Reliance on AI-generated code leads to limitations and inefficiencies in software development

Signals over time

4 observed signals across 1 sources, tracked for 1 days. Confidence: low.

What people are saying Observed

• “My say about this 1. I think most of us know the same thing is occurred when first compile came into the market (Most of them hated it saying 'High Quality ASM code would be only generated by humans' . Moving forward asm hasn't dead but we are only using it only at critically. I think we will do same with LLMs we use what useful and Move forward. 2. Life's isn't just always staying in front of a box and writing some code. If AI does the job of creating useful code with quality i would be more than happy since i could get start to work on more abstract things like Arts and Humanity. which for our growth is essential as you can see the current society is currently disdain. Finally to conclude don't try to interrupt the flow just accept it and move forward. Life is SHORT”

  Hacker News · wishlist

• “My experience is that SRE-esque work you experience the full range of model, from "wow, it would take us ages to even get to this theory for why something failed" to "well the priority field in this protocol goes from lowest=most important, but LLM wrote code as if it was highest=most important, so if someone actually pushed it to production the company wouldn't have working internet access any more". And a lot of "wishing up a feature", I was using it to explore solutions for a given problem in too I didn't knew 100% and it pretty much came to same solution I wanted to do but... the capabilities were not there in the tool so it just started making up probable config clauses, and of course, it didn't work. Even on simpler stuff there were traps, for example in middle of debug session I asked it to modify Gitlab config to add request duration logging, so it added correct config format to a flag that didn't exist (option was there, just under different name), because it didn't bother to read the docs (since then I generally link it the docs first so it doesn't try to remember and get it wrong). All of that is both very dange”

  Hacker News · frustration

• “Yes and….no. I have seen this play out at a large corp to spectacularly awful results. Talking 60k line react nextjs apps where every use effect has a linter silenced because the ai gave up on writing correct react code. I have seen millions wasted because someone trusted an ai scripts calculation of a metric from the bottom of the org that led the top of the org to make a wrong decision only to laugh about ai. There is value but ffs read the god damn code. You can have the cake and eat it too. If the volume of code is so large you cannot read it, maybe it isnt worth shipping? Or are you one of the ones pushing the real code reading on to others which seems to be common. Yes i can have agents vibe out 10 features and have my coworkers suffer fixing it in reviews. What IS useful are the AI reviews. They catch bugs, not all are bugs but they do catch some. It is almost like they are better at finding logical issues across millions of tokens but not good at writing streamlined logic. The number of times ai gives me a 800 line dif only to replace it with a 5 line dif after i read it and notice it grossly overcomplicated the ask and scoped in a bunch of nonsense from training data.”

  Hacker News · frustration

• “As someone who makes heavy use of AI tools to write code I also find it surprising. The idea that even the latest models of Claude and Codex are capable of writing sufficiently useful and production usable code is baffling. Unless you are operating at extremely low stakes with few meaningful constraints I don't see how anyone can seriously rely fully on AI generated code. I see the code daily, it certainly can save some time when used properly but there are very hard limits to the amount of concepts that can be affirmatively managed before AI begins to tie itself in knots. The only solution AI is capable of from that point is of course generating more code to sort out any issues. "Hand" writing actual clear, concise and unbloated code is still very much a requirement.”

  Hacker News · complaint