
Over cocktails recently, a few colleagues and I kept circling the same idea: with AI tools, more people can build rough internal tools, automations, and prototypes without waiting for a dedicated engineer. Software engineering skill still gives you leverage, but it no longer fully determines who gets to test an idea.
What feels different is the cost of the first pass. A small workflow tool or prototype can now be sketched, tried, and discarded much earlier. That lowers the cost of experimentation in a very practical way. More people can get to a usable first version while the idea is still cheap to change.
That does not make implementation unimportant. It changes where the constraint shows up. The harder part moves toward choosing the right problem, setting useful boundaries, and deciding whether the result is actually good enough to keep. The work is still real, but more of it shifts from typing everything by hand to directing and reviewing.
That is why the change still seems positive to me. I do not take it to mean that everyone is suddenly a software engineer. I take it to mean that the building layer is less gated than it used to be, which should lead to more experimentation and a wider range of ideas being tested.
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