Earlier quoted context omitted.
I wish cursor was an extension of VSCode and not a fork.
I read somewhere they had to make a fork because it wasn't possible to implement some features if it was an extension alone. Can't find where I read it though.
GitHub Copilot: The Agent Awakens
231–240 of 260 posts
Re: GitHub Copilot: The Agent Awakens
#232I use Copilot and it’s a game-changer for my productivity, but I really wish it was capable of natural language searching. So for example I could ask it “show me all places in the code where x is assigned a value but a flush() command is not immediately issued afterwards”.
I answer those kinds of questions by piping my entire codebase into a large context model (like Claude or o3-mini or Gemini) and prompting it directly. Here's a recent example: files-to-prompt datasette tests -e py -c | \ llm -m gemini-2.0-flash-exp -u \ 'which of these files contain tests that indirectly exercise the label_column_for_table() function' https://gist.github.com/simonw/bee455c41d463abc6282a5c9c132c...
This is more sophisticated for serializing your repo. Please check it out and let me know what do you think?
Re: GitHub Copilot: The Agent Awakens
#233Earlier quoted context omitted.
I've been switching back and forth a bit at work recently, and I find Cursor still has a slight edge.
I use both too. 1 year ago Cursor was way ahead. Copilot had only one model and it was 4k input 4k output and it was forgetting about the previous reply. It was horrible. One year later, the input context is at 128k token if you use vs code insider (64k for stable). You have multiples models, etc. they still cut corner like o1 barely answer (I guess they severely restrict the amount of output token) but sonnet 3.5 wo…
Next Edit might finally compete with Cursor Tab. I have not tested it yet though
Re: GitHub Copilot: The Agent Awakens
#234The post appears to have a lot of points in a relatively short amount of time (165 in 3h). I wonder why it has fallen of the front page of hn.
Re: GitHub Copilot: The Agent Awakens
#235“Copilot puts the human at the center of the creative work that is software development. AI helps with the things you don’t want to do, so you have more time for the things you do.” … until we train our model on your usage data and totally replace you
More time for the things I do? All AI tools I've used turned my daily into fighting the agent. While LLMs can save time on tedious repetitive tasks, they are atrocities in producing bug free code. Even if they reached 99.999% accuracy without, they wouldn't be worth it: If I wrote a function and it turns out buggy, I can, even months later, investigate and find the culprit. If an LLM introduces a bug, I would rather…
Don't you agree that having a free artificial junior developer at your beck and call is better than not having freely and quickly produced code that can help point you into the direction your engineering needs to go in?
As a senior developer, don't you also fight with managing your subordinates? Don't you have to solve the management problem and do leadership tasks?
As a senior developer, don't you also have to deal with code that is not bug free, as you yourself don't always produce bug free code? Especially on the first try.
Maybe your approach to LLMs is wrong? Maybe you expect one shot solutions when that is not how LLMs are supposed to be used? Instead, you could invest in working with this new tool and then see phenomenal productivity gains. And also maybe grow a new capability in software development with the use of LLMs in your engineering.
Re: GitHub Copilot: The Agent Awakens
#236Re: GitHub Copilot: The Agent Awakens
#237Earlier quoted context omitted.
> It sounds like you've never used a welding torch, installed a kitchen sink, or done similar blue collar work. These jobs will never be replaced by robots, or by a non-trained person wearing a headset. Why do you think they will never be replaced by robots?
Not the person who said it and I wouldn't say "never"... But I will say that until we have a robot that can fold laundry, we won't have a robot that can go into your crawlspace and replace a chunk of crusty old galvanized pipe with copper or pex. Robots have excelled, so far, in controlled environments. Dealing with the chaos of plumbing in a building that has been "improved" by different people over the course of a…
Re: GitHub Copilot: The Agent Awakens
#238Can anyone speak to weather it's worth going back to co-pilot from cursor. On the face of it $10 a month for unlimited messages looks compelling. Is it really unlimited? From these videos it's starting to look pretty similar to cursor...
It's definitely catching up with Cursor but not there yet. In particular: - Edits take quite a bit longer to apply, breaking flow - Autocomplete predictions (equiv. of Cursor Tab) not as good
But in the past 6 months or so it's gone from being pretty hopeless to very useful. If I was forced to use it instead of Cursor it wouldn't be a huge deal any more.
Re: GitHub Copilot: The Agent Awakens
#239Earlier quoted context omitted.
I've been switching back and forth a bit at work recently, and I find Cursor still has a slight edge.
I use both too. 1 year ago Cursor was way ahead. Copilot had only one model and it was 4k input 4k output and it was forgetting about the previous reply. It was horrible. One year later, the input context is at 128k token if you use vs code insider (64k for stable). You have multiples models, etc. they still cut corner like o1 barely answer (I guess they severely restrict the amount of output token) but sonnet 3.5 wo…
Re: GitHub Copilot: The Agent Awakens
#240[1] https://en.wikipedia.org/wiki/Fourth-generation_programming_...