Comment by CrimsonRain

Comment by CrimsonRain 14 hours ago

You are just bad with prompting or working with very obscure language/framework or bad coding pattern or all of it. I had a talk with a seasoned engineer who has been coding for 50 years and has created many amazing things over lifetime about him having really bad results with AI tools I suggested for him. When I use AI for the same purposes in the same repo he's working on, it works nicely. When he does it, results are always not what he wants. It comes down to a combination of him not understanding how to guide the LLMs to correct direction and using a language/framework (he's not familiar with) he can't judge the LLMs output. It is really important to know what you want, be able to describe it in short points (but important points). Points that you know ai will mess up if you don't specify. And also be able to figure out which direction the ai is heading with the solution and correct it EARLY rather than later. Not overloading context/memory with unnecessary things. Focusing on key areas to improve and much more. I'm using AI to get solutions done that I can definitely do myself but it'll take a certain amount of time to hunt down all documentation, API/lib calls etc. With AI, 1/10th time is enough.

I've had massive success with java, js/TS, html css, go, rust, python, bitbucket pipelines/GitHub actions, cdk, docker compose, SQL, flutter/dart, swift etc.

douglasisshiny 13 hours ago

I've had the same experience as the person to whom you're responding. After reading your post, I have to ask: if you're putting so much effort into prompting it with specific points, correcting it often, etc., why not just write the code yourself? It sounds like you're putting a good deal of effort into prompting it.

Aren't you worried that overtime you'll rely on it too much and your offhand knowledge will get worse?

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CopyOnWrite 13 hours ago

I have read somewhere, that LLMs are mostly helpful to junior developers.
Is it possible the person claiming success with all these languages/tools/technologies is just on a junior level and is subjectively correct but has no point of reference how fast coding is for seniors and how quality code looks like?

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xandrius 13 hours ago

Not OP, it be comes natural and doesn't take a lot of time.
Anyway, if you want to, LLMs can today help with a ton of programming languages and frameworks. If you use any of the top 5 languages and it still doesn't work for you, either you're doing some esoteric work or you're doing it wrong.

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- CopyOnWrite 12 hours ago
  
  Could you point me to a youtube video or a blog post which demonstrates how LLMs help writing code which outperforms a proficient human?
  My only conditions:
  - It must be demonstrated by adding a feature on a bigger code base (>= 20 LOC)
  - The added feature cannot be a leaf feature (means it must integrate with the rest of the system at multiple points)
  - The prompting has to be less effort/faster than to type the solution in the programming language
  You can chose any programming language/framework that you want. I don't care if it is Java, JavaScript, Typescript, C, Python, ... hell, I am fine with any language with or w/o a framework.
  
  Reply View | 0 replies

CopyOnWrite 13 hours ago

I do not rule out, that I am just very bad with prompting.

It just surprises me, that you write you had massive successes with "java, js/TS, html css, go, rust, python, bitbucket pipelines/GitHub actions, cdk, docker compose, SQL, flutter/dart, swift etc.", if you include the usual libraries/frameworks and the diverse application areas for these technologies, even with LLMs support it seems to me crazy to be able to make meaningful contributions in non trivial code bases.

Concerning SQL I can report another fail with LLMs, in a trivial code base with a handful of entities the LLM cannot come up with basic window functions.

I would be very interested if you could write up a blog post or could make a youtube video demonstrating your prompting skills... Perhaps demonstrating with a bigger open source project in any of the mentioned languages how to add a non trivial feature with your prompting skills?

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