People keep asking me the same question: should you even study computer science in 2026 if AI is going to write all the code? My answer hasn’t changed—computer science isn’t going anywhere. What’s changing fast is the day-to-day job of a software engineer. I break down a shift I loved from Deepak Agarwal (Chief AI Officer at LinkedIn): the future belongs to “context engineers.” And honestly, that’s exactly how I’ve been thinking about this transition too. Historically, tech roles don’t vanish overnight—they move up the stack. Data entry didn’t “die”; it evolved into analytics, data engineering, and data science. Software engineering is doing the same thing. We went from writing everything from scratch, to searching Stack Overflow, to now using AI-assisted coding tools (Copilot, Claude, ChatGPT, Cursor, and coding agents) as the default. When the cost of producing code drops, the value shifts: less time on syntax, more time on system behavior, constraints, and reliability. The key takeaway: this shift requires stronger CS fundamentals, not weaker ones. If you can’t reason about architecture, you can’t evaluate an agent’s decisions or design the right constraints. The engineers of the future won’t just write code—they’ll design intelligent systems that collaborate with AI.