Every session this year has asked some version of this question, and it's a fair one. AI coding assistants genuinely do write boilerplate faster than a junior developer. What they don't do is decide what to build, catch a subtle logic error in a payment flow, or debug a race condition that only shows up under load.
The skill that's dropped in value is typing syntax from memory. The skill that's gone up in value is reading and reasoning about code someone — or something — else wrote, because that's now most of the job. Prompting is a real, useful skill on top of that, not a replacement for it.
Practically: still learn to code properly. Learn data structures, learn how a request actually moves through a web app, learn to read a stack trace. Then learn to use AI tools well on top of that foundation — that combination is what's actually in demand, not either skill alone.
Every track we teach — from Python to the Generative AI course — treats AI tools as part of the workflow, not a separate topic, for exactly this reason.
Want this mapped to your own background and goals?
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