Earlier quoted context omitted.
I’m finding that the code LLMs produce is just average. Not great, not terrible. Which makes sense, the model is basically a complex representation of the average of its training data right? If I want what I consider ‘good code’ I have to steer it. So I wouldn’t use LLMs to produce significant chunks of code for something I care about. And publishing vibe coded projects under my own GitHub user feels like it devalues…
We've gone from "it's glorified auto-complete" to "the quality of working, end-to-end features, is average", in just ~2 years. I think it goes without saying that they will be writing "good code" in short time. I also wonder how much of this "I don't trust them yet" viewpoint is coming from people who are using agents the least. Is it rare that AI one-shots code that I would be willing to raise as a PR with my name o…
Think about it from a resource (calorie) expenditure stand point.
Are you expending more resources on writing the prompts vs just doing without it? Thats the real question.
If you are expending more, which is what Simon is indicating at - are you really better off? Id argue not, given that this cant be sustained for hours on end. Yet the expectation from management might be that you should be able to sustain this for 8 hours.
So again, are you better off? Not in the slightest.
Many things in life are counter-intuitive and not so simple.
P.s. youre not getting paid more for increasing productivity if you are still expected to work 8 hrs a day... lmao. Thankfully im not a SWE.