Ask "how much did you build then?" -> also 100%.
The compiler and I operate on different layers.
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Ask "how much did you build then?" -> also 100%.
The compiler and I operate on different layers.
I absolutely believe that a large proportion of new code written is at least in-part AI generated, but that doesn't mean a large proportion of new code is 100% soup-to-nuts/pull-request-to-merge the result of decisions made by an agent and not a human. I doubt that very much. I think the difference between situations where AI-driven development works and doesn't is going to be largely down to the quality of the engin…
A large proportion of code written a quarter century ago was also in part AI generated. IntelliSense is AI and it's been around since the 90s.
IJ does some truly stellar introspection to offer sane defaults in the current completion context, such as offering only variables of the correct type for parameters but I think of that as discipline and not AI. Plus, IJ never once made up an API that didn't exist
I think this is the wrong question. The right question is how much human code can a human push now vs prior to AI. Everything we've done in coding has been assisted. Prior to this current generation of web applications, we had the advent of concepts like Object Orientated Programming and prior to that even C was a massive move up from Assembly and punch cards. AI has written a lot of code. AI has written very little…
Oh, please don't turn this site into StackOverflow 2.0.
OP's question is well defined. Any sentient being can understand what s/he meant.
I think this is the wrong question. The right question is how much human code can a human push now vs prior to AI. Everything we've done in coding has been assisted. Prior to this current generation of web applications, we had the advent of concepts like Object Orientated Programming and prior to that even C was a massive move up from Assembly and punch cards. AI has written a lot of code. AI has written very little…
> Software engineers are pushing a magnitude more code and producing more functional utility and solving more bugs than ever before Citation needed
Earlier quoted context omitted.
TFA says "How Anthropic uses AI to write 90-95% of code for some products and the surprising new bottlenecks this creates". for some products. If it were 95% of anything useful, Anthropic would not still have >1000 employees, and the rest of the economy would be collapsing, and governments would be taking some kind of action. Yet none of that appears to be happening. Why?
Been using claude code almost daily for over a month. It is the smartest junior developer I've ever seen; it can spew high-quality advanced code and with the same confidence, spew utter garbage or over-engineered crap; it can confidently tell you a task is done and passing tests, with glaring bugs in it; it can happily introduce security bugs if it's a shurtcut to finish something. And sometimes, will just tell you "…
Earlier quoted context omitted.
From my personal account, I started with PHP and Perl (high school and college) and then graduated to Ruby on Rails (early dev career) and now its Python and JS. I would say Ruby on Rails was a 10x on raw PHP in terms of feature specs per hour and AI is a 10x on Ruby on Rails (and its derivatives). We're probably 100x the developer productivity on a per developer basis from the early days of Web 2.0 with PHP, just a…
> We're probably 100x the developer productivity on a per developer basis from the early days of Web 2.0 with PHP, just a personal anecdote though. Only if you compare create a website in PHP 20 years ago vs using wordpress. But to create a project like wordpress from zero now is as difficult as it was 20 years ago.
This specific point is patently untrue. loveable/v0/etc excel at creating CMSes / UIs for content in hours.
Earlier quoted context omitted.
Software engineering has also been automating its own jobs for ages. The first thing we engineers do when asked to do a repetitive thing is find ways to automate it. I think the industry had qualms about losing their jobs. But honestly what are the examples of people losing their jobs to software ? Everybody says that this has happened many times yet examples are hard to come by.
> But honestly what are the examples of people losing their jobs to software? And furthermore, what is the full causality chain that links the precise PR in provided example software to the employment termination decision? Lacking that, can you really assert the software 'automated' a dev out of the job?
I actually use it from the web app not the cli. So far I've run over 100 codex sessions a great percentage of which I turned in to pull requests.
I kick off codex for 1 or more tasks and then review the code later. So they run in the background while I do other things. Occasionally I need to re-prompt if I don't like the results.
If I like the code I create a PR and test it locally. I would say 90% of my PR's are AI generated (with human in the loop).
Since using codex, I very rarely create hand written PR's.
I think this is the wrong question. The right question is how much human code can a human push now vs prior to AI. Everything we've done in coding has been assisted. Prior to this current generation of web applications, we had the advent of concepts like Object Orientated Programming and prior to that even C was a massive move up from Assembly and punch cards. AI has written a lot of code. AI has written very little…
Why? It is a perfectly legitimate question where the answer is some sort of a percentage.