Before AI, a team of four needed 36 to 48 hours to
ship one MVP at a hackathon. Now two people can do it in eight hours. But does building faster actually mean building better?
In this episode of AI Thoughtmakers, we sit down with Vinayak, who leads Developer Relations at Sevalla, to talk about how AI is redefining the Minimum Viable Product development. We cover what's changed since AI entered the picture, what hasn't, and why the real risk today isn't building too slowly, it's building the wrong thing very quickly.
From the shrinking hackathon to one founder's costly lesson in skipping market research, to why "what should we not build" might be the most important question a team can ask, this is the episode for founders, product teams, and engineers rethinking how ideas become products in the AI era.
Key topics covered:
How AI is reducing MVP development time from days to hours
Why the fundamentals of a good MVP, like customer interviews and market research, still matter
How non-technical founders can use AI to build and launch products
Are teams building MVPs too quickly, and what gets lost when they do
A founder's story: shipping fast, gaining 50k+ users, then realizing the market was wrong
Why AI hasn't reduced the need for people, just changed what teams look like
Building a team of human members and AI agents working side by side
Why AI helps engineers at every experience level, not just senior ones
Whether you're a founder deciding what to build next, a product manager weighing speed against validation, or an engineer curious about where judgment still matters most, this episode gives you a clearer way to think about building in the AI era.
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