India, Feb. 11 -- AI agents are easy to build and hard to operate. As teams push them into production, architectural blind spots around reliability, cost, and orchestration surface quickly. The result is a new class of failures that traditional DevOps practices are not designed to catch early.

Modern engineering teams ship faster than ever. CI/CD pipelines are stable, infrastructure is declarative, and AI capabilities are now part of everyday developer workflows. In a recent interaction with Arun "Rak" Ramchandran, CEO of QBurst, this confidence gap came up repeatedly. For many teams, adding an AI agent feels no different from wiring up another service, until it hits production and behaves in ways no dashboard prepared them for.

The fir...