"In a time when AIs are writing code (and eating human coding jobs), you still need to learn to code. Why? If you want a program written, you can use an AI. But AI is wrong a lot - and confidently so. You'd better know how to code so you can confidently check your AI's work. Also: Worried about AI coding?"
"I first learned to code in the days of punch cards and paper tape. My first programming language was BASIC, typed into an ASR-33 teletype and stored on paper tape. I then went on to Fortran programming, where we typed our programs onto punch cards, with each card holding a line of code. As you might imagine, if I'd stopped learning back then, I never would have been able to keep up with all the changes in computing over the past few decades."
"In 2025, I focused on Python. As we've shown, Python is one of the world's most popular programming languages. I am comfortable programming in 20-30 programming languages. I had programmed in Python before these courses. However, I had never undertaken a large project. Most of my Python work had been accomplished using MicroPython, which is used to run Arduino controllers."
Free Harvard programming courses provide rigorous instruction that goes beyond basic tutorials and sharpens practical coding skills. Learning to code remains essential because AI often generates incorrect code that must be verified and corrected by humans. High-quality courses impose heavy workloads that develop real, transferable abilities. Continuous professional development is necessary to keep pace with decades of rapid computing change. Early programming involved punch cards, paper tape, BASIC on an ASR-33 teletype, and Fortran. Recent focus on Python and hands-on projects, including MicroPython for Arduino, substantially increases practical competence.
Read at ZDNET
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