We spent decades learning how to protect our data. From simple atomic commits to complex distributed systems, software engineering is fundamentally about managing state safely. Yet, when we build autonomous AI agents today, we don’t seem to learn from our findings.
A self-correcting algorithm that fails mid-task often attempts a blind restart. Without a rollback mechanism, the agent operates in a corrupted state. This triggers a recursive loop. The software then fights phantom errors — logic flaws born only from the debris of its own previous failure.