach to leveraging AI in software development while ensuring skill transfer among developers.