In this video I break down the “best programming language” question the way it actually shows up in real software engineering careers: it depends on the role, the stack, and what you care about (job security, future-proofing, and how deep you want to go). If you’re open-minded and optimizing for long-term value—especially in the age of AI—I talk about why C++ is a dark horse. It’s hard, not beginner-friendly, but it’s fast, memory/energy efficient, and it’s used in serious infrastructure and backend systems (I’ve seen it all over big-company stacks, including Google-style products like search and ads). Then I go role-by-role. For frontend, JavaScript is the foundation, and frameworks like React or Angular dominate (Vue is a common third option). For backend, I recommend Java or C++ for big-company opportunities, with Python also being common at newer companies—and I explain why backend work is often the most critical and hardest depending on how deep you go (services, databases, infra, load balancing). For full stack, you’re combining frontend + backend and need flexibility. For mobile, iOS is Swift (and sometimes Objective-C), while Android is Kotlin—and I share why Android can actually be more job-secure globally. Finally, for data science and ML, Python dominates day-to-day, but C++ still powers a lot of the underlying libraries like TensorFlow/PyTorch.