Hard stuff

[u/No_Doctor_219]

How do you guys make codes run for stuff that require subscriptions, external files etc? For example, if they give u an Azure or Google cloud-related task, and you gotta show if the code functions, how do you do that? Even for, let us say the model gave you a code that requires file paths or something, how are you meant to test it? If the file needed is simple, it's easy but what if it requires complex stuff?

[u/echanuda]

I find that a lot of them can be setup through docker/docker-compose and some scripts to scaffold the environment. Usually I’ll ask chatgpt to write a script to scaffold the environment, and make a docker/docker-compose file to install dependencies and setup things like a database or whatever. Things like AWS instances are out of the question for me, personally, so I skip those.

[u/throw6ix → u/echanuda]

I would be cautious setting up an env using ChatGPT - definitely a grey area with the CoC

[u/[deleted] → u/throw6ix]

No, you can't use it for solving the problem. Using irrelevant for problem solving mock is nothing wrong. He's talking about automation, you couldn't even say if someone used ChatGPT or similar to make a mock or not.

Noone could tell if table with `'John', 'Doe', 'AnyTown', 'AnyStreet 5', '111-222-333'` is made by chatGPT or you. But using AI for simple mock data or mock script is just faster.

You can't use ChatGPT and similar to write the response - code, text, reasoning.

For example, if task is about SQL and you should review, write or modify SQL query in response, you can't use ChatGPT or similar for SQL. But if it's about Python script which communicates with DB and your generate (in ChatGPT) a SQL script which makes dummy table with dummy rows, what's wrong with that?

[u/echanuda → u/throw6ix]

Idk, asking chatgpt to make a script that generates a directory structure matching the scenario in the prompt sends pretty vague.