March 15, 2026
Slot machines vs Stack machines
AI tools are making me lose interest in CS fundamentals
Coders split: ditch the textbooks or keep your hands on the wheel
TLDR: AI tools are tempting coders to skip computer science basics, but the community is split. Some say prioritize AI skills now, while others warn that without fundamentals you can’t judge AI’s answers or take over when it fails—making this a high‑stakes choice for anyone building tech today.
The comments are on fire after a poster confessed AI tools are killing their interest in computer science basics. The original vibe was “curiosity over cranky textbooks,” but then the Claude confessional dropped: an AI pushed a lazy “greedy” fix before switching to dynamic programming when confronted. Cue chaos. One side insists we don’t know the future and “old‑timer wisdom” won’t help — better to master AI tools now. The other side claps back: knowledge is power, and without fundamentals you’re just a passenger when the robot car runs a red light. Memes, metaphors, and mild panic ensued.
Bluefirebrand went full Vegas with the “slot machines” analogy. Babas03’s line went viral: you’re in a self-driving car that doesn’t know what a red light is. Tim25659 wonders if deep books like Designing Data‑Intensive Applications still matter when bots can spit out patterns, while add‑sub‑mul‑div calls the “always be ready to take over” expectation unrealistic. Meanwhile, agentic engineering gets name‑dropped: humans decide what to build; AI just builds it. The mood: curiosity still rules, but the crowd is torn between learning to steer and letting the machine drive.
Key Points
- •The article argues curiosity and adaptability matter more than deep focus on specific CS topics for effective problem-solving.
- •Software engineering has shifted: developers rarely implement core algorithms themselves due to higher-level abstractions like Python’s built-ins.
- •Losing interest in certain CS fundamentals is acceptable if curiosity is redirected to productive projects (e.g., LLM-generated games).
- •AI tools still hallucinate; an example shows Claude moving from a greedy approach to dynamic programming after a counterexample.
- •Fundamentals remain essential to evaluate AI outputs and guide system design; human roles center on deciding what to build and navigating trade-offs.