With the release of “reasoning” models capable of multistep, test-time compute, the intelligence required to solve complex problems is accessible via a standard API.
For the enterprise technical leader, this looks like progress. But it introduces a massive, hidden scalability ceiling.
The trap is relying on the large language model (LLM) to act as its own middleware. Teams often expose existing API endpoints, which were built for a strict contract for microservices and not for LLMs and rely on system prompts to call the right API, with…
