Speed from AI comes from fewer decisions.
Most companies aren't getting the speed they hoped for from AI. The difference is engineering foundations - patterns for AI to extend, or gaps it fills by improvising.
the truth as I see it now
Pieces by deegeevince. Personal truths at a point in time — on what's in our control, and what's being reshaped around us.
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Giving "AI slop" as feedback says just as much about the commenter as the creator.
The label can mean anything, gives the creator almost nothing to act on, and by its own definition reads a lot like human slop. What matters is what you do with it.
You can only get AI scale if you let AI do the reviewing too.
AI can scale creation beyond human review capacity, so the next gap is teaching AI to review against human standards.
AI slop starts with the codebase itself.
AI changes rewrite economics because codebases with clear, common patterns get more leverage than proprietary or inconsistent systems.
AI slop reflects the human, not the AI.
Bad AI output is not always proof that AI is bad; it often says more about the person who accepted and published it.
You're going to be left behind if you don't understand AI.
A fast car doesn't win races — a driver does. The same is now true of AI, and it changes who gets hired.
I think the world seriously lacks transparency right now.
From politics to business, what you hear and what you visibly see as actions reflect two different versions of reality.