Agents on Rails: learnings from benchmarking AI models for the Rails Foundation

At Deccan Queen on Rails 2026, in Pune, Maharashtra, India
Cover for Agents on Rails: learnings from benchmarking AI models for the Rails Foundation

Irina Nazarova on benchmarking coding agents against Rails for the Rails Foundation: 41 tasks, 17 models, 1,770 runs, and the open source harness you can point at your own codebase.

We benchmarked coding agents on Rails for the Rails Foundation. 41 tasks on Writebook and Fizzy, 17 models, 1,770 runs, all open source.

The hard part was building a test the best models cannot max out. It worked: 35% at Stage 2. Models never reach for delegated_type or purge_later, and they are worst of all at migrations and i18n. Plenty of other surprises.

We also got to build and open source the harness, rails/lemans. I will show you how to point it at your own repo, because the best test suite is always your own codebase.

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Irina Nazarova CEO at Evil Martians

Evil Martians is a developer tools consultancy founded in 2006. Creators of PostCSS, imgproxy, and 100+ open source projects with 25 billion downloads.