I tested three AI coding assistants on debugging a mobile navigation issue in an Astro + Tailwind site. Continue provided the best explanations, Cursor was fast but made assumptions, and Copilot was quick but error-prone.
I tested three AI coding assistants on building a new feature in an Astro + Tailwind site. Continue provided the best explanations, Copilot was fast but passive, and Cursor was interactive but made assumptions.
I'm testing five AI coding assistants this summer to find the best fit for my development workflow. Here's my initial take on Continue.dev, GitHub Copilot, Cursor, Tabnine, and Windsurf.
As of June 1st, I’m no longer with the Linux Foundation. While I’ll share more details about this transition in a future post, I wanted to take a moment to reflect on what comes next.
When we were working on the Intro to Open Source course, one of the biggest painpoints we noted with new contributors was the frustration they felt when their PRs weren’t merged in in what they felt was a reasonable amount...
In this third post of my series on giving and taking, we explore how to design systems that prevent burnout, distribute contributions, and transform individual reciprocity intelligence into organizational strength.