# The PR you would have opened yourself

DevFeed: [The PR you would have opened yourself](<https://devfeed.tech/articles/the-pr-you-would-have-opened-yourself-7536.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/transformers-to-mlx>)

Author: Pedro Cuenca; Awni Hannun

Published: 2026-04-16T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Pull Request](<https://devfeed.tech/topics/pull-request.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [MLX](<https://devfeed.tech/topics/mlx.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [announcement](<https://devfeed.tech/tags/announcement.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [best-practices](<https://devfeed.tech/tags/best-practices.md>), [bugs](<https://devfeed.tech/tags/bugs.md>), [claude](<https://devfeed.tech/tags/claude.md>), [code](<https://devfeed.tech/tags/code.md>), [community](<https://devfeed.tech/tags/community.md>), [contributors](<https://devfeed.tech/tags/contributors.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [llm](<https://devfeed.tech/tags/llm.md>), [mlx](<https://devfeed.tech/tags/mlx.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [performance](<https://devfeed.tech/tags/performance.md>)

## AI overview

The article examines how agent-generated pull requests are changing open-source contribution, using the Transformers library as an example. It explains why maintainers must preserve human-readable design, implicit contracts, performance, and project context, and introduces a Skill and test harness to help port language models from Transformers to mlx-lm while supporting contributors and reviewers rather than automating contribution.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.