Why ChatGPT Can't Build Your MVP for You
AI tools are incredible for prototyping, but writing code is the easy part. Building, hosting, securing, and maintaining software still requires human skill.
Building MVPs, validation strategies, and lean startup principles
AI tools are incredible for prototyping, but writing code is the easy part. Building, hosting, securing, and maintaining software still requires human skill.
The offshore MVP failure pattern I see repeatedly: unusable code, no documentation, security gaps, and a rebuild that costs more than doing it right.
Product-market fit gets all the attention, but launching teaches you far more: how people actually use your product and why your assumptions were wrong.
Standard MVP advice assumes you're paying developers. When you're building yourself, the calculus changes—and sometimes building more is the smarter move.
The standard MVP advice can backfire. Sometimes minimum viable isn't minimum valuable—and a too-small product generates noise, not signal.
Before you look for a developer or cofounder, answer this: do you know if anyone wants what you're building? Are you sure software is the answer?
The cofounder search costs more than time—it costs optionality and equity. Here's what matchmaking events don't tell you.
Real numbers on MVP development costs in 2026. What affects pricing, what you're actually paying for, and how to think about the investment.
The startup ecosystem's advice to find a technical cofounder doesn't work for most founders. Here's why the search fails and what to do instead.
9 articles in MVP Development