he did also say they weren't going to try and make their own chips in an Oxford interview. I think he is known for saying one thing while doing the other. Like the former board said, he isn't always candid.
honest question: how are you writing integration tests? We are writing these as separate test suite often with the same test style. And in this scenario testcontainers are very valuable.
Really, you use testcontainers so that you can manage everything for your test with a single build command, instead of running something extra, then running your tests, then shutting down your docker containers. Plus, with it integrated into your test suites, you can run code against your docker containers on setup/teardown, before/after container start, before/after each test, etc.
Meanwhile docker compose selling point: 'because you don't have to muck around with testcontainers; I guess some people might find that more attractive'.
Oh, absolutely! And as the other guy pointed out, docker-compose can be quite reusable when developing locally if you write it right.
But at $WORKPLACE we often use pytest-xprocess to start the required app in the same container where the tests run. It's probably the easiest way mostly because a custom wrapper does all the heavy lifting (starts the app, checks that it is running and responding to requests before the tests start, correctly terminates it when tests end).
It is. For API access you have to create an account at https://platform.openai.com. You pay per 1k token. For API access to GPT-4 put your organization (org id) on the waitlist.
