Testing is hard. Testing the right things in the right way is even harder. In this talk, I’ll show techniques that will help you write better, more productive tests.

We’ll explore mutation testing, which checks whether your tests actually catch bugs instead of just always passing. Property-based testing lets your code generate hundreds of input variations automatically, exposing edge cases you wouldn’t have thought of. And for complex data structures or legacy code, snapshot testing can capture outputs and catches unexpected changes over time.

Along the way, I’ll hint at other practical approaches that can level up your testing. You’ll leave with concrete ideas to write fewer, but far more effective tests.