11–20 of 83 posts
It's actually a nice tool but I'm getting a "you should be a unicorn to fork ~Chrome~ VS Code" vibe.
I've been using cursor a bit, I don't know if it's because what I'm doing is not frontend web development but the results have not been as insane as others claim. I really don't have any difficulty creating basic web layouts or forms so an AI assistant doing that for me is nice but it does not transform my work.
I haven't done anything with Cursor that I wouldn't be able to do without it so far, but for me it's made certain tasks _much_ faster.
I dont know GLSL, (but I am very experienced with C/C++/Python), and I wrote this by using cursor and muddling through it, all in one afternoon.
Could I have learnt GLSL and coded it myself, maybe, maybe not. We are at the point now that I was able to produce something commercially useful to my platform in a language I didn't know, in a single afternoon, GLSL is pretty similar to C, but even still, theres a certain threshold of effort and time where "could I have done it with enough time" transforms into "I couldn't have done it", and we are close to that.
I've been using cursor a bit, I don't know if it's because what I'm doing is not frontend web development but the results have not been as insane as others claim. I really don't have any difficulty creating basic web layouts or forms so an AI assistant doing that for me is nice but it does not transform my work.
I haven't done anything with Cursor that I wouldn't be able to do without it so far, but for me it's made certain tasks _much_ faster.
Earlier quoted context omitted.
GitHub Copilot already includes open files in the context.
But not the whole repo - Cursor indexes all your files in a vector DB and then can use RAG when querying models. Perhaps the biggest benefit I get from Cursor is that I can ask it questions about the whole repo - when working with a sizable team in a large repo, this is hugely valuable.
Copilot can use entire repositories using Copilot enterprise and it's guaranteed none of the data is used for training purposes. https://github.blog/news-insights/product-news/github-copilo...
Something that's been amusing me about Cursor is that I feel a lot of the excitement about it isn't so much about Cursor, it's people realizing that LLMs have got REALLY good at writing code now. GPT-4 was good for the past year, but the latest models (especially Claude 3.5 Sonnet) are spectacular. Those of us who've been copying and pasting LLM-generated code back and forth from ChatGPT and Claude.ai for the past ye…
I would love to see someone on stream use AI really effectively. I really try, but for the life of me, I can’t get AI to generate anything useful beyond simple tests. They’re still autocomplete++ for me.
Something that's been amusing me about Cursor is that I feel a lot of the excitement about it isn't so much about Cursor, it's people realizing that LLMs have got REALLY good at writing code now. GPT-4 was good for the past year, but the latest models (especially Claude 3.5 Sonnet) are spectacular. Those of us who've been copying and pasting LLM-generated code back and forth from ChatGPT and Claude.ai for the past ye…
Something that's been amusing me about Cursor is that I feel a lot of the excitement about it isn't so much about Cursor, it's people realizing that LLMs have got REALLY good at writing code now. GPT-4 was good for the past year, but the latest models (especially Claude 3.5 Sonnet) are spectacular. Those of us who've been copying and pasting LLM-generated code back and forth from ChatGPT and Claude.ai for the past ye…
I would love to see someone on stream use AI really effectively. I really try, but for the life of me, I can’t get AI to generate anything useful beyond simple tests. They’re still autocomplete++ for me.
Rather than your seeing someone stream "really effective 99th percentile AI coding", maybe it would be more illustrative for us all to see someone stream the "50th percentile developer unassisted" experience.
I suspect that's the thing we're all missing to help us understand the potential value of AI coding: how slow and ineffectively the median software developer works, bc they just quietly slog away and don't talk much about how they work :)
I humbly include myself on that thought btw
But that should be no surprise. After all, LLMs simply complete the next token in a long sequence of text based on some probability outcome. A lot of the code is a sequence of patterns. So the LLM should be able to do well.
I feel that true coding agents are perhaps around the corner, but it seems to me that we are a couple of innovations away before this happens.
However, even with coding agents, there will be simply more people producing a lot more code (even non developers) which I believe will drive the demand for higher quality code or at least code that can be understood and proved by other humans. Thus, coding agents are just force-multipliers. Great developers will become greater. I wrote something about this here if you are interested: go.cbk.ai/divide. My $0.02.