I find that using asserts in programming helps catch potential issues early, preventing them from becoming real bugs later on.

I can drop into any situation and perform print debugging, which helps me confirm my intuitions and build a bigger picture of what's going wrong.

Creating powerful systems that work correctly most of the time brings me joy, especially when I can stress test them and ensure they function as intended.

I became good at print debugging because I learned to solve problems by printing out information to understand what was happening in the code, and I'm a print debugging champion, able to quickly identify issues in any codebase.

I advocate for writing tests when fixing bugs, as it helps ensure that the bug is properly addressed.

The challenge of debugging is that it requires context and experience, which AI lacks. While AI can help with trivial bugs, it struggles with complex logical issues.

The ability to debug and understand underlying systems is crucial, especially as AI tools become more prevalent in coding practices.

Many engineers find it intimidating to troubleshoot complex codebases, but being able to navigate them is a rare and powerful skill.

The act of making something helps you understand it better, and when you test it, you know what might be going wrong because it always goes wrong.