AI agents are increasingly being tested in environments where they can interact with real software infrastructure.
A 2026 incident involving AI agents and RubyGems highlighted why those experiments require strong boundaries.
The important question is not whether an AI system can produce code. Modern AI systems can already do that. The security question is what happens when an agent is given tools, credentials and permission to interact with external systems.
An agent with excessive privileges can potentially create consequences far beyond the original task.
The lesson applies to developers experimenting with coding agents at home as well as organisations deploying AI internally.
Give agents the smallest possible set of permissions. Keep credentials out of prompts and repositories. Use isolated environments for experiments. Log tool calls and review unexpected behaviour.
AI agents should be treated as software components with potentially powerful capabilities—not as harmless chat windows.