Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

InfoWorld is a source of news, analysis, and commentary on technology trends, IT strategies, and business innovation. With a focus on enterprise technology and digital transformation, InfoWorld offers insights and guidance for IT decision-makers, software developers, and technology professionals. From  articles on cloud computing and cybersecurity to product reviews and industry trends, InfoWorld helps readers navigate the complexities of modern IT environments and make informed decisions to drive business success.

InfoWorld

A hands-on account of using Claude Sonnet (via an AI coding IDE) to migrate a Python blogging system to Rust. The author shares three key lessons: you must know both source and target languages well to catch subtle issues the AI misses; expect significant iteration through prompt-generate-test cycles; and take full responsibility for every line of generated code. Notable failures included Claude omitting authentication checks on nearly all admin routes, producing garbled output mid-session, and inconsistently applying shell syntax. The conclusion is that AI coding tools can accelerate migration work but cannot substitute for developer expertise in both languages.

What I learned using Claude Sonnet to migrate Python to Rust

3. Take full responsibility for the results

<p>This was more insightful then “I haven’t programmed in a year”. Gave more clarity about the field and where to focus next.</p>
