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858 points cryptophreak | 1 comments | | HN request time: 0s | source
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wiremine ◴[] No.42936346[source]
I'm going to take a contrarian view and say it's actually a good UI, but it's all about how you approach it.

I just finished a small project where I used o3-mini and o3-mini-high to generate most of the code. I averaged around 200 lines of code an hour, including the business logic and unit tests. Total was around 2200 lines. So, not a big project, but not a throw away script. The code was perfectly fine for what we needed. This is the third time I've done this, and each time I get faster and better at it.

1. I find a "pair programming" mentality is key. I focus on the high-level code, and let the model focus on the lower level code. I code review all the code, and provide feedback. Blindly accepting the code is a terrible approach.

2. Generating unit tests is critical. After I like the gist of some code, I ask for some smoke tests. Again, peer review the code and adjust as needed.

3. Be liberal with starting a new chat: the models can get easily confused with longer context windows. If you start to see things go sideways, start over.

4. Give it code examples. Don't prompt with English only.

FWIW, o3-mini was the best model I've seen so far; Sonnet 3.5 New is a close second.

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shmoogy ◴[] No.42936605[source]
Have you tried cursor? I really like the selecting context -> cmd+l to make a chat with it - explain requirement, hit apply, validate the diff.

Works amazingly well for a lot of what I've been working on the past month or two.

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gnatolf ◴[] No.42936971[source]
I haven't tried cursor yet, but how is this different from the copilot plugin in vscode? Sounds pretty similar.
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1. cheema33 ◴[] No.42938137[source]
> copilot plugin in vscode

Copilot, back when I used it, completely ignored context outside of the file I was working in. Copilot, as of a few weeks ago, the absolute dumbest assistant of all the various options available.

With cursor, I can ask it to make a change to how the app generates a JWT without even knowing which file or folder the relevant code is in. For very large codebases, this is very very helpful.