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AI & Deeptech

AI & Deeptech

The PR you would have opened yourself

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The PR you would have opened yourself

We provide a Skill and a test harness to help port language models from transformers to mlx-lm, so they become (almost) instantly available the moment they are added to transformers. The Skill is designed to support contributors and reviewers as an aide, not an automation. We explain why we did it, how, and comment about how to meaningfully contribute to open source in the age of agents.

In 2026, code agents started to actually work. What used to be auto-completion at the side of your editor turned into a system that one-shots reasonable solutions from brief specifications. The generated code usually works out of the box, covers what you asked for, and makes reasonable assumptions about details you didn't specify. This is great. As Jensen Huang puts it, we've instantly gone from 30 million to one billion coders in the world. Creative minds are unleashed.

Take the transformers library as an example. It has hundreds of contributors, is used in thousands of projects, has been downloaded over a billion times. Suddenly, anyone with an agent can instruct it to find some open issue, fix it, and submit a PR. And that's exactly what's happening. Those people feel happy because they are contributing to a great library, but the sad reality is that, most of the time, they don't realize they are not.

Codebases like transformers care deeply about the code . It's cool to build projects where it doesn't matter what the code looks like, but transformers is not one of them.


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