When you can build a working version in an afternoon, the concept of a “minimum viable product” changes meaning.
The MVP Was a Compromise
The minimum viable product was always a concession to reality. You couldn’t build the full vision because it would take too long and cost too much. So you stripped it down to the bare essentials — the minimum set of features that would let you test your hypothesis in the market. The MVP was a tool for learning, and the trade-off was shipping something that was, by definition, incomplete and often underwhelming. The logic made sense when building software was slow and expensive. But what happens when building isn’t slow anymore?
When a solo founder or a small team can go from idea to working product in days instead of months, the MVP framework doesn’t disappear, but it transforms fundamentally.
The New Speed of Building
Here’s what’s actually possible today with AI-assisted development. A founder with a clear product vision and moderate prompting skills can build a working web application — with authentication, a database, a functional UI, and basic business logic — in a weekend. Not a mockup. Not a prototype. A working application that real users can sign up for and use. A small agency team can go from a client brief to a functioning product prototype in a single sprint — not wireframes to discuss at the next meeting, but a deployed application the client can interact with and test with real users.
This speed changes the economics of product development. When building is cheap and fast, you can afford to build more before deciding what’s worth pursuing. You can test three different approaches simultaneously. The constraint has shifted from “can we build this?” to “should we build this?” And that’s a much better problem to have.
Beyond the MVP: The Working Hypothesis
Instead of minimum viable products, think in terms of working hypotheses. A working hypothesis isn’t stripped down to the minimum — it’s focused on the specific thing you want to learn, and it’s built well enough that the quality of the experience doesn’t contaminate the feedback. One of the biggest problems with traditional MVPs was that user feedback was polluted by the roughness of the product. Users said they didn’t like the concept when what they actually didn’t like was the buggy interface or the missing features that made the core experience feel incomplete.
When you can build a polished, focused experience quickly, you get cleaner signal. Users react to the concept, not the execution quality. This also means you can test more hypotheses. Instead of one MVP that tests one big bet, you can build three focused prototypes that each test a different aspect of your product vision. Test them all, with working software, in the time it used to take to build one MVP.
Implications for Product Teams
For startups, this means faster iteration cycles, more experiments per unit of time, and ultimately faster product-market fit. For agencies and studios, this is a massive opportunity — the ability to deliver working prototypes at the speed clients expect static mockups completely changes the value proposition. For product teams inside larger companies, it means more exploration before commitment: instead of a six-month project that might not validate the hypothesis, run a two-week spike with AI-assisted building to test the concept before allocating full resources.
The era of the stripped-down, barely-functional MVP isn’t quite over, but it’s ending. When building is fast, build more. Build better. And learn faster.