At some point in your career you realize every line of code you write is not just an asset—it's also a liability that needs to be maintained, debugged, and understood by others.
The excitement around AI coding tools isn't about chaining yourself to a crappy experience — it's about having support to offload cognitive overhead, reduce boilerplate, and help spot potential missteps early.
Sure, the current gen AI isn't quite there yet, but it can lighten the load, leaving more space to solving interesting problems, architecting elegant solutions and "figuring stuff out".
I really don't understand how replacing writing N lines of code by reading N lines of code reduces mental load. Reading and understanding code is generally harder than writing equivalent code.
You'd still have to review code if you asked another human to write it.
That's why minimizing the generated code is important as well as working on smaller parts at once to avoid what the author refers as "too much up-front work" -- It is also easier mentally when you can iterate on this whole process in seconds rather than days in a pull request review.
The excitement around AI coding tools isn't about chaining yourself to a crappy experience — it's about having support to offload cognitive overhead, reduce boilerplate, and help spot potential missteps early.
Sure, the current gen AI isn't quite there yet, but it can lighten the load, leaving more space to solving interesting problems, architecting elegant solutions and "figuring stuff out".