If AI can build a micro app in a day, what makes it worth building?
The rise of AI coding tools has sparked discussion about "micro apps" – small tools addressing specific problems. Developers are questioning if it's more effective to quickly build and test a minimal viable product rather than spending extensive time on initial validation. This approach, focusing on rapid iteration and observing user engagement, is emerging as a potentially legitimate strategy in app development.
Unlike traditional development cycles, AI's ability to build a micro app in a day shifts the focus from extensive pre-validation to rapid, iterative testing of multiple small ideas.
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PublishedOffset at this time: UTC+0Oct 8, 2026, 19:26 UTC
IngestedOffset at this time: UTC+0Oct 8, 2026, 23:00 UTC
- Published
- Oct 8, 2026, 19:26
- Ingested
- Oct 8, 2026, 23:00
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Discussion trend
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I've been seeing a lot more people talking about "micro apps" lately. Small tools built around one specific problem, often using AI coding tools.
It got me thinking about how much the cost of building software has changed.
If you can go from an idea to a working app in a day, does it make more sense to build a small version and see if anyone actually wants it instead of spending weeks or months validating it first?
Or are we just going to end up with thousands of AI generated apps that technically work but solve problems nobody really cares about?
I'm also curious about the line between a useful micro app and something that should simply be a feature of an existing product.
For those building with AI, has the lower cost of development changed what you're willing to build?
And do you think "build a lot of small things and see what sticks" is becoming a legitimate strategy?