Incident Report: CVE-2026-LGTM
Andrew Nesbitt published a hypothetical incident report describing a scenario where two AI review agents from competing vendors enter a disagreement loop over a package's safety, generating 340 comments and $41,255 in inference costs before their API keys were revoked. One vendor's marketing team used the incident to issue a press release about increased adversarial multi-agent security reasoning.
Background
Andrew Nesbitt's fictional "incident report" satirizes a near-future software supply-chain disaster. It parodies the style of real postmortems from companies like GitHub or Google, set in a world where AI code-review agents autonomously audit open-source dependencies and can be manipulated by malicious contributors.
- The "CVE-2026-LGTM" name mocks real CVE identifiers and the "LGTM" (Looks Good To Me) code-review shorthand.
- The core joke: two competing AI agents squabble over whether a package is malicious, generating infinite debate and enormous cloud-compute bills, while a vendor spins the fiasco as bullish market news.
- The underlying concern is real: AI agents are increasingly given write access to codebases and the ability to approve or block pull requests, creating new attack surfaces (prompt injection, supply-chain poisoning) that humans can't easily monitor or control.