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Gitlab’s AI-assisted code suggestions
61–70 of 160 posts
Re: Gitlab’s AI-assisted code suggestions
#62I just canceled my Copilot subscription last night. I definitely never saw the productivity boost that I’ve seen so many claim. I actually feel like the suggestions seemed to get worse during my month of using it for some reason. Towards the end, it started suggesting these large blocks of code (another issue I had with the interface as well) which were very not relevant to what I was attempting to write. All in all,…
TBH, using this as a fancy smart autocomplete doesn't seem like the best idea. I can't believe that I'm suggesting something that sounds like Clippy... but... It really needs to be something where you can rattle off a list of requirements and have it build the code for you. The code context is necessary, but not sufficient.
It’s coming up: https://github.com/features/preview/copilot-x
Re: Gitlab’s AI-assisted code suggestions
#63Crucial: do they train on GPL code? If I am to use this tool, I must abide by the license terms of the training data. Even if it is found that the GPL does not cover LLM responses as derivative works, I would prefer to be on the safe side and refuse to use models trained on software with non-permissive licenses unless I am building Free Software.
An impressive iteration on this would be a model that would say "here's my solution, and here's what it's inspired by, you may need to update your software's license and/or distribution if you use this solution."
Re: Gitlab’s AI-assisted code suggestions
#64Is the Go example even valid? I've never seen that (arr: [[]]int) syntax.
We need LLMs to respect the grammar of the language they are generating in.
Re: Gitlab’s AI-assisted code suggestions
#65Re: Gitlab’s AI-assisted code suggestions
#66Crucial: do they train on GPL code? If I am to use this tool, I must abide by the license terms of the training data. Even if it is found that the GPL does not cover LLM responses as derivative works, I would prefer to be on the safe side and refuse to use models trained on software with non-permissive licenses unless I am building Free Software.
Even MIT licensed code requires you to preserve the copyright and permission notice. If a human did what these language models are doing (output derivative works with the copyright and license stripped), it would be a license violation. When humans want to create a new implementation with clean IP, they have one team study the IP-encumbered code and write a spec, then a different team writes a new implementation acco…
There’s a clear separation between the training process which looks at code and outputs nothing but weights, and the generation process which takes in weights and prompts and produces code.
The weights are an intermediate representation that contains nothing resembling the original code.
Re: Gitlab’s AI-assisted code suggestions
#67Okay, but how much are they charging? It's getting really annoying how many sites force you into a trial just to find out how much it'll cost when it ends. EDIT: Is this even positioned to compete with Copilot? What editors are there plugins for? There is surprisingly little information on the site.
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Re: Gitlab’s AI-assisted code suggestions
#68I just canceled my Copilot subscription last night. I definitely never saw the productivity boost that I’ve seen so many claim. I actually feel like the suggestions seemed to get worse during my month of using it for some reason. Towards the end, it started suggesting these large blocks of code (another issue I had with the interface as well) which were very not relevant to what I was attempting to write. All in all,…
Same. It’s funny reading comments on here. Even gpt4 I think is just ok. Maybe the people who see these huge increases are more junior?
Re: Gitlab’s AI-assisted code suggestions
#69I just canceled my Copilot subscription last night. I definitely never saw the productivity boost that I’ve seen so many claim. I actually feel like the suggestions seemed to get worse during my month of using it for some reason. Towards the end, it started suggesting these large blocks of code (another issue I had with the interface as well) which were very not relevant to what I was attempting to write. All in all,…
Did you change the way you worked to help facilitate it at all?
I get great results from Copilot, but that's because I do a bunch of things to help it work for me.
One example: I'll often paste in a big chunk of text - the class definition for an ORM model for example - then use Copilot to write code that uses that class, then delete the code I pasted in again later.
Or I'll add a few lines of comments describing what I'm about to do, and let Copilot write that code for me.
Did you try the trick where you paste in a bunch of code and then start writing tests for it and Copilot spits out the test code for you?
A few more notes about how I've used Copilot here:
- https://til.simonwillison.net/gpt3/writing-test-with-copilot
- https://til.simonwillison.net/gpt3/reformatting-text-with-co...
I've also used Copilot to take educated guesses at things - like an inline mini-ChatGPT - with good results:
- https://til.simonwillison.net/gpt3/guessing-amazon-urls
As with so many other AI tools, Copilot is desperately lacking detailed documentation. It's not at all obvious how to get the most out of it.
Re: Gitlab’s AI-assisted code suggestions
#70Earlier quoted context omitted.
Even MIT licensed code requires you to preserve the copyright and permission notice. If a human did what these language models are doing (output derivative works with the copyright and license stripped), it would be a license violation. When humans want to create a new implementation with clean IP, they have one team study the IP-encumbered code and write a spec, then a different team writes a new implementation acco…
There’s a clear separation between the training process which looks at code and outputs nothing but weights, and the generation process which takes in weights and prompts and produces code. The weights are an intermediate representation that contains nothing resembling the original code.
The neurons in my brain when I plagiarize are just arrangements of atoms that contain nothing that resembles orginal code/text passages/etc.