alt Hacker NewsDon't think the 0.2% really are in agreement that "large, complex projects that used to take them weeks/months can now be completed by agents with a prompt".
The divide seems to be between people who think you may need to understand the codebase for maintenance, potential future token costs, optimisation, code erosion & being wary of the assumptions/mistakes that they have seen LLMs make, and people who don't review code and are confident that the AI has made no mistakes and will be available for next-to-nothing forever.
It's certainly allowing the latter to move fast... but will their clients be happy if/when they break things. We'll find out soon, I'm sure.
Replies
I can do a project that took me weeks/months much faster now as long as I don't have to involve other people in the decisions.
I keep hearing about this "when things break" argument, but things broke all the time with humans writing code too, if anything it feels like it's getting patched faster.
Look I loved our field, functional programming, etc. But the field as we knew it is dead, and if you think that your work is anything but providing new tests/edge cases and occasionally providing some guidance, you're in denial.
It's not that we're assuming the AI has made no mistakes. It's that we're confident in the general capability of the models such that we're willing to accept it'll make some mistakes, but working together with it, we'll still achieve our end goals.
I presume you also know your own code has mistakes, too? You wouldn't refuse to even look at the code of a colleague who has ever made a coding mistake, would you?