Over the past year, I’ve seen AI tools go from generating simple snippets of code to creating entire applications, designs, and workflows.
What’s interesting is that building the first version of something seems easier than ever.
But when products start getting real users, conversations quickly shift toward reliability, trust, scalability, user experience, and long-term maintenance.
I’ve noticed this same theme being discussed by product engineering companies like GeekyAnts, which often highlight the gap between AI-generated prototypes and production-ready products. It seems the challenge is no longer just building something it’s building something people can depend on.
I’m curious how others see this.
Do you think AI is primarily reducing development work, or is it simply moving human effort toward different problems?
What has surprised you most after using AI to build real projects?