[deleted]
An example of LLM prompting for programming
61–70 of 297 posts
Re: An example of LLM prompting for programming
#62Is it me or does this just create a bunch of extra steps and gratuitous complexity? These tools are not so efficient or make anything easier, it seems. I'm sorry to the enthusiasts here - I am usually excited about AI and a student of Computational Linguistics, but I think this emperor is naked.
Re: An example of LLM prompting for programming
#63To me, this is a great illustration of why chat is a terrible interface for a coding tool. I've gone down this path as well, learning that you need to have a detailed prompt that establishes a lot of context, and iteratively improve it to generate better code. And yup, generating a task list and working from that is definitely a key strategy for getting GPT to do anything bigger than a few paragraphs. But compare tha…
As a hobbyist developer with no formal training, I wish Copilot had a 'teaching' or "Senior Dev" mode, where I can play the role of the Junior Dev. I'd like it to pick up on what I'm trying to write, and then prompt me with questions or hints, but not straight up give me the code. Or, if that's too Clippy-like annoying, let me prompt it when I'm stuck, and only then suggest hints or ask suggestive questions that guid…
One thing you might try with Copilot is to ask it to explain the code. It can often give insight, even on code that you yourself wrote a few minutes ago.
Re: An example of LLM prompting for programming
#64If somebody thinks an LLM is coming for everybody's coding job, I'd say this article is a great counterpoint just for existing. You could tell someone from decades ago that we now use a very high level language for complex tasks in complex code ecosystems, never even mention AI, explain that the parser is really generalist-biased, and this article would make perfect sense as an example of exemplary code by a modern c…
‘Artists' jobs are safe because AI is bad at hands.’
Re: An example of LLM prompting for programming
#65I started a bit of an exploration around prompts and code a week or three back. I want to figure out the down/up-sides and create tools for myself around it. So, for this project (a game), I decided "for fun" to try to not write any code myself, and avoid narrow prompts that would just feed me single functions for a very specific purpose. The LLM should be responsible for this, not me! It's pretty painful since I sti…
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 you feel like you could feasible for someone who knows little to no code?
- it seems like you already know well all the technology behind what you are building (I.e. you know how to write a game in js). Do you think you could do this without already having that background knowledge?
- how many times do you have to refine a prompt before you get something that is worth committing?
Re: An example of LLM prompting for programming
#66Earlier quoted context omitted.
For one, assembly ceases to be a relevant detail and is replaced by other relevant details. So, I can't code fast games in a 1984 workplace, currently, being too out of touch with assembly on a given chipset. But I also can't wave my hands at an LLM and expect a modern, fast game of the desired quality to code itself. (Even though a clip art-style result is possible, the requirements are always going to be special de…
Now you got me on the edge of my seat. What is this personality type?
Ni-dominant. It exists nowadays in various post-Jungian models, many of which are really fascinating, having fleshed it out a lot.
The opposing function to Ni is Se, which creates a dichotomy of planning/foreseeing vs. doing/performing. The functions oscillate as a kind of duty cycle, so a lot of sages out there have hobbies as musicians, stage magicians, etc.
This dichotomy also effectively shuts out detail memory for context, dealing mostly with present vs. future. Even nostalgia is often ignored on the daily. So a Ni-dom will usually describe their memory as pattern-based, gestalt, more vague or general, etc.
Re: An example of LLM prompting for programming
#67How to overengineer with an LLM, don't state clearly the requirements, shove your pet patterns first, it is more important to follow the slice redux awareness hook than to have working solution, never trust your developers to make decisions, worry more how it is built than building a solution. My way to work with an LLM is to have a good, clear requirement and make the LLM write a possible file organization and query…
Generally, I agree that approach works well. It’s going to perform better if it’s not trying to fulfill your teams existing patterns. On the other hand, allowing lots of inconsistencies in style in your large code base seems like a quick way to create a hot mess. Chat prompts seem like a really difficult way to communicate code style and conventions though. A sibling comment to yours mentions that a copilot autocomplete seems like a much better pattern for working in an existing code base, and I tend to agree that’s much more promising. Read the existing code, and recommend small pieces as you type
Re: An example of LLM prompting for programming
#68If somebody thinks an LLM is coming for everybody's coding job, I'd say this article is a great counterpoint just for existing. You could tell someone from decades ago that we now use a very high level language for complex tasks in complex code ecosystems, never even mention AI, explain that the parser is really generalist-biased, and this article would make perfect sense as an example of exemplary code by a modern c…
The opposite might be true, and here’s why - 1) by using English as spec, the barrier of entry has gone lower, 2) LLMs can also write prompts and self introspect to debug.
I mean sure if the world were to run on basic code. Perhaps wordpress developers may feel slightly threatened by even that is well above all examples of a"i" code i've seen.
Re: An example of LLM prompting for programming
#69To me, this is a great illustration of why chat is a terrible interface for a coding tool. I've gone down this path as well, learning that you need to have a detailed prompt that establishes a lot of context, and iteratively improve it to generate better code. And yup, generating a task list and working from that is definitely a key strategy for getting GPT to do anything bigger than a few paragraphs. But compare tha…
I've noticed that after using copilot on a code base for a while, you can effectively prompt the AI just by creating a descriptive comment. // This function ends the call by sending a disconnection message to all connected peers Bam, copilot will recommend at least the first line, with subsequent lines usually being pretty good, and more and more frequently, it will recommend the whole function. I still use GPT-4 a l…
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.
Re: An example of LLM prompting for programming
#70Is there a tool that allows to do this within a text editor (for instance VS Code). Using selection instead of copy pasting. Having the LLM store its output directly within local files. Maybe giving it access to a shell to run the tests on its own ?
If there isn't a tool currently...then give it time, and eventually there will be tools similar to what you dewscribed. I'd guess they'll be called something like prompt editors (like text editors, etc.). ...Or, maybe they'll be called chatditors...no, no, prompt editors is better. ;-)