Ruff
AssessTools
A fast Python linter and code-quality tool.
Why it's here
Placed in Assess: 3 article(s) of evidence from 3 source(s), led by framework updates, with 0 in the last 30 days. Confidence 50%.
Evidence (3)
- 7Hacker News·7/26/2026framework_updateRuff v0.16.0 expands default rules and adds new formatting features
Ruff v0.16.0 is now available with a much larger default lint rule set, increasing enabled rules from 59 to 413. The release also adds Markdown code block formatting and new Ruff-specific suppression comments, while keeping breaking changes limited for most users.
- 7Simon Willison·7/25/2026framework_updateRuff 0.16.0 expands default checks and breaks unpinned CI
Astral released Ruff v0.16.0 with a much larger default rule set, increasing enabled checks from 59 to 413. The change surfaced many issues in existing Python projects and caused CI failures for unpinned Ruff dependencies, while also enabling automated fixes for most violations.
- 6The New Stack·7/2/2026model_releaseSubquadratic details sparse-attention model and longer-term architecture plans
Subquadratic has released benchmarks and a model card for SubQ 1.1 Small, a sparse-attention model designed to handle very long context windows more efficiently than dense transformers. The company says the model performs strongly on long-context retrieval while using far less compute, and it is also preparing non-attention architectures for future systems.