Emacs is incredibly powerful with ai agents. Because everything is a function, and emacs is introspectable down to its atoms - agents can write, review, execute

Emacs is incredibly powerful with ai agents. Because everything is a function, and emacs is introspectable down to its atoms - agents can write, review, execute, and evaluate the results in a closed loop. The evaluation part is usually what's missing from most agent-driven workflows. Either you (the person) needs to do a live evaluation or the ai agent derives a primitive evaluation using what's available (eg, screenshots, looking at html/css output to form a visual representation). In emacs, everything is available, everything is a primitive function, everything can be inspected, the documentation (ie, contextual food for agents) is built-in, and emacs itself can be piloted entirely through function calls. This means that agents can fully control an emacs instance and run that closed loop (write, test, evaluate, repeat) with almost complete information - which makes the [given prompt] : [results conforming to spec] relationship much tighter than in most environments.