# Advancing coding in low‑resource programming languages

**URL:** <https://fortran-lang.discourse.group/t/advancing-coding-in-low-resource-programming-languages/11200>\
**Category:** AI\
**Created:** [October 27, 2026, 8:06am UTC](https://fortran-lang.discourse.group/t/advancing-coding-in-low-resource-programming-languages/11200 "2026-10-27T08:06:55Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![ivanpribec](https://yyz2.discourse-cdn.com/free1/user_avatar/fortran-lang.discourse.group/ivanpribec/32/3290_2.png) [@ivanpribec](https://fortran-lang.discourse.group/u/ivanpribec)\
**Post date:** [October 27, 2026, 8:06am UTC](https://fortran-lang.discourse.group/t/advancing-coding-in-low-resource-programming-languages/11200/1 "2026-10-27T08:06:55Z")

</div>

Link: [https://openai.com/index/low-resource-programming-languages/](https://openai.com/index/low-resource-programming-languages/)

> Our latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic. These languages have less code and documentation available for models to learn from than languages like Python and JavaScript, yet support critical infrastructure and essential services around the world. COBOL [supports⁠(opens in a new window)](https://www.ibm.com/think/topics/cobol) more than 40% of online banking systems, 80% of in-person credit card transactions and 95% of ATM transactions, while Fortran is used in [weather forecasting⁠(opens in a new window)](https://repository.library.noaa.gov/view/noaa/71120) and [nuclear reactor safety analysis⁠(opens in a new window)](https://www.nrc.gov/education-regulatory-research/research/computer-codes). Improving AI’s ability to work in these languages could help teams maintain and modernize the software that essential services depend on.
