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Well, to be fair, judging by the shift in the general vibes of the average HN comment over the past 3 years, better use of agents and advanced models DID solve

by stalfie 7mo ago

Well, to be fair, judging by the shift in the general vibes of the average HN comment over the past 3 years, better use of agents and advanced models DID solve the previous temporary setbacks. The techno-optimists were right, and the nay-sayers wrong. Over the course of about 2 years, the general consensus has shifted from "it's a fun curiosity" to "it's just better stackoverflow" to "some people say it's good" to "well it can do some of my job, but not most of it". I think for a lot of people, it has already crossed into "it can do most of my job, but not all of it" territory. So unless we have finally reached the mythical plateau, if you just go by the trend, in about a year most people will be in the "it can do most of my job but not all" territory, and a year or two after that most people will be facing a tool that can do anything they can do. And perhaps if you factor in optimisation strategies like the Karpathy loop, a tool that can do everything but better. Upper managment might be proven right.

dwaltrip 7mo ago
If self-driving is any indication, it may take 10+ years to go from 90% to 95%.
hrmtst93837 7mo ago
[flagged]
- scrollaway 7mo ago
  Your definition of a glorified autocomplete is … oof. So in short, “try ask it to do something you’d hate on bad code you’d yourself fail at and it might fail”. And I’m pretty sure I could try Claude on a repo as you describe and it wouldn’t in fact fail. You’re letting your opinions of what LLMs were like a few months ago influence what you think of them now. Comments like yours really annoy me because they are ridiculously confident about AI being “glorified autocomplete”, but also clearly not informed about the capabilities. I don’t get how some people can be on HN and not actually … try these things, be curious about them, try them on hard problems. I’m a good engineer. I’ve coded for 24 years at this point. Yesterday in 45 minutes I built a feature that would have taken me three months without AI. The speed gains are obscene and because of this, we can build things we would never have even started before. Software is accelerating.

by stalfie 7mo ago

dwaltrip 7mo ago

If self-driving is any indication, it may take 10+ years to go from 90% to 95%.

hrmtst93837 7mo ago

[flagged]

scrollaway 7mo ago
Your definition of a glorified autocomplete is … oof. So in short, “try ask it to do something you’d hate on bad code you’d yourself fail at and it might fail”. And I’m pretty sure I could try Claude on a repo as you describe and it wouldn’t in fact fail. You’re letting your opinions of what LLMs were like a few months ago influence what you think of them now. Comments like yours really annoy me because they are ridiculously confident about AI being “glorified autocomplete”, but also clearly not informed about the capabilities. I don’t get how some people can be on HN and not actually … try these things, be curious about them, try them on hard problems. I’m a good engineer. I’ve coded for 24 years at this point. Yesterday in 45 minutes I built a feature that would have taken me three months without AI. The speed gains are obscene and because of this, we can build things we would never have even started before. Software is accelerating.