AI Agents Have a Reliability Problem Nobody Is Talking About

AI agents have a reliability problem due to a mismatch between the advanced intelligence layer and the outdated infrastructure layer. This causes failures such as crashes, duplicate side effects, and workflows that cannot safely resume. To address this, a reliable execution layer is needed to ensure that AI agents can operate continuously and autonomously. Engineers should focus on developing reliable execution mechanisms to prevent such failures. This is crucial for the agentic future of software.