Get the latest tech news
Software engineer on the real state of AI agents (they're not there yet)
In a recent blog post, systems engineer Utkarsh Kanwat points to fundamental mathematical constraints that challenge the notion of fully autonomous multi-step agent workflows. Since production-grade systems...
A hot potato: Amid growing hype around AI agents, one experienced engineer has brought a grounded perspective shaped by work on more than a dozen production-level systems spanning development, DevOps, and data operations. Kanwat's DevOps agent avoids the compounded error problem by breaking workflows into 3 to 5 discrete, independently verifiable steps, each with explicit rollback points and human confirmation gates. His database agent, for instance, incorporates traditional engineering features like connection pooling, transaction rollbacks, query timeouts, and detailed audit logging – elements that fall far outside the AI's scope.
Or read this on r/technology
