# OpenAI Report: Coding Agents Modernize Neglected Science Software at 60x Speedup

> OpenAI has published a field report making a concrete case for coding agents in an unglamorous corner of research: the aging, half-abandoned software that genomics and other data-heavy sciences quietly depend on. Across eight tracked projects, the company says agents modernized long-neglected codebases and delivered speedups of up to 60x, work that had languished because nobody had the time or the specialist knowledge to touch it. The framing matters. OpenAI is careful to distinguish these agents from the autocomplete copilots of 2023. The new tools handle much larger swaths of code at once, orchestrate multi-step tool use, and hold persistent state across a task, which is what lets them take on sprawling legacy systems rather than single functions. Five of the projects used Codex alone; three paired Codex with Claude Code. There is a growth story underneath too. OpenAI reports that non-developer usage has multiplied 137-fold since August 2025, and organizational users 189-fold. Read past the vendor gloss and the useful signal is real: applied to boring, foundational research infrastructure, these agents may unlock more scientific value than any flashy demo.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: OpenAI · Published Monday, August 3, 2026_

## Wortins' read

OpenAI has published a field report making a concrete case for coding agents in an unglamorous corner of research: the aging, half-abandoned software that genomics and other data-heavy sciences quietly depend on. Across eight tracked projects, the company says agents modernized long-neglected codebases and delivered speedups of up to 60x, work that had languished because nobody had the time or the specialist knowledge to touch it. The framing matters. OpenAI is careful to distinguish these agents from the autocomplete copilots of 2023. The new tools handle much larger swaths of code at once, orchestrate multi-step tool use, and hold persistent state across a task, which is what lets them take on sprawling legacy systems rather than single functions. Five of the projects used Codex alone; three paired Codex with Claude Code. There is a growth story underneath too. OpenAI reports that non-developer usage has multiplied 137-fold since August 2025, and organizational users 189-fold. Read past the vendor gloss and the useful signal is real: applied to boring, foundational research infrastructure, these agents may unlock more scientific value than any flashy demo.

## Source

[Read the full story at OpenAI](https://openai.com/index/scientific-computing-agentic-ai/)

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