[elliotto]

I describe the test in natural language and AI writes the boilerplate. A typical workflow for adding a simple new backend endpoint to my company's web application will be:

1) Send a chat gpt request with the existing router code and describe in natural language the name of the new endpoint, what I need it to do, and any functions that I want it to use. 2) Read through it and check that the logic is ok. 3) Send a chat gpt request with the existing router tests and describe in natural language what endpoint I want to hit, and what I want the test to verify. 4) Check that the response makes sense and run the test. 5) Any errors either debug on my own, or iterate back and forth again with chat gpt.

We are still in the early stages of what it means to have an intelligent natural language system at our fingertips. For me, it means no longer really needing to bother with repetitive boilerplate code and test harnessing. This is a huge speedup for my professional workflow and a significantly more enjoyable coding experience.