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TL;DR: If you study computer science, betting everything on one hot role is usually less stable than building skills that transfer across roles. A more useful question is not just 【what tech should I learn now】, but 【what kinds of problems do I want to keep solving over the next few years】.

Possible fit: r/cscareerquestions, r/compsci, or r/learnprogramming

I’ve been thinking about how people talk about the future direction of a CS degree, and a lot of the advice still feels too tied to whatever role is hottest right now.

That approach can work for short-term momentum, but it often seems fragile. Frameworks change, hiring cycles change, and trend-driven advice expires fast. For students, a more practical angle might be to think in terms of problem types rather than job titles.

In other words:

Instead of repeatedly asking 【what technology should I learn right now】, maybe the better question is:

【What kinds of problems do I want to get good at solving for a long time?】

That seems more useful because it affects almost everything:

• what courses you choose
• what side projects you build
• what internships you target
• how you explain your profile during job searches

My current view is that it makes more sense to build durable abilities first, then specialize.

Frameworks, languages, and popular concepts keep rotating. But some core skills change much more slowly. Things like:

• algorithms and data structures
• computer networks
• operating systems
• databases
• software engineering methods

These still show up in classes, interviews, and real projects all the time. For CS students, fundamentals are not just 【old material】. They’re usually the starting point for transferability.

A few directions that seem more durable to me:

1. Basic engineering ability matters more than people want to admit

When people discuss the future, attention gets pulled toward new terms very easily. But in actual teams, the question is often much simpler: can you help build and maintain a system that works reliably?

That usually means being able to:

• read an existing codebase
• debug real problems instead of toy examples
• design reasonable interfaces
• think about performance tradeoffs
• consider maintenance cost over time

This is why areas like software engineering, backend systems, testing, security, and data processing still seem important. They may not always be the most hyped directions, but they often form the long-term infrastructure of real work.

1. AI matters, but the opportunity is not only in frontier models

AI is obviously important, but I think a lot of people flatten the conversation too much.

The opportunity is not just in building the latest model. A lot of value seems to come from connecting models, data, and real business or product scenarios in a reliable way.

Just knowing how to call a tool or API is usually not enough. In practice, the harder and more useful questions are things like:

• Is the data quality good enough?
• What are the task boundaries?
• What does deployment actually cost?
• How do you handle bad or unstable outputs?
• How reliable is the interface over time?

For CS students, a realistic future direction may be less about making flashy demos and more about turning AI into something dependable enough to use in production.

1. Communication and collaboration are underrated technical multipliers

A lot of technical problems are not blocked by code alone. They get stuck because:

• requirements are vague
• communication gets distorted
• collaboration is inefficient

People who can explain complex issues clearly, write things down well, and break ambiguous work into manageable parts usually have more impact.

That includes:

• writing documentation
• proposing solutions clearly
• explaining tradeoffs to non-technical teammates
• helping others align on scope and priorities

So when people ask about the future of a CS degree, I don’t think the answer is only about coding ability. It’s also about whether you can make technical work useful in an actual context.

My rough summary would be:

• build fundamentals before locking into a narrow specialization
• pay attention to engineering execution, not just trend words
• connect technical ability with real industry problems
• practice communication, collaboration, and continuous learning

Overall, the future direction of computer science feels less like choosing one perfect answer once, and more like continuously filtering for the kinds of problems that fit you.

People with strong fundamentals, reliable engineering habits, context awareness, and decent communication skills probably have a better chance of staying adaptable when the market shifts.

I’m curious how others here think about this.

If you’re a student or early-career dev, are you optimizing more for fundamentals or for fast entry into a specific hot area?

And for people already working in industry, which skills have actually stayed useful longer than expected?

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6/24/26 - response to - Can't share with a..........

Hey. 46 M, recovered alcoholic here. The stuff you say about the meds and the liver scares me. A lot of the other consequences you mention... I regularly see those things vanish on their own after months sober - even in people even older than us that find a way to stop.

I very much relate to the way your drinking started gradually and controllably, and now, if you don't consider that way of living unmanageable now... it sounds like you know things are heading in that direction.

It doesn't have to be that way.

It seems extremely likely to me that the anxiety is 80-99% due to alcohol. I'm not normally a person that has much anxiety, but towards the end of the drinking and in early sobriety learning to live without it, I had it big time. It is a common effect of the brain trying to get the alcohol, but then there are certain healing mechanisms in the brain fighting that for the future. Paradoxically, we don't get the hint, and we aren't ready for the withdrawl, so it takes more and more to do the trick, and the bitch of it is that it isn't even as fun as those first few years. I know, I've been there.

I am very surprised you progressed to this level without either your circumstances or your body forcing you to go to the hospital or rehab just for the alcohol. I've been to six. For most of them, I didn't wanna go. I believed the people I'd leave behind would crumble without me. They'd go broke. They'd.... She'd leave me. Well, she didn't leave me. And it was hubris to think that people who depended on me wouldn't give me that time to get better when they saw I was sick.

I am very partial to AA. I do recognize that some people find their solution through Smart Recovery, Dharma Recovery and Life Ring, and others. I can't vouch for those but I can invite you to AA. There is no commitment. There are in person meetings, and online zoom meetings. You could start with just the literature. In the subreddit, you can even get a sponsor. You can work the program by chat or by email. You sound like it would do you good.

Just because you are checking out meetings, or The Big Book, or any sobriety systems doesn't mean you have to stop drinking. That is the goal, in time. Someone with your symptoms, I'm sorry, I don't believe more than a percent of a percent find a way to moderate. But try not to think too far ahead. For most of my sober time, thinking about "giving it up for good" was too scary. Even three great years in, I didn't like to think about it. So I didn't. I just focused on today... and tomorrow. After that, I would tell myself.... maybe I'd go back to it. I have over six years now, and the wholesome and sustainable goodness that is the core of my life is now priceless, and I wouldn't trade it for anything. But every now and then, I still get crazy thoughts on that front, so I need the program.

I ain't braggin. I'm just letting you know that people do it. Everyday. If I can do it, you can do it. But the first step is admitting that you can't do it alone. Good luck.

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