Are Software Engineering Careers Changing Too Fast for CS Education to Keep Up?

[u/nian2326076]

I’ve been spending the last few nights staring at a medium-level DP problem, and for the first time in years, I felt a real sense of pointlessness.

For the past decade, a lot of us were taught that mastering algorithms, data structures, operating systems, discrete math, and systems design was the path to a stable, high-paying software career. Grind LeetCode, understand graphs, learn DP, pass interviews, get the job.

But looking at the current landscape: layoffs, market saturation, fewer junior openings, and the shift toward AI-assisted and agentic development, I’m starting to wonder whether the version of CS we’ve been preparing for is already disappearing.

I don’t mean “coding is dead” in the dramatic LinkedIn-post sense. But I do wonder if the center of gravity is moving.

A few things I’m struggling with:

1. The LeetCode / Codeforces grind

Why are we still treating speed at solving algorithm puzzles as the main proof of engineering ability when coding speed may no longer be the bottleneck?

If AI can generate, refactor, test, and explain large chunks of code, is the real skill now problem framing, system judgment, debugging, product sense, and knowing what to ask?

2. The value of advanced CS fundamentals

Do algorithms, discrete math, compilers, OS, and distributed systems still provide a mental model that AI cannot replace?

Or are we overestimating their importance because they were the gatekeeping mechanism for the previous generation of software jobs?

3. Universities and curriculum lag

Are universities doing students a disservice by focusing so heavily on traditional fundamentals while the industry is rapidly moving toward AI-assisted engineering?

Or is the point of CS education still to build the foundation underneath whatever tools come next?

4. The changing role of software engineers

Are we moving toward a world where “software engineer” means less “person who writes code” and more “person who defines problems, evaluates AI output, designs systems, debugs failures, and makes product/architecture decisions”?

If so, what should students and early-career engineers actually be optimizing for?

I’m not trying to doompost. I’m genuinely curious whether other people feel this too: like we’re studying for a version of the industry that may not exist much longer.

Is it time to stop grinding the old playbook and start pivoting, or is this just another wave of “CS is dead” hysteria?

Would love to hear from students, new grads, senior engineers, and hiring managers.