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Using ChatGPT to generate a GPT project end-to-end

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Re: Using ChatGPT to generate a GPT project end-to-end

#181

Post by wseqyrku »

seunosewa wrote: post #131
rapiz wrote: post #120

Every post that claimed using ChatGPT to achieve non-trivial tasks turned out to have non-trivial human intervention. > (from the original article) In fact, I found it better to let ChatGPT generate a toy-ish version of the code first, then let it add things to it step-by-step. This resulted in much better output than, say, asking ChatGPT to generate production-quality code with all features in the first go. This als…

ChatGPT is a junior developer whose knowledge is broad but shallow.

Disagee. GPT is a senior and knows it all but doesn't know where to start unless you precisely instruct them what to do.

Re: Using ChatGPT to generate a GPT project end-to-end

#182

Post by mjr00 »

wseqyrku wrote: post #181
seunosewa wrote: post #131

Earlier quoted context omitted.

ChatGPT is a junior developer whose knowledge is broad but shallow.

Disagee. GPT is a senior and knows it all but doesn't know where to start unless you precisely instruct them what to do.

"Developer who needs precise instructions to accomplish every task" is the exact opposite of a senior developer

Re: Using ChatGPT to generate a GPT project end-to-end

#183

Post by SamPatt »

1024core wrote: post #178

I just asked ChatGPT (v4) to write an app (a trivial one), and it refused: As an AI language model, I'm unable to write an entire app for you. I guess they've shut down that capability...

It would be trivially easy to get it to do this, just not in one prompt.

Ask it for help in making your app instead of asking it for the whole thing.

Re: Using ChatGPT to generate a GPT project end-to-end

#184

Post by moonchrome »

jvanderbot wrote: post #18
zerop wrote: post #16

It's good at writing new code, with sufficient prompting. But the big open question as of now for engineering orgs is - can it edit existing code like developers, just by instructions. Is there any hands on experience anyone has on copilot-x?

Copilot without -x does this relatively well. But it's a hands-on process. I can't just give it some source files and say "go". But it can easily make you 10x. I often spend more time tab-completing than writing.

I'm sorry but that's just too hard to believe. Even if it was a perfect reasoning/coding engine the fact that it's context is so limited guarantees it will get stuff wrong.

I'm a fan of copilot - but no way in hell is it a 10x tool. It's probably 1.2x - which is a huge gain for such a cheap tool.

Re: Using ChatGPT to generate a GPT project end-to-end

#185

Post by wseqyrku »

mjr00 wrote: post #182
wseqyrku wrote: post #181

Earlier quoted context omitted.

Disagee. GPT is a senior and knows it all but doesn't know where to start unless you precisely instruct them what to do.

"Developer who needs precise instructions to accomplish every task" is the exact opposite of a senior developer

I guess it depends on how you'd define "senior" in this context, someone who knows lots of techstack or someone who has an idea. Of course that doesn't directly map to people's skills because most people develop skills in various dimensions at once.

Re: Using ChatGPT to generate a GPT project end-to-end

#186

Post by jjfoooo10 »

killthebuddha wrote: post #151
seunosewa wrote: post #131

Earlier quoted context omitted.

ChatGPT is a junior developer whose knowledge is broad but shallow.

IMO this leaves out some salient details. For example, I'd say ChatGPT is a very, very good junior developer. The kind of junior developer that loves computer science, has been screwing around with miscellaneous algorithms and data structures its whole life, has a near-perfect memory, and is awake 24/7/365, but has never had to architect a data-intensive system, write future-proof code, or write code for other develo…

Yeah, the junior dev analogy misses on the core capabilities. The ability to spit out syntactically correct blocks of code in a second or two is a massive win, even if it requires careful review.

Re: Using ChatGPT to generate a GPT project end-to-end

#188

Post by MuffinFlavored »

stuckkeys wrote: post #153
ryanSrich wrote: post #123

Earlier quoted context omitted.

I use GPT-4 with ChatGPT daily for coding. Here’s what I’ve found works for making the most out the limited prompts OpenAI gives you. - When you first start, tell ChatGPT about the limitation. Example - “I’m only allowed to send you 25 prompts every 3 hours. As a result, I need you to keep track of the messages I send you. At the end of each response you give me, please tell me how many prompts I have left, ex: this…

Request for a message cap increase. I think they go up to 100 but it depends on what you are doing.

there is some sort of output token or time limit responses. after 60 seconds or so it’ll just stop responding mid response

Re: Using ChatGPT to generate a GPT project end-to-end

#189

Post by ChatGTP »

pojzon wrote: post #176
seunosewa wrote: post #131

Earlier quoted context omitted.

ChatGPT is a junior developer whose knowledge is broad but shallow.

Now, who is going to mentor real human junior developers? Coz they wont progress by themselves (or not many will). Whats the initiative for companies to invest into junior developers now ?

Maybe the seniors will get replaced by juniors with ChatGPT ?

It is cheaper…

Re: Using ChatGPT to generate a GPT project end-to-end

#190

Post by MacsHeadroom »

senko wrote: post #46
MacsHeadroom wrote: post #21

Earlier quoted context omitted.

GPT-4 32k can fit a few thousand lines of code into a single prompt and output diff's, patches, and/or the fully modified code. For best results, pasting any relevant documentation into the prompt can help.

Is there word of ane outside big co's getting access to 32k ? I got 8k access pretty quickly but no word whatsoever about 32k (and my current prompts + context already reach 8-9k tokens)

GPT-4 32k access is being rolled out widely now: https://news.ycombinator.com/item?id=35841460

Btw, a line of code is around 7-8 tokens. So you can fit over 4,000 LoC in the context window.

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