It has become impossible to tell managers mesmerised by artificial intelligence that the tools are not, in fact, helpful. So employees just play along with the fiction to keep their jobs, writes our tech columnist
I’m a software developer since the 90s, basically before the internet, we had some C books for reference and that’s it. I can tell you that I started last year to use copilot in vscode and some chatgpt on a web page, and it basically changed my world, and all my 50+ years old coworkers are amazed by what it can do really.
You are right it will not fade at all in software development.
Completely disagree. The difficult part of software development was never writing code OR speed of delivery. It was understanding requirements and problem solving. LLMs still can not do either of those things and there is no evidence they ever will be able to.
An example of how harmful LLMs actually are to development can succinctly be described with an issue I had a few weeks ago. I found an issue in an open source project, code was fine if a bit hard to understand. I came up with a PR to fix the problem.
In the time from me checking out the code to submitting the PR, a little less than 24 hours, the maintainer had completely rewritten the entire project with Claude. It was complete nonsense. Incredibly difficult to understand. Abstracting things that didn’t need abstracting. My PR was useless, because the entire project was new. The maintainer definitely didn’t understand the changes either. If a bug came up there’s no way AI would be able to solve it (the bug was still there even though the code was entirely new).
LLMs don’t understand the code. They just make things that look like they will work. And then a human has to maintain it (or keep paying billions of dollars for Claude to try to fix it).
the person in your scenario is just fkin stupid. When people say that llms are helpful for coding, they aren’t talking about telling an llm to rewrite an entire codebase.
You are right, but right now we are living in a very messy reality where it’s hard to know who’s being stupid and who is using it well. One person I know that, well, I was never a huge fan of his work but at least it was somewhat serviceable is now all-in on AI and his code has been rewritten in a similar manner as the parent poster comments. He’s got no idea how it works or how it should worked, the AI decided to rewrite it in an entirely different language, and it’s a buggy mess and it never fixes the bugs without making new bugs. Then he hit his token quota 3 weeks early and basically said he was going to stop working on it because he no longer could manually work the codebase. He didn’t ask for a rewrite, but AI advised him that his language choice was a poor fit and reworked things in another language, one that none of us use to that level of seriousness. It also made it largely based on super convoluted regular expressions.
The problem is that the leadership is singing the praises of these people, they were on their ‘leaderboards’ of AI adoption and much like the craze of praising “lines of codes”, we are neck deep in the most stupid non-technical evaluation of technical work you could imagine.
In other words, you’re arguing that their usage without discernment is detrimental.
Cory agrees on this very same article, and it also includes the same nuance this chain is trying to give voice to:
The other question Suresh implicitly raises is: “How can you reconcile the failure of AI in the enterprise with the individual claims of skilled technologists who insist that AI is helping them do great work?” The answer is that these AI users are “centaurs” – experienced workers who are assisted by automation on terms that they set for themselves.
Thanks to their skill and experience, these workers possess discernment, the ability to tell good code from bad, and (more importantly) good uses of code-generation tools from bad. They demonstrate the adage that worker-driven automation improves quality, while capital-driven automation improves throughput.
We wouldn’t be having this conversation if LLMs had been given the chance to grow into being the same way the web did. Whereas we would be having this same conversation with the letters swapped if corporations were the ones to spawn the WWW instead of the way it came about.
I’m my experience people give tech demos, everyone is impressed, my coworkers say it makes them multiples faster, then I have more work making sure the wheels don’t fall off.
I’m a software developer since the 90s, basically before the internet, we had some C books for reference and that’s it. I can tell you that I started last year to use copilot in vscode and some chatgpt on a web page, and it basically changed my world, and all my 50+ years old coworkers are amazed by what it can do really.
You are right it will not fade at all in software development.
Yep I’ve got nearly 30 years of professional dev experience and Claude code/copilot/etc are absolutely groundbreaking.
Completely disagree. The difficult part of software development was never writing code OR speed of delivery. It was understanding requirements and problem solving. LLMs still can not do either of those things and there is no evidence they ever will be able to.
An example of how harmful LLMs actually are to development can succinctly be described with an issue I had a few weeks ago. I found an issue in an open source project, code was fine if a bit hard to understand. I came up with a PR to fix the problem.
In the time from me checking out the code to submitting the PR, a little less than 24 hours, the maintainer had completely rewritten the entire project with Claude. It was complete nonsense. Incredibly difficult to understand. Abstracting things that didn’t need abstracting. My PR was useless, because the entire project was new. The maintainer definitely didn’t understand the changes either. If a bug came up there’s no way AI would be able to solve it (the bug was still there even though the code was entirely new).
LLMs don’t understand the code. They just make things that look like they will work. And then a human has to maintain it (or keep paying billions of dollars for Claude to try to fix it).
Dumb people use their tools incorrectly. That’s all you’re describing.
the person in your scenario is just fkin stupid. When people say that llms are helpful for coding, they aren’t talking about telling an llm to rewrite an entire codebase.
You are right, but right now we are living in a very messy reality where it’s hard to know who’s being stupid and who is using it well. One person I know that, well, I was never a huge fan of his work but at least it was somewhat serviceable is now all-in on AI and his code has been rewritten in a similar manner as the parent poster comments. He’s got no idea how it works or how it should worked, the AI decided to rewrite it in an entirely different language, and it’s a buggy mess and it never fixes the bugs without making new bugs. Then he hit his token quota 3 weeks early and basically said he was going to stop working on it because he no longer could manually work the codebase. He didn’t ask for a rewrite, but AI advised him that his language choice was a poor fit and reworked things in another language, one that none of us use to that level of seriousness. It also made it largely based on super convoluted regular expressions.
The problem is that the leadership is singing the praises of these people, they were on their ‘leaderboards’ of AI adoption and much like the craze of praising “lines of codes”, we are neck deep in the most stupid non-technical evaluation of technical work you could imagine.
In other words, you’re arguing that their usage without discernment is detrimental.
Cory agrees on this very same article, and it also includes the same nuance this chain is trying to give voice to:
We wouldn’t be having this conversation if LLMs had been given the chance to grow into being the same way the web did. Whereas we would be having this same conversation with the letters swapped if corporations were the ones to spawn the WWW instead of the way it came about.
The reason is the same. There is only one war.
I’m my experience people give tech demos, everyone is impressed, my coworkers say it makes them multiples faster, then I have more work making sure the wheels don’t fall off.