quantiq

At what point do we just admit, "my codebase has never been healthier" is just AI psychosis in practice?

I mean judging by a lot of comments I read here where people conclude AI code is perfect and there are no downsides and we should never write a single line of code again and it's all over. I think people's brains have atrophied already.

Anyway, I'm still writing the vast majority of code by hand and only getting AI to check my work at the end as an extra reviewer. I still am happily employed and sure am a lot happier with my job than the slop goobers posting here.

The frontier of capability right now is writing most of the code by hand. I'm not joking.

Multiple studies have come out recently that AI use when not used as a tutor leads to loss of learning. It's a great way to ensure you end up jobless in the future when you forget even very basic syntax from no longer having to deal with hard problems. It's why pilots still fly manually by hand even though the autopilot can do practically everything.

Not to call you out specifically but I cannot believe people still use this as an argument in 2026. As if someone writing bad code while at least trying to learn how to write good code, and a prompter prompting a computer to write bad code that leads to the person learning nothing from the exercise are at all analogous.

I can virtually guarantee the bar for code can go so much lower as we rapidly deskill programmers.

Not sure why this didn't get more attention, it's a good article. It's weird that people don't have more awareness that AI causes eventual deskilling which leads to worse engineering judgement.

oh dear.

I'm tired boss.

Not even using their own core engine is genuinely bleak.

> I think they said they will discontinue Air

That doesn't exactly inspire confidence that this product will stick around.

Their AI implementations are an absolute mess.

I know because I've tried practically all of their AI product offerings and not a single one feels coherent.

It still suffers the same problems as Junie, which is that their harness is far too bloated.

Yeah, I'm not even sure what this is, or whether or not this is even intended to be a serious project. It just comes across to me as deeply unprofessional. I say this as someone who doesn't even like Vercel and has their own gripes with that bizarrely run company.

The docs say that none of the code has been reviewed or tested properly, so how serious is this for people to run in a production setup where many companies are going are not going to be super enthused that their production environment has been 'vibecoded' in a week? It just reads to me like a not-so-subtle middle finger to the Vercel guys.

On a side note, I find it extremely weird that the current AI era of software development is turning the state of the entire field into a reenactment of Lord of the Flies. Bizarre behavior all around from people who should know better.

We hired some LLM cowboy developer externals that were pushing out a plethora of PRs daily and a large portion of our team's time at one point was dedicated entirely to just doing PR reviews. Eventually we let them go, and the last few months for us has been dedicated to cleaning up vast quantities of unmaintainable LLM code that's entered our codebase.

I think it's still early days, and it's probably the case that a lot of software development teams have yet to realize that a team basically just doing PR reviews is a strong indication that a codebase is very quickly trending away from maintainability. Our team is still heavily using LLMs and coding agents, but our PR backlog recently has been very manageable.

I suspect we'll start seeing a lot of teams realize they're inundated with tech debt as soon as it becomes difficult for even LLMs to maintain their codebases. The "go fast and spit out as much code as humanly possible" trend that I think has infected software development will eventually come back to bite quite a few companies.

> The only bottleneck is mdoel (sic) speed and quality. But with billions of dollars pouring into generative AI every year, we will see instant voice-to-code capabilities + bug-free quality in 2-5 years.

Anytime I think the AI bubble can't go any higher I'm reminded of the fact there are people who genuinely believe this. These are the people boardrooms are listening to despite the evidence for actual developer productivity savings being dubious at best: https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o...

Yeah, I'm not putting stock in this at all. The methodology of this survey seems dubious.

This has to be someone working solely on personal projects right? Because I don't know anyone who actually works like this and frequently the code that AI will spit out is actually quite bad.

>The Orchard is a two story affordable housing complex in Santa Ana, California. It serves the area's chronically homeless residents

I think the reason for all of this is actually fairly boring. Someone with a history of mental illness and/or schizophrenia filing fraudulent documents and writing nonsense chatGPT code assuming it is some kind of AGI-singularity-oracle. It wouldn't be the first time I've seen someone with a history of mental illness assume these systems are more capable than what they actually are in reality.

Django is such a lovely framework I can't speak higher praises of it. I'm blessed to still be able to use it in my day to day work. It's maybe not the most flashy framework out there these days but Django and Rails are really the Toyota Corollas and Honda Civics of the web dev world that often go so underappreciated for their unfussy reliability. :)

> They're good at SO MUCH OTHER STUFF. The challenge is figuring out what that other stuff is.

I’m getting Déjà vu

The housing crisis has cemented in people’s minds that living in Vancouver or the GTA is essentially an impossible feat because everything is zoned for cars and single-family housing.

I suppose if your POV is very narrow and limited, then yes it is impossible. But giving up easily when things become difficult is a Canadian cultural staple, so rural dying towns for everyone it is.

>I'm a little tired of the arguments that the large language models are just regurgitating memorized output

The arguments are valid and you haven’t provided a single counterpoint. Data leakage is a well known problem in machine learning and OpenAI has seemingly done very little to mitigate against it.

I see a lot of parallels here to crypto and NFTs where people start inventing use cases for technologies that fundamentally haven’t demonstrated business value, and pray that one day business value will show up out of nowhere.

Exactly. I used alpine in combination with django for a project and it quickly became a nightmare to maintain when alpine started to take care of app logic / SPA-type reactivity.

Alpine is just not designed with that sort of application in mind, nor should it be.