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Pretty much, yea

Knowledge in there?

Where is the knowledge stored?

All of my knowledge typically gets stored in plans outside of the agent?

And each agent window gets archived regularly, anyways.


I dream about it everyday.

I love building software, but I can't stand working in the industry.

It's such an unholy combination of bad corporate culture and questionable moral principals.


There was a part of me who dreamed of doing simple entry-level jobs instead of working in tech, so I got a part-time job cleaning hospital ER rooms on the weekends. Everything has been fine for the most part, but it has been made clear to me how easy it is to get fired at entry-level jobs. The pay is really pretty dismal and the stability really isn't there. Overall the experience has made me a lot more inclined to not leave money on the table. If there are things I can do to earn more and make my life more comfortable I just do them now.

> I got a part-time job cleaning hospital ER rooms on the weekends.

> experience has made me a lot more inclined to not leave money on the table.

Sorry for the dark humor, but I'm imagining you meant collecting the pocket change that fell out on the operating table.


None of that is specific to this industry. It’s far worse in others. Grass always looks greener elsewhere

From what I've observed, the big problem with working in tech is that you have all of the responsibility but none of the authority or autonomy. By comparison, in most service sector jobs you have no authority or autonomy but also little responsibility. In other engineering disciplines you have a lot of responsibility but also much more authority and autonomy.

In my experience, unless you are working with items which can kill people (medical, military) there is no responsibility. Developers can deploy any broken build with little consequences.

> the big problem with working in tech is that you have all of the responsibility but none of the authority or autonomy

Very apt description of "Big Tech". That's why I decided to leave as well. This combination just creates a lot of stress and it was negatively impacting my health.


You really put it succinctly and very accurately, I imagine you read this somewhere?

Came here to say exactly this.

If people don't like building tech that's one thing.

But the problems most of this thread are discussing are just people and organizational problems.

If you want to live and make money you're probably going to have to put up with some level of bullshit.

Find the company with the least of it and enjoy the rest.


Yeah my job sucks shit too, I just make 1/3rd as much as MANGO software engineers.

Should’ve learned to program. At least writing python scripts with Claude has automated a lot of my job away.

Anyway, there’s a support group for your shitty job, it’s called the bar, and we meet daily.


This is the kind of attitude that keeps the world the way it is.

That makes no sense. They didnt provide any specific reasons they dont like the tech industry. All of their reasons can be applied to just about any industry lmao. The core issue is and always will be capitalism

When it comes to the shit imposed to the rest of society, and the shit imposed on office workers, it's worse in this industry.

I'd challenge you to point out specifics that are industry wide, not just one company that happens to abuse its employees.

Agile is used to create a perpetual sense of crunch since you are never more than ~2 weeks away from your deadlines.

No it’s not unless you’ve never interacted with people in other industries. It’s just as bad there, unless you have specific reasons for tech

My personal opinion for the reasons for this:

- Less families with kids the same age in suburban neighborhoods

- Less community between neighbors

- More on demand entertainment inside the house

Basically it's more that there is less to do outside and more to do inside. Parents just want their kids to busy themselves, and inside is easier than outside now.


C# is such an underrated language.

A nice balance of language features and legibility.


Man, people in the Bay will find a way to over intellectualize anything.


True, though if you're gonna get bent out of shape about overintellectualizing something, "reading books" is probably gonna be a tough sell.

I don't disagree with your point.

It's interesting to imagine if there's some kind of middle ground where products could be launched without the pretense of them being permanent? I suspect at least some of people's frustration is that X or Y was pitched as something serious, which then grates some when it gets canceled.

But maybe you can't launch a product without pretending it's going to be real because it'll be dead on arrival?


...where products could be launched without the pretense of them being permanent

Yeah, it's what Google used to do by releasing everything as "Beta". Gmail was in Beta for 5 years with millions of users.


Books used to show up at your front door with these regularly...


Yeah, that is funny looking back. Books full of PII.

I always think when I send a work email I am also leaking my pii everywhere.


    It is difficult to get a man to understand something, when his salary depends on his not understanding it.


We're definitely in the mess around phase of AI adoption.

I don't think it's super clear what we'll find out.

We've all built the moat of our careers out of our expertise.

It is also very possible that expertise will be rendered significantly less valuable as the models improve.

Nobody ever cared what the code looked like. They only ever cared if it solved their problem and it was bug free. Maybe everything falls apart, or maybe AI agents ship code that's good enough.

Given the state of the industry were clearly going to find out one way or the other, hah!


> I don't think it's super clear what we'll find out

I think some companies will find out that their senior engineers were providing more value and software stability than they gave them credit for!

Corporate feedback loops are very slow though, partly because management don't like to admit mistakes, and partly because of false success reporting up the chain. I'd not be surprised if it takes 5 years or more before there is any recognition of harm being done by AI, and quiet reversion to practices that worked better.


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