AI Makes Software Feasibility Easy, but Product Judgment Still Matters

Summary

AI-assisted coding and vibe coding can make software implementation dramatically faster, sometimes reducing work that once took a sprint to an afternoon. The article argues that this does not eliminate the need for product management, because customers buy solutions rather than code. Product teams still need to define the product’s moat, positioning, pricing, messaging, go-to-market approach, support model, and business case. It presents a common product framework built around value, viability, usability, and feasibility, with ethics sometimes added as a fifth concern. AI has made feasibility much easier, but it has not solved whether a problem is worth addressing, whether the business can work, or whether people can use the result. As execution becomes cheaper, the bottleneck shifts to judgment: deciding what to build, for whom, through which channel, at what price, and with what message. The article advises founders and technology leaders to evaluate whether product managers are focused on customer problems, positioning, pricing, and business viability rather than merely writing tickets and attending stand-ups. Its conclusion is that the strongest teams will be those that make the best decisions, not simply those that ship fastest.