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.

Debugging is a joy for me because I can see the results of my decisions through the effectiveness of my asserts, which help catch errors early.

When I notice small problems in the code, I can send them to Codex instead of stopping my workflow to fix them immediately.

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

I can ask for inline suggestions, improvements, and even debug my code within the canvas.

When things are working well, I use data and qualitative feedback from the community to identify problems to solve, and then I rely on intuition to develop solutions and test those hypotheses.

Codex helps me respond to alerts by allowing me to quickly analyze stack traces to identify and fix issues in the codebase.

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

The thinking traces in Gemini Pro provide critical debug information to understand prompt failures and improve them.