@boshen_c: Oxlint reached 7 million weekly downloads, with half of them having type-aware linting enabled.
Summary
Oxlint has reached 7 million weekly downloads, with half of users enabling type-aware linting.
View Cached Full Text
Cached at: 05/25/26, 10:45 PM
Oxlint reached 7 million weekly downloads, with half of them having type-aware linting enabled. https://t.co/55vSQkgpyh
Similar Articles
@LightOnIO: 50 million downloads on @huggingface! LightOn SOTA late-interaction and dense retrievers, OCR models, and LLMs are vali…
LightOn celebrates 50 million downloads on Hugging Face for its state-of-the-art retrieval, OCR, and language models, validated by the community and in production.
@Voxyz_ai: just checked github trending, the #1 repo this week is a CLAUDE.md file. 44,465 new stars this week. a skill distilling…
A single CLAUDE.md file became GitHub's top-trending repo with 44k weekly stars by distilling Andrej Karpathy's LLM coding advice into four principles.
@boshen_c: Time to unmask the man behind this work! @Shanshrew has created a novel parser architecture which is 2x - 3x faster. Pl…
A novel parser architecture developed by Shanshrew achieves 2-3x speedup over the current fastest JS/TS parser, and is being integrated into Oxc.
@IfanJew: https://github.com/hyhmrright/brooks-lint… Very very good! It tries to avoid the problem of AI generating crap code. I don't understand why it has so few stars. It's way better than those other exaggerated skills.
brooks-lint is an AI code review tool based on twelve classic software engineering books, providing structured, traceable code regression risk assessment and repair suggestions, aiming to avoid quality issues in AI-generated code.
@kevinma_dev_zh: I didn't expect Trellis to have over 9000 stars and 5000+ weekly downloads, it's growing fast
Trellis has reached 9000+ GitHub stars and 5000+ weekly downloads, growing rapidly. Praised as the closest thing to "letting AI remember a project", recommended for users of Claude Code or Codex.