Why AI's Code Bugs Cluster Into Patterns—And How vouch Catches Them

As AI code assistants become mainstream, developers are discovering that machine-generated bugs follow predictable patterns—hallucinated methods, arity mismatches, obsolete constants—rather than random errors. This distinction matters: standard linters miss these patterns because they look like normal build failures, leaving developers to waste hours debugging code that looked correct. vouch solves this by screening build errors specifically for AI hallucinations, making the critical difference between a five-minute fix and an hour-long hunt.