AI Coding

Used deliberately, AI models are surprisingly good at finding the bugs a tired human reviewer skips — off-by-ones, missing awaits, unhandled edge cases. Here is the workflow that makes it reliable.

A grounded look at where large language models earn their keep in a working developer's day — the tasks worth delegating, the ones worth keeping, and the workflow that ties them together.

Most prompt engineering advice misses the point. The thing that actually gets better results from AI coding tools isn't a smarter instruction — it's a clearer picture of the problem.