LLM-powered agents are beginning to look a lot like tireless junior developers. Hand them an API along with the docs and they’ll diligently read the reference, issue a request, parse the error, adjust parameters, and try again and again—on loop—until something works. Frameworks like LangChain and OpenAI function-calling helpers, as well as agents like Cursor, Claude Code, OpenAI Codex, and Codename Goose, make that cycle even easier to wire up and follow.But raw persistence of an agent isn’t alw...