PAC Learning is a theoretical framework that guarantees you can learn a hypothesis that is almost correct (error ≤ ε) with high probability (≥ 1 − δ) using a feasible number of training samples.

How micro frontends work and how Garfish makes it easier to plug multiple apps into one seamless product.

a structured summary of the core principles of how browsers work—from processes and threads, to caching and storage, to what really happens when a page is rendered.

I wrote a CSS quick reference and principles note: from the box model, positioning and document flow, to BFC, layout schemes, performance optimization, and engineering.

My Notes on Webpack: How It Actually Works and How to Use It