I think a big part of this discussion lost for a lot is a lot of people are trying to copy/paste how we’ve been developing software over the past twenty years into this new world which simply doesn’t work effectively. The differences are subtle but those of us who are fully bought in (like myself) are working and thinking in a new way to develop effectively with LLMs. Is it perfect? Of course not - but is it dramatic…
What are such new ways? You’re being very vague about them.
Breaking the spell of vibe coding
71–80 of 375 posts
Re: Breaking the spell of vibe coding
#72I think it all boils down to, which is higher risk, using AI too much, or using AI too little? Right now I see the former as being hugely risky. Hallucinated bugs, coaxed into dead-end architectures, security concerns, not being familiar with the code when a bug shows up in production, less sense of ownership, less hands-on learning, etc. This is true both at the personal level and at the business level. (And astound…
It's very interesting to me how many people presume that if you don't learn how to vibecode now you'll never ever be able to catch up. If the models are constantly getting better, won't these tools be easier to use a year from now? Will model improvements not obviate all the byzantine prompting strategies we have to use today?
Re: Breaking the spell of vibe coding
#73i used to lose hours each day to typos, linting issues, bracket-instead-of-curly-bracket, 'was it the first parameter or the second parameter', looking up accumulator/anonymous function callback syntax AGAIN... idk what ya'll are doing with AI, and i dont really care. i can finally - fiiinally - stay focused on the problem im trying to solve for more than 5 minutes.
idk what you’re doing but proper IDE was doing that for me for past 15 years or more. Like I don’t remember syntax or linting or typos being a problem since I was in high school doing Turbo Pascal or Visual Basic.
Re: Breaking the spell of vibe coding
#74I think it all boils down to, which is higher risk, using AI too much, or using AI too little? Right now I see the former as being hugely risky. Hallucinated bugs, coaxed into dead-end architectures, security concerns, not being familiar with the code when a bug shows up in production, less sense of ownership, less hands-on learning, etc. This is true both at the personal level and at the business level. (And astound…
It's very interesting to me how many people presume that if you don't learn how to vibecode now you'll never ever be able to catch up. If the models are constantly getting better, won't these tools be easier to use a year from now? Will model improvements not obviate all the byzantine prompting strategies we have to use today?
Re: Breaking the spell of vibe coding
#75Earlier quoted context omitted.
Very reasonable take. The fact that this is being downvoted really shows how poor HN's collective critical thinking has become. Silicon Valley is cannibalizing itself and it's pretty funny to watch from the outside with a clear head.
I think it's like the California gold rush. Anybody and their brother can go out and dig, but the real money is in selling the shovels.
The real profits are the companies selling them chips, fiber, and power.
Re: Breaking the spell of vibe coding
#76Earlier quoted context omitted.
Even if you believe that many are too far on one side now, you have to account for the fact that AI will get better rapidly. If you're not using it now you may end up lacking preparation when it becomes more valuable
But as it gets better, it'll also get easier, be built into existing products you already use, etc. So I wouldn't worry too much about that aspect. If you enjoy tinkering, or really want to dive deep into fundamentals, that's one thing, but I wouldn't worry too much about "learning to use some tool", as fast as things are changing.
Re: Breaking the spell of vibe coding
#77Re: Breaking the spell of vibe coding
#78That AI would be writing 90% of the code at Anthropic was not a "failed prediction". If we take Anthropic's word for it, now their agents are writing 100% of the code: https://fortune.com/2026/01/29/100-percent-of-code-at-anthro... Of course you can choose to believe that this is a lie and that Anthropic is hyping their own models, but it's impossible to deny the enormous revenue that the company is generating via th…
Re: Breaking the spell of vibe coding
#79Not sure why we'd want a tool that generates so much of this for us.
Re: Breaking the spell of vibe coding
#80I think it all boils down to, which is higher risk, using AI too much, or using AI too little? Right now I see the former as being hugely risky. Hallucinated bugs, coaxed into dead-end architectures, security concerns, not being familiar with the code when a bug shows up in production, less sense of ownership, less hands-on learning, etc. This is true both at the personal level and at the business level. (And astound…
> I think it all boils down to, which is higher risk, using AI too much, or using AI too little? This framing is exactly how lots of people in the industry are thinking about AI right now, but I think it's wrong. The way to adopt new science, new technology, new anything really, has always been that you validate it for small use cases, then expand usage from there. Test on mice, test in clinical trials, then go to ma…
My theory is that executives must be so focused on the future that they develop a (hopefully) rational FOMO. After all, missing some industry shaking phenomenon could mean death. If that FOMO is justified then they've saved the company. If it's not, then maybe the budget suffers but the company survives. Unless of course they bet too hard on a fad, and the company may go down in flames or be eclipsed by competitors.
Ideally there is a healthy tension between future looking bets and on-the-ground performance of new tools, techniques, etc.