7 Free Tools for Testing AI-Generated Code Before It Ships

AI coding assistants generate a lot of code. Teams that use them find themselves reviewing output per day than they wrote manually before. The problem is that AI output looks clean: it follows conventions, compiles without warnings, and passes basic review. The bugs tend to live in the parts that are harder to see: edge case handling, assumption mismatches with your specific system, and input validation gaps. The good news is that the tools for catching these problems are mostly free and work well together. Here are seven worth knowing. 1.