OpenAI report shows coding agents cutting science software runtimes
OpenAI has published a field report documenting eight scientific computing projects where coding agents reduced software runtimes and modernized legacy codebases. The report covers projects in genomics, immunology, statistics, and RNA sequencing. Five of the projects used OpenAI's Codex autonomously, while three used a combination of Codex and Anthropic's Claude Code. The work fell into three categories: packaging and build-system cleanup, performance optimization, and full language or backend
1 min