Ask a team that's six weeks into building an AI agent what's hard, and they'll talk about prompts, which model to call, which RAG setup to use. Ask the same team eight months later, after the demo has to survive real users, real edge cases, and a compliance review, and you'll get a completely different answer. Nobody complains about the model anymore. They complain about everything around it. That gap between “we built an agent” and “we run an agent in production” is where most of the...

Before his session at AI Coding Summit, we sat down with Yuriy Bezsonov, Senior Solutions Architect at AWS, to talk about what it actually takes to move AI agents from demo to production, why Java is having a real moment in agentic AI, and much more. Read the entire interview below: Q1: 25 years in tech, moving from developer to engineering manager to solutions architect, which role taught you the most? The Solutions Architect role at AWS. As a developer, I learned how to build things. As a...

Generative AI has made intelligence, in the raw sense of processing information and producing plausible output, abundant. Analysis that once took teams of analysts weeks can now be produced in minutes, at near-zero marginal cost, and access to capable models is no longer restricted by budget or specialized expertise. The open question for organizations in 2026, as well as in 2027, is what still differentiates them, and a growing body of research and practitioner experience points to the same...