In 2023, AI helped you finish a line of code. In 2026, AI opens the pull request, runs the security scan, and writes the tests — sometimes before you've even opened your laptop. This week, GitHub added Kimi K2.7 Code — the first fully open-weight model — to Copilot's model picker, priced at a fraction of closed models like GPT-5.5. And it's not alone. Coding agents today don't just complete your syntax. They read your entire repository, catch vulnerabilities human reviewers miss, and generate their own tests. I'll be honest — the first time I saw an agent open a PR, review its own diff, and flag a security issue I hadn't thought of, it rattled me a little. If I was learning to code today, would any of this still matter? Here's what I've landed on after building HelloEngineers and watching thousands of students go through this exact anxiety: The agents are good at execution. They are not good at deciding what should be built, why it matters, or whether the tradeoff is worth it. That's still entirely human work. So if you're a student right now, the skill to double down on isn't "can I write this function" — it's "can I read a codebase, spot the wrong abstraction, and know what to ask the AI for." Debugging judgment, system design thinking, and code review instinct are becoming more valuable, not less. AI didn't remove the need to understand engineering. It removed the tolerance for not understanding it. Are you learning to code with AI, or are you letting it code for you? Genuinely curious where you land on this. #ArtificialIntelligence #AIcoding #SoftwareEngineering #EngineeringStudents #FutureOfTech #HelloEngineers #CareerAdvice #Programming