Translating non-trivial codebases with Claude
Summary
Daniel Janus details experiments using Claude Code to translate complex NLP tooling from C++/Haskell to Java/Clojure, highlighting challenges, approaches, and impressive outcomes such as a 100% match on Quo Vadis. The post also reflects on learning, tooling ecosystems, and the societal costs of LLM usage, offering practical insights for developers exploring LLM-assisted code modernization.