Re:After two years of vibecoding, I'm back to writing by han...
by tbagman on Saturday January 24, 2026 @12:14PM
(#46745386)
>> The most useful, accurate, and honest LLM information I've gathered
>> comes from spaces where neither extreme prevails
Do you have any pointers to good (public) spaces like this? Your take sounds reasonable, and so I'm curious to see that middle-ground expression and discussion.
Re:After two years of vibecoding, I'm back to writing by han...
by bdangubic on Saturday January 24, 2026 @12:19PM
(#46745434)
> The most useful, accurate, and honest LLM information I've gathered comes from spaces where neither extreme prevails. You have to find people who have put in the time and are realistic about what can and cannot be accomplished. That's when you start learning the techniques for using these tools for maximum effect and where to apply them.
This requires the level of professionalism that 97.56% of SWEs do not have
Re:After two years of vibecoding, I'm back to writing by han...
by bambax on Saturday January 24, 2026 @12:24PM
(#46745496)
Agree 100%
Re:After two years of vibecoding, I'm back to writing by han...
by thesz on Saturday January 24, 2026 @02:05PM
(#46746490)
> That's when you start *learning* the techniques for using these tools for maximum effect and where to apply them.
https://paulgraham.com/popular.html?viewfullsite=1"They're perfectly justified: the majority of hot new whatevers do turn out to be a waste of time, and eventually go away. By delaying learning VRML, I avoided having to learn it at all."
Re:After two years of vibecoding, I'm back to writing by han...
by Aurornis on Saturday January 24, 2026 @06:43PM
(#46748963)
If you’re counting on LLMs and coding tools to go the way of VRML, I guarantee you’re going to be disappointed.
Re:After two years of vibecoding, I'm back to writing by han...
by thesz on Sunday January 25, 2026 @02:17AM
(#46751587)
This one was on HN recently: https://spectrum.ieee.org/ai-coding-degrades
The quality of code generated with LLM decreases over time.
Let us talk again after, say, five years.
Different outlets tilt different directions. On HN and some other tech websites it's common to find declarations that LLMs are useless from people who tried the free models on ChatGPT (which isn't the coding model) and jumped to conclusions after the first few issues. On LinkedIn it's common to find influencers who used ChatGPT for a couple things at work and are ready to proclaim it's going to handle everything in the future (including writing the text of their LinkedIn post)
The most useful, accurate, and honest LLM information I've gathered comes from spaces where neither extreme prevails. You have to find people who have put in the time and are realistic about what can and cannot be accomplished. That's when you start learning the techniques for using these tools for maximum effect and where to apply them.