OpenAI's field report: coding agents sped up real science software up to 60x
In a report with academic partners, OpenAI documented eight real deployments where coding agents modernized neglected research software — including a 60x speedup in RNA-sequencing quality control and a 20,000-line C++ genome aligner rewritten in Rust at 99.8% parity. Five projects used Codex alone; three combined it with Anthropic's Claude Code. The report is blunt about the limit: agents finished ambitious engineering tasks but could not judge whether results were scientifically correct, sometimes presenting flawed code with full confidence.
Why it mattersAging, unmaintained code is a real bottleneck across science. This is early evidence that agents can clear years of that debt in weeks — but only when a human scientist defines what 'correct' means and builds the machinery to prove it.
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