AI ENGINEERING HAS A RUNTIME PROBLEM

Summary from the TLDR AI newsletter

AI teams struggle to deploy agents because no standardized runtime exists to handle state, streaming, isolation, recovery, and scaling across sessions and users. Existing frameworks, observability, and eval tools only cover building and testing agents, leaving each team to reinvent complex infrastructure from scratch. A proper runtime would serve agents as APIs, persist state, manage streams, recover from failures, and scale safely, turning notebooks into production-ready AI applications.