This is Part 2 of our AI Coding Agent Horror Stories series, an
in-depth look at real-world security incidents exposing the
vulnerabilities in AI coding agents, and how Docker Sandboxes
deliver workspace-scoped isolation that contains the worst failures
at the execution layer. In part 1 of this series, we mapped six categories
of AI coding agent failures and the architectural reason they keep
happening:the agent runs as you, on your filesystem, with your
credentials, and nothing sits between the model’s decision and the
shell’s execution.