AI coding is a nightmare. Am I the only one experiencing this?
21–30 of 62 posts
Re: AI coding is a nightmare. Am I the only one experiencing this?
#22i use the skills /yaw-review excessively sometimes multiple times in a row on the same pr or session. followed by most often /yaw-address-all and then /yaw-coverage to add tests and /yaw-ship-ready to make production ready.
after a few rounds of these they are not needed every time on the same codebase.
if you are desperately wishing programming to go back to the before times it will never. or it will always be there but expect to be incredibly less productive than your peers.
Re: AI coding is a nightmare. Am I the only one experiencing this?
#23Problem 1: "Obsessed with reinventing the wheel" " three duplicate functions":
Suggestion: plan then implement.
Tell LLM to scan your project and crete markdown file plan to solve the task first. DO NOT try to selve tasks in a single shot without planning. Review the plan file then, IN A NEW SESSION with clean context, tell LLM to read the implementation plan file and implement the plan according to the file.
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Problem 2: "hyper-focuses on the current task and couldn't care less if its changes break other parts of the system"
Suggestion: add instructions to AGENTS.md file teaching LLMs how to run unit tests and other kinds of tests so it can make sure nothing broke. And also add to AGENTS.md that LLMs MUST run tests before marking the task done.
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Problem 3: "you'll hit the 200k token limit in no time" "Long context = instant brain damage"
Suggestion: use 1 million context window LLMs. Also plan then implement will keep your context shorter.
If you can, use better LLM services which offer 1million context window. If you can't afford Anthropic or OpenAI, use DeepSeek V4 Flash or MiMo 2.5 for example. A $10/mo OpenCode Go subscription plan offers $60 in LLM credits which is A LOT for these cheap LLMs.
Also, planning phase is when the LLM has to scan the entire project to understand what needs changing. This is where the context bloat comes from. If you split tasks into planning + implementation, the scanning phase is condensed into a single markdown file which keeps context lean.
Bonus tip: Tell LLMs to use subagents when doing exploration.
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Problem 4: The longer the context, the more incoherent its responses.
Suggestion: yeah, LLMs get dumber as their working memory fills up (just like me). If your session reaches 200k+ tokens, it's usually a sign you could have planned the feature better or split it up. It might be worth restarting with more clarification.
Re: AI coding is a nightmare. Am I the only one experiencing this?
#24Did you ask it to delete stuff or consolidate functionality? Did you ask it to reuse certain available implementations? Or do you use it as a black box, letting it do all the design and code, and not caring to steer it, except with some high level request ("build x")?
If it's the latter, if we treat a (non-actually-intelligent, generative) AI as a hands-off developer and remove ourselves from the loop, we get exactly what you mention in the rant.
But nothing forces us to use it like this (except the craze of "vibe coding"). Use it as a carefully monitored and steered coding assistant.
It's slower that way? That slowness is a requirement to ingest the expertise/knowledge/taste of a human developer in the mix. It's what avoids an avalance of slop to be commited and become part of the codebase unchecked.
That's why all the focus on maximazing speed, and removing the humans from the loop, are misguided.
When LLMs are ready to removed humans from the loop, we'll know: we'd be out of a job. As long as we have one, our role is to act as a quality bottlenect, not to open the floodgates.
Re: AI coding is a nightmare. Am I the only one experiencing this?
#25- "It hyper-focuses on the current task and couldn't care less if its changes break other parts of the system." - "Long context = instant brain damage"
This is why I quickly discovered that I had to turn AI into a knowledgable, patient tutor rather than let it code for me. I am thoroughly at the helm for all decisions big and small - I don't let AI touch the code anymore.
Re: AI coding is a nightmare. Am I the only one experiencing this?
#26What model are you running? With what settings?
mostly I am using GLM5, with miniMax-3 to do some easy work.
We have access to anthropic models, openai models and google models.
I run all my sessions on their best models with max thinking, because I don't care to optimise token usage at this stage. We are still learning every day about how to optimise our workflows, but I will say that I don't typically experience what you're describing.
I have very opinionated AGENTS.md files at the repo level, and at various other levels in the repo where more specialised rules are needed but I don't want those in my context unless that specific section of the codebase is going to be used or touched. I make a lot of use of skills. And my sessions are almost all "spec driven" in the sense that I type out an opinionated requirement to the LLM, tell it to challenge my thinking, to push back, to iterate on its own thinking, then to formulate a plan, then once done, go over it again to find any issues. I will then review the plan, or wing it, depending on the task. I then look at the overall code structure and design it has done. I have strong, opinionated coding rules in my AGENTS file. I have strong testing requirements (mostly end-to-end, not unit style).
I get really good results from this. But, I will say we're working in a highly opinionated codebase. We have the fundamentals in place already, where there are rules for how you do everything. The agent follows those rules pretty well. I'm not sure how well it would work on a codebase that is messy with a lot of conflicting design principles.
Re: AI coding is a nightmare. Am I the only one experiencing this?
#27this is where i start (c2l code i translate at https://c2l.puter.site):
define..sq.x[* x x
(define (sq x) (* x x))
ai step:
translate this code to python
Re: AI coding is a nightmare. Am I the only one experiencing this?
#28What model are you running? With what settings?
mostly I am using GLM5, with miniMax-3 to do some easy work.
you can also use within claude code tui by running: typed cli off
i should probably change that to typed tui off/on. anyway.
Re: AI coding is a nightmare. Am I the only one experiencing this?
#29Yes I've experienced everything you stated. Here's what helped me: Problem 1: "Obsessed with reinventing the wheel" " three duplicate functions": Suggestion: plan then implement. Tell LLM to scan your project and crete markdown file plan to solve the task first. DO NOT try to selve tasks in a single shot without planning. Review the plan file then, IN A NEW SESSION with clean context, tell LLM to read the implementat…
Yes, if the model someone is using only has 200k token limit, that would immediately suggest to me that it really isn't a sophisticated enough model.
Most of my coding sessions end up being about 350k tokens long when I finish, it wouldn't even fit in a 200k context. And that isn't counting the cache-reads by subagents, etc.
It's worth spending some time with the best Opus / GPT model, to at least get a sense of what the frontier is like.
Re: AI coding is a nightmare. Am I the only one experiencing this?
#30I don't believe the "you are holding it wrong", "works on my machine", "works on this model" or "do this spec structure" type of arguments to compensate the fundamental issues. The tech simply does not do what is advertised and claimed as it is.