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@carlishaaaaaaaaaaa: #motionconference
Carlyy
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Saturday 26 July 2025 20:07:20 GMT
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gracieroby4 :
It's over😔
2025-07-26 20:46:30
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ALANIS4L :
2025-07-27 01:59:14
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Quin Clarke :
2025-07-26 22:33:50
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Here’s my experience so far using GitHub Copilot set on a “free” ChatGPT model to take this iOS keyboard extension I built myself and use it to create a matching Android keyboard extension. I’m using React Native for this app, but the keyboard extensions must be built with iOS/Swift and Android/Kotlin native code. This is a case for AI where it’s not working on a greenfield project (entirely new), but it needs to heavily analyze the existing iOS/Swift code to re-implement it in Android/Kotlin. GitHub Copilot in VSCode: — It definitely feels like Copilot is a 1st-class experience in VSCode since it’s all Microsoft-owned; it’s integrated well. — The speed at which I’ve been able to work is great, and I was able to understand the UI/UX quickly. — The UI/UX makes it pretty easy to see what the current context is, add context by dragging files or right-clicking, and manage what code has been changed. GPT 4.1 model performance: — It understood my initial request very well, came up with a good plan, and implemented it. — Unfortunately, the code did not compile/run without me having to prompt a lot to fix the errors (via the error messages). — After that, I did get a working Android keyboard extension that didn’t look or work exactly like the iOS keyboard, but was pretty good for just minutes of work. — It was able to do about 75% of the subsequent tasks successfully without issue, but occasionally it would create new bugs, error out, or misinterpret what I was asking. — There were times where it was quicker for me to just manually make the change. I will say that me being a software developer definitely was critical, as I was able to stop the AI for destroying the codebase at times, get it unstuck, and prompt it to do things that mattered. I can see how it can be much easier to use A.I. to build brand-new projects versus work within large existing projects. The more existing context there is, the more chance it makes mistakes. Overall, I was able to complete work at 3-5x faster than I normally would with the A.I. changing files directly, although I don’t see yet how a software developer could not be part of the process for production-ready code. 💬 Comment: Have you used A.I. in your code editor, like GitHub Copilot or Cursor? If you found this interesting or helpful, please consider liking, sharing, or saving to support it.
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