What a feat! There's at least 3 pages of google search results for the nearly same thing. The "prompt" I used in google.com is:

site:github.com map comparison

I guess the difference, is that my way uses dramatically less time and resources, but requires directly acknowledging the original coders instead of relying on the plagiarism-ish capabilities of reguritating something through an LLM.

For years I've kept a list of apps / ideas / products I may do someday. I never made the time, with Cursor AI I have already built one, and am working on another. It's enabling me to use frameworks I barely know, like React Native, Swift, etc..

The first prompt (with o1) will get you 60% there, but then you have a different workflow. The prompts can get to a local minimum, where claude/gpt4/etc.. just can't do any better. At which point you need to climb back out and try a different approach.

I recommend git branches to keep track of this. Keep a good working copy in main, and anytime you want to add a feature, make a branch. If you get it almost there, make another branch in case it goes sideways. The biggest issue with developing like this is that you are not a coder anymore; you are a puppet master of a very smart and sometimes totally confused brain.

I think we're going to see a similar backlash to AI apps as we did with AI art.

Not necessarily because users can identify AI apps, but more because due to the lower barrier of entry - the space is going to get hyper-competitive and it'll be VERY difficult to distinguish your app from the hundreds of nearly identical other ones.

Another thing that worries me (because software devs in particular seem to take a very loose moral approach to plagiarism and basic human decency) is that it'll be significantly easier for a less scrupulous dev to find an app that they like, and use an LLM to instantly spin up a copy of it.

I'm trying not to be all gloom and doom about GenAI, because it can be really nifty to see it generate a bunch of boilerplate (YAML configs, dev opsy stuff, etc.) but sometimes it's hard....

I have about 6 months of coding experience. All I really knew was how to build a basic MERN app

I’ve been using Sonnet 3.5 to code and I’ve managed to build multiple full fledged apps, including paid ones

Maybe they’re not perfect, but they work and I’ve had no complaints yet. They might not scale to become the next Facebook, but not everything has to scale

Claude is fantastic. I think the model itself is good enough to be able to write good software when competently directed; it's let down only by the UI/UX around it.

My only complaints are:

a) that it's really easy to hit the usage limit, especially when refactoring across a half dozen files. One thing that'd theoretically be easyish to fix would be automatically updating files in the project context (perhaps with an "accept"/"reject" prompt) so that the model knows what the latest version of your code is without having to reupload it constantly.

b) it oscillating between being lazy in really annoying ways (giving largeish code blocks with commented omissions partway through) and supplying the full file unnecessarily and using up your usage credits.

My hope is that Jetbrains give up on their own (pretty limited) LLM and partner with Anthropic to produce a super-tight IDE native integration.