The pushback we hear, and where we actually stand.

Having your AI review its own code is like grading your own homework: it might catch some things, but there’s no outside number telling you how well it actually works. Most in-loop cleanup is a model judging its own output, or another model’s, inside the same session, with no published accuracy number behind it. Truemend runs separately from that loop: local analysis, no model in the detection loop, checked against the whole repository rather than one agent’s working set. Its precision is public on this site, self-consistency at 100.0% and real-corpus false-positive rates included, wins and losses both. It ships a check for pull requests and a hook for the coding agent you already use, so an existing agent pipeline can read its findings as a signal rather than compete with it.

See: Methodology, Product