101–110 of 297 posts
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Either way, you’re sending your companys biggest asset to another company, aren’t you? I’ll try these tools when they start being able to run locally
I surely hope they use my copyrighted code and make millions out of it. Ideal case for me to sue them for lots of money.
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> Copilot is much better for someone actually writing code I haven't used copilot yet, but I'm using occasionally chatgpt with prompts such as "write a bash/python script take takes these parameters and perform this tasks". Then I iterate if needed, and usually, i can get what i want faster than without using chatgpt. It's not a game changer, but it's a performance boost. How natural language is a distraction here? a…
Try not using natural language and just type what you'd type into Google. You'll get the same results and realize that all of the natural language fluff is totally unnecessary. I just typed in "bash script recursive chmod 777 all files" (as a dumb toy example) and got a resulting script back. It was surrounded by two natural language GPT comments: > It's generally not recommended to give all files and directories the…
chmod ugo+rwX . -R
Of course, that's not exactly what you asked for (it's better, read the chmod man page: X applies executable only to directories) but you could just replace ugo+rwX with 777 or 0777.
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Absolutely. People will quickly realize that for coding, the natural language part of LLMs is a distraction. Copilot is much better for someone actually writing code, but unfortunately doesn't get as emphasized due to the narrative surrounding LLMs right now.
Has the Copilot backend been updated to use anything more advanced yet? I tried it out when it was new and free for a while and it really struggled with anything that wasn't incredibly common. GPT 4 in its chat form works a whole lot better for niche stuff than that one did.
It's the opposite of chatGPT: it takes more time to produce useful output but it gets much better in more complex programs while ChatGPT gets worse.
This brings back some terrible memories.
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That is really interesting experiment! I have so many questions. - do you feel like this could be a viable work model for real projects? I recognize it will most likely be more effective to balance LLM code with hand written code in the real world. - some of your prompts are really long. Do you feel like the code you get out of the LLM is worth the effort you put in? - given that the code returned is often wrong, do…
I think it could be viable, even right now, with a big caveat, you will want to do some "human" fixes in the code (not just the glue between prompts). The downside of that is you might miss out on parts of the nice natural language story in the commit history. But the upside is you will save a lot of time. Down the line you will be able to (cheaply) have LLMs know about your entire code-base and at that point, it wil…
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One thing that really bothers me is that I want it to use best practices and it doesn't really know which ones I'm talking about, and then I realize they are _my_ set of best practices, made from others' nameless best practices. So I have to decide if it's just a matter of manually converting the 5-10 little things like using `env bash` in the header, etc. Or do I ask it to remember that and proceed to the next layer…
> Or do I ask it to remember that and proceed to the next layer of the project I think this could be solved with a good browser extension. Something that provides an easy to access (e.g., keyboard-only) way to paste customized prompt preludes that enforce your style (or styles if, say, you're using multiple languages). It looks like Maccy could do the job, albeit not as an extension. I haven't tried it yet.
So, let's say you can see your conversation as normal, but you can also see your actual code project as a node-based procedural design layout in an editable window. The relevant conversation details are used to draw the nodes.
You go to one node representing a bash script and click its Patterns tab and search-to-type for the community pattern, "Joe's Best Bash Practices". It's added to your quick palette and LLM offers to add similar patterns to other nodes in Nim and Pascal and ABS, but actually for ABS there's a "concept" symbol that indicates it's only going to be able to guess what you would want based on the others.
Then it offers to gradually teach you node-shorthand as you edit the project, so eventually you don't need to write any prompts, just basic shorthand syntax. Where the syntax gets clunky, or when you buy a custom keyboard just for this syntax but with a few gotchas, you can work together and change syntax to fit.
Nbdy hus lrnd shrtnd nos knda whr m gng wths.
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Copilot is a game-changer and very underrated IMO. GPT4 is smart but not really used in production yet. Copilot is reportedly generating 50% of new code and I can't imagine going without it.
For my side projects, copilot easily generates 80% of the code. It snoops around the local filesystem and picks up my naming schemes and style to help recommend better. It makes me so much more productive. For work projects, I tried it on some throwaway work because we're still not allowed to use it for IP reasons, but it is very good at finding small utility functions to help with DRY, and can help with step by step…
Are you sure about this? It doesn't seem to work on my machine. I think it will infer things that might be in other modules, but only based on the name. I'm basing this on the fact it assumes my code has an API shape that's popular but that I don't write (eg free functions vs methods).
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Where do you get that 50% number? Do you mean 50% of all new code in the industry? That seems beyond extremely unlikely.
The number is 40%, and it's 40% of code written by Copilot users . It's also just for Python: > In files where it’s enabled, nearly 40% of code is being written by GitHub Copilot in popular coding languages, like Python—and we expect that to increase. https://github.blog/2022-06-21-github-copilot-is-generally-a...
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Try not using natural language and just type what you'd type into Google. You'll get the same results and realize that all of the natural language fluff is totally unnecessary. I just typed in "bash script recursive chmod 777 all files" (as a dumb toy example) and got a resulting script back. It was surrounded by two natural language GPT comments: > It's generally not recommended to give all files and directories the…
you can always include the instruction to only return the code and no other text
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I surely hope they use my copyrighted code and make millions out of it. Ideal case for me to sue them for lots of money.
How would you ever know? It will come in chunks of a dozen or less lines at a time and it will be written into your competitor's proprietary codebase (that you don't have access to).
If you are building something truly valuable locally, and it is innovative or otherwise disruptive and relies on being a first mover, centrally hosted LLMs are a non-starter.
Most software corps have countless millions of lines of code. You'd be spending lifetimes tracing where someone ripped your "copyrighted" techniques and methods.
The complete lack of security awareness and willingness to compromise privacy for convenience in people deeply saddens me.