Originally published on tamiz.pro.
The Illusion of Autonomous Reliability
AI agents are increasingly making decisions in production environments—from scheduling background jobs to refactoring code. But when these systems fail, the root cause often lies not in the AI itself, but in the assumptions we embed in them. This deep-dive examines three domains where automation breaks down and what engineers can do to close the trust gap.
1. Self-Improving Systems: The Feedback Trap
Self-improving systems promise continuous optimization, but they’re prone to feedback loops that degrade performance over time.
