Sometimes, performance just doesn't matter. If I make some codepath in Ruff 10x faster, but no one ever hits it, I'm sure it could get some likes on Twitter, but the impact on users would be meaningless.
And yet, it's good to care about performance everywhere, even when it doesn't matter. Caring about performance is cultural and contagious. Small wins add up. Small losses add up even more.
Recent articles
- LLM 0.22, the annotated release notes - 17th February 2025
- Run LLMs on macOS using llm-mlx and Apple's MLX framework - 15th February 2025
- URL-addressable Pyodide Python environments - 13th February 2025