If you mostly use chatbots and you're trying not to fall behind on AI tools, this is the part worth keeping from Incident CVE-2026-LGTM: the real vulnerability is treating "LGTM" as a safety verdict, not a polite comment. [C001][C002]
Most people will hunt for one bad line of code. That is the obvious story. The more expensive mistake is trusting an approval label as if it means somebody really checked the change.
The strongest proof point here is simple: one study said the attack worked 100% of the time when a bad change was framed as "no bug" in AI-assisted review. That is bigger than one coding mistake. It suggests the wording can tilt the review before the review even starts.
Important boundary: this is about AI-assisted review and auto-approval workflows, not every human-only review. Treat "LGTM" as the start of checking, not the end. Don't judge an update by how many features it lists. Judge it by whether it changes your next move. Share this with anyone putting AI in the approval path.