A History of the AI Incident-o-pocalypse in B-Movie Horror Posters
Using B-movie horror posters as a visual gimmick, this piece chronicles how AI-generated code escalated from minor glitches to production disasters between 2023 and 2026. It cites a string of reports and incidents: Stanford's early finding that AI assistants lead to less secure code, Bilkent's correctness benchmarks, the rise of slopsquatting, and 2025-2026 cases where agents like Claude Code, Kiro, or Gemini CLI deleted databases, backups, or whole environments. Numbers are sprinkled throughout — 45% of AI-generated changes needing production debugging, a 322% increase in privilege escalation paths, XSS at 2.74x human rates. The second half offers eight mitigation tips: treat prompting as a team discipline, define no-go zones for AI, encode known AI failure modes into QA checks, and lean on automated end-to-end tests plus production monitoring. It closes by pitching the author's own AI testing platform, QA Wolf. Useful as a checklist for engineering teams worried about AI coding agents, though the vendor agenda should be discounted.