AI RESEARCH
From Translation to Superset: Benchmark-Driven Evolution of a Production AI Agent from Rust to Python
arXiv CS.AI
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ArXi:2604.11518v1 Announce Type: cross Cross-language migration of large software systems is a persistent engineering challenge, particularly when the source codebase evolves rapidly. We present a methodology for LLM-assisted continuous code translation in which a large language model translates a production Rust codebase (648K LOC, 65 crates) into Python (41K LOC, 28 modules), with public agent benchmarks as the objective function driving iterative refinement. Our subject system is Codex CLI, a production AI coding agent.