u/cartersparrows26

I've been looking at ways to improve ventilation in my house and somehow ended up 20 tabs deep comparing systems 😅

I'm losing my mind over this. One quote I have is for a ducted positive ventilation setup with 5 outlets. It pulls air from the roof cavity, filters it, then pushes that air into the living spaces.

Whole thing is around $5k supplied and installed.

my biggest hesitation is the roof cavity part.

It's an older house and that space gets dusty as hell. Even with filtration, I'm not totally sold on using roof space air as the source for the entire house.

So I've also been looking at systems that pull directly from outdoors instead. One of the smaller setups I found was cozeware freshflow, basically a window mounted fresh air system for individual rooms rather than a ducted whole home system.

It's pre launch, so no, I haven't used it and I'm not assuming it'll magically solve anything. But seeing the room by room approach made me question whether dropping $5k on the whole house is even necessary.

i just pushed a pretty tricky core feature that used to take me at least a week. AI helped me knock it out in two days. I don't hate AI. The efficiency is great, and not having to wrestle with basic boilerplate is awesome.

it felt great. I was ready to grab a coffee and maybe refactor some old code.

then my manager messaged me.

Instead of a breather, I got a list of extra tasks. He asked if I could write up the markdown docs for the API, configure the edge routing, and throw together a quick dashboard page for the product team 'since it should be super fast now with AI'.

its happening every single sprint now.

And it isn't just coding anymore. The same thing is happening with reports, video editing, even 3D modeling. Once AI can do part of a task, management seems to assume one person can just absorb the whole responsibility.

The thing is, the tools themselves are actually pretty solid. Platforms like v0, Lovable, or Enter Pro are crazy good because they package everything together, making it easier to spin up UI, configure edge functions, and deploy. For non-coders, that is genuinely a huge shift. Tools like Claude Code and Codex are basically magic for the pure coding part.

And the models underneath all of this keep getting better, whether it's closed ones like GPT-5.6 and Fable 5 or open ones like DeepSeek and Kimi K3. The capability boundary keeps expanding every few months.

But the problem isn't the tech. Its how management behaves.

The time we save is never actually given back to us. Instead, the expectation just inflates. A few years ago I was mainly responsible for writing and maintaining code. Now, because coding is so fast, i am expected to handle requirement breakdowns, UI prototypes, deployment configs, and review all the generated code for security flaws.

Every time we get faster, the baseline of what one developer should handle goes up. It feels like I'm doing the job of a developer, PM, and QA all at once just because the individual tasks take slightly less time on paper.

And honestly, that makes me nervous about where this goes. If one person can cover three or four roles with AI, companies probably won't keep three or four people around. The jobs may shrink, while whoever is left just inherits more responsibility.

I'm just tired. Has AI actually reduced your workload, or has it just changed what management considers a normal amount of work for one developer? And if this eventually means fewer people carrying even more, is that really a win for workers?