Has AI changed your definition of productivity?
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A year ago, writing code was most of my day.
Today I spend much more time reviewing AI output, refining prompts, validating behavior, making product decisions, and connecting pieces together.
It feels like the bottleneck has shifted from implementation to judgment.
Has AI changed what “productive” means for you?
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noticed i'm spending more time thinking before doing. a few better decisions usually beat hours of extra work.
@zackarymen76110 Yes, a few good calls upfront can save a lot of cleanup later.
i think AI made execution faster but it also rasied the important of judgment. knowing what not to build has become part being productive.
@sanjau_sanjay Totally agree. Productivity now feels less like how much you can ship and more like how quickly you can choose the right thing to ship.
AI definitely changed my workflow. finishing tasks is easier but making the right decisions still takes time.
@ameliajoyn6 the harder part is still deciding what should be done, what should be skipped, and whether the output is actually right.
Definitely. I think AI has shifted productivity from how much I can produce to how well I can evaluate. Generating a draft, writing code, or summarizing research is much faster now, but the real value comes from asking the right questions, validating the output, and deciding what actually deserves to be acted on.
In that sense, I think the bottleneck has become judgment rather than execution. The people who benefit most from AI aren't necessarily the fastest at prompting—they're the ones who can distinguish a convincing answer from a correct one and connect the output to the bigger picture.
i think for me, execution got faster with AI, but knowing what's actually worth building takes way more thought now
Absolutely. I spend less time writing every line of code and more time designing systems, setting the architecture, choosing the right tools, and verifying the output.
Productivity used to mean how much I could personally build in a day. Now it's about how well I can orchestrate AI to produce high-quality results while keeping the project maintainable. The bottleneck hasn't disappeared—it has shifted from typing code to making good technical and product decisions.
I think the founders who adapt the fastest will be the ones who become great AI orchestrators, not just great programmers.
AI made typing a weak proxy for progress. My better days now have fewer generated lines and more closed loops: a claim checked, a risky assumption killed, a user problem narrowed, a test that would have caught the bug. Judgment is work, but it needs evidence or it becomes very sophisticated procrastination.
Liso
Today i just build something quickly and turn my focus right into marketing as thats the next step that really matters.