How AI and vibe coding changed the economics of software development in 2026
Before mature AI tools, building an MVP was an expensive bet. Even a small product required choosing a stack in advance, assembling a team, agreeing on an architecture, planning a roadmap, and paying for several weeks of work before anyone knew whether the result would be useful. A wrong hypothesis was expensive not only in money, but also in time: while the team was building the first version, the market could already be showing that the idea was weak, the sales channel did not work, or the user problem had been framed incorrectly.