Having an AI help you code is like getting your six-year-old to help you put a shelf on the wall. Undirected, they’re just going to make a huge mess for you to clean up later. Given specific tasks within their abilities, they can actually make it both go faster and be an altogether more pleasant experience.
With direction and an operator who knows its limits, AI can be used to semi-automate many boring tasks. One of the things I’ve got set up in some of my open source projects is an LLM that takes bug reports and turns them into regression tests. I don’t always end up committing the AI-generated test (sometimes it’s very slow and I can better pinpoint the behaviour and target a test at that), but it helps because I don’t have to do that scaffolding myself, and I can just immediately jump into a debugger.
Presies.
Having an AI help you code is like getting your six-year-old to help you put a shelf on the wall. Undirected, they’re just going to make a huge mess for you to clean up later. Given specific tasks within their abilities, they can actually make it both go faster and be an altogether more pleasant experience.
With direction and an operator who knows its limits, AI can be used to semi-automate many boring tasks. One of the things I’ve got set up in some of my open source projects is an LLM that takes bug reports and turns them into regression tests. I don’t always end up committing the AI-generated test (sometimes it’s very slow and I can better pinpoint the behaviour and target a test at that), but it helps because I don’t have to do that scaffolding myself, and I can just immediately jump into a debugger.