The Bottleneck for AI Agents Isn't the Model Anymore. It's the Context Layer

The New Stack argues that as foundation models improve, the limiting factor for AI agents is shifting toward the context layer: gathering, filtering, persisting, and delivering task-relevant information at the right time. The piece focuses on agent infrastructure rather than model benchmarks. However, the available material contains only the headline, metadata, and a Hacker News listing, so its technical claims, examples, and evidence cannot be independently assessed from the supplied source data.