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AI makes the easy part easier and the hard part harder

blundergoat.com

31–40 of 382 posts

Re: AI makes the easy part easier and the hard part harder

#31
post #9

I vibe coded a retro emulator and assembler with tests. Prompts were minimal and I got really great results (Gemini 3). I tried vibe coding the tricky proprietary part of an app I worked on a few years ago; highly technical domain (yes vague don’t care to dox myself). Lots of prompting and didn’t get close. There are literally thousands of retro emulators on github. What I was trying to do had zero examples on GitHub…

I tried to vibe code a technical not so popular niche and failed. Then I broke down the problem as much as I could and presented the problem in clearer terms and Gemini provided working code in just a few attempts. I know this is an anecdote, but try to break down the problem you have in simpler terms and it may work. Niche industry specific frameworks are a little difficult to work with in vibe code mode. But if you put in a little effort, AI seems to be faster than writing code all on your own.

Re: AI makes the easy part easier and the hard part harder

#32
post #5

[flagged]

I'm similarly bemused by those who don't understand where the anti-AI sentiment could come from, and "they must be doing it wrong" should usually be a bit of a "code smell". (Not to mention that I don't believe this post addresses any of the concrete concerns the article calls out, and makes it sound like much more of a strawman than it was to my reading.)

To preempt that on my end, and emphasize I'm not saying "it's useless" so much as "I think there's some truth to what the OP says", as I'm typing this I'm finishing up a 90% LLM coded tool to automate a regular process I have to do for work, and it's been a very successful experience.

From my perspective, a tool (LLMs) has more impact than how you yourself directly use it. We talk a lot about pits of success and pits of failure from a code and product architecture standpoint, and right now, as you acknowledge yourself in the last sentence, there's a big footgun waiting for any dev who turns their head off too hard. In my mind, _this is the hard part_ of engineering; keeping a codebase structured, guardrailed, well constrained, even with many contributors over a long period of time. I do think LLMs make this harder, since they make writing code "cheaper" but not necessarily "safer", which flies in the face of mantras such as "the best line of code is the one you don't need to write." (I do feel the article brushes against this where it nods to trust, growth, and ownership) This is not a hypothetical as well, but something I've already seen in practice in a professional context, and I don't think we've figured out silver bullets for yet.

While I could also gesture at some patterns I've seen where there's a level of semantic complexity these models simply can't handle at the moment, and no matter how well architected you make a codebase after N million lines you WILL be above that threshold, even that is less of a concern in my mind than the former pattern. (And again the article touches on this re: vibe coding having a ceiling, but I think if anything they weaken their argument by limiting it to vibe coding.)

To take a bit of a tangent with this comment though: I have come to agree with a post I saw a few months back, that at this point LLMs have become this cycle's tech-religious-war, and it's very hard to have evenhanded debate in that context, and as a sister post calls out, I also suspect this is where some of the distaste comes from as well.

Re: AI makes the easy part easier and the hard part harder

#33

I think AI is just a massive force multiplier. If your codebase has bad foundation and going in the wrong direction with lots of hacks, it will just write code which mirrors the existing style... And you get exactly was OP is suggesting. If however, your code foundations are good and highly consistent and never allow hacks, then the AI will maintain that clean style and it becomes shockingly good; in this case, the p…

And what if the foundation was made by the AI itself? What’s the excuse then?

Re: AI makes the easy part easier and the hard part harder

#34
post #5

[flagged]

I've seen some discussions and I'd say there's lots of people who are really against the hyped expectations from the AI marketing materials, not necessarily against the AI itself. Things that people are against that would seem to be against AI, but are not directly against AI itself: - Being forced to use AI at work - Being told you need to be 2x, 5x or 10x more efficient now - Seeing your coworkers fired - Seeing hi…

The most credible argument against AI is really the expense involved in querying frontier models. If you want to strengthen the case for AI-assisted coding, try to come up with ways of doing that effectively with a cheap "mini"-class model, or even something that runs locally. "You can spend $20k in tokens and have AI write a full C compiler in a week!" is not a very sensible argument for anything.

Re: AI makes the easy part easier and the hard part harder

#35

I think AI is just a massive force multiplier. If your codebase has bad foundation and going in the wrong direction with lots of hacks, it will just write code which mirrors the existing style... And you get exactly was OP is suggesting. If however, your code foundations are good and highly consistent and never allow hacks, then the AI will maintain that clean style and it becomes shockingly good; in this case, the p…

This is what I’ve discovered as well. I’ve been working on refactoring a massive hunk of really poor quality contractor code, and Codex originally made poor and very local fixes/changes.

After rearchitecting the foundations (dumping bootstrap, building easy-to-use form fields, fixing hardcoded role references 1,2,3…, consolidating typescript types, etc.) it makes much better choices without needing specific guidance.

Codex/Claude Code won’t solve all your problems though. You really need to take some time to understand the codebase and fixing the core abstractions before you set it loose. Otherwise, it just stacks garbage on garbage and gets stuck patching and won’t actually fix the core issues unless instructed.

Re: AI makes the easy part easier and the hard part harder

#36

I think AI is just a massive force multiplier. If your codebase has bad foundation and going in the wrong direction with lots of hacks, it will just write code which mirrors the existing style... And you get exactly was OP is suggesting. If however, your code foundations are good and highly consistent and never allow hacks, then the AI will maintain that clean style and it becomes shockingly good; in this case, the p…

The wrinkle is that the AI doesn't have a truly global view, and so it slowly degrades even good structure, especially if run without human feedback and review. But you're right that good structure really helps.

Re: AI makes the easy part easier and the hard part harder

#37
post #33

I think AI is just a massive force multiplier. If your codebase has bad foundation and going in the wrong direction with lots of hacks, it will just write code which mirrors the existing style... And you get exactly was OP is suggesting. If however, your code foundations are good and highly consistent and never allow hacks, then the AI will maintain that clean style and it becomes shockingly good; in this case, the p…

And what if the foundation was made by the AI itself? What’s the excuse then?

Your responsibility as a developer in this new world is design and validation.

A poor foundation is a design problem. Throw it away and start again.

Re: AI makes the easy part easier and the hard part harder

#38
The pattern matching and absence or real thinking is still strong.

Tried to move some excel generation logic from epplus to closedxml library.

ClosedXml has basically the same API so the conversion was successful. Not a one-shot but relatively easy with a few manual edits.

But closedxml has no batch operations (like apply style to the entire column): the api is there but internal implementation is on cell after cell basis. So if you have 10k rows and 50 columns every style update is a slow operaton.

Naturally, told all about this to codex 5.3 max thinking level. The fucker still succumbed to range updates here and there.

Told it explicitly to make a style cache and reuse styles on cells on same y axis.

5-6 attempts — fucker still tried ranges here and there. Because that is what is usually done.

Not here yet. Maybe in a year. Maybe never.

Re: AI makes the easy part easier and the hard part harder

#39
post #18

I think it makes the annoying part less annoying? Also re: "I spent longer arguing with the agent and recovering the file than I would have spent writing the test myself." In my humble experience arguing with an LLM is a waste of time, and no-one should be spending time recovering files. Just do small changes one at a time, commit when you get something working, and discard your changes and try again if it doesn't. I…

But he started it …

Re: AI makes the easy part easier and the hard part harder

#40
post #5

[flagged]

HN has a huge anti AI crowd that is just as vocal and active as its pro AI crowd. My guess that this is true of the industry today and won’t be true of the industry 5 years from now: one of the crowds will have won the argument and the other will be out of the tech industry. Vibe coding and slop strawmen are still strawmen. The quality of the debate is obviously a problem

I don’t understand why people are so resistant to the idea that use cases actually matter here. If someone says “you’re an idiot because you aren’t writing good, structured prompts,” or “you’re too big of an idiot to realize that your AI-generated code sucks” before knowing anything about what the other person was trying to do, they’re either speaking entirely from an ideological bias, or don’t realize that other people’s coding jobs might look a whole lot more different than theirs do.
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