Building a product is a lot like navigation. If your starting coordinates are off by just a few degrees, you won’t notice at first. But a hundred miles later, you’re in a different ocean entirely.
That’s why requirement gathering is the unsung hero of a great build. It’s the difference between a project that feels like a smooth ride and one that feels like a never-ending rescue mission.
When you rush the "what" and the "why," you’re essentially inviting delays to dinner. Poor requirements lead to those painful mid-project pivots where you have to tear down half of what you’ve already built just to stay on track.
But here is where the game changes: AI-centric workflows. We are no longer living in a world where you have to wait weeks to see if an idea actually works.
By putting AI at the center of your development, you can translate those requirements into a working model almost as fast as you can think of them. It’s about reaching that "v1.0" in a single day.
The "MVP King" isn't just the person who builds the fastest. It’s the one who uses AI to spot the gaps, understand the necessary changes, and iterate on them even quicker than the first draft.
It’s about being agile in the truest sense. You aren’t just coding; you’re orchestrating a system that allows you to fail fast, fix faster, and ship constantly.
Ultimately, shifting to an AI-centric development style is about reclaiming your time. It lets you focus on the vision while the workflow handles the heavy lifting, turning a months-long grind into a one-day sprint.