We all want software to run fast, and "performance" can include everything from network times to keyboard latency. But what about when you really do need Blazing Fast (TM) CPU speed from your code? How do you know what sections of your code are slow, why it's slow, and how to make it faster?

Like writing code and debugging, performance optimization is a skill set that anyone can (and should!) learn. We'll look at key concepts and approaches for profiling and optimizing CPU-level code performance, using real-world examples based on my experience optimizing the widely-used Immer JS library.

You'll learn how to set up reliable benchmarks, capture profiles and interpret flame charts, identify hotspots in your code, and apply optimizations ranging from simple wins like local caching to larger architectural changes. These techniques can help any developer's code run faster!