Claude Code is unreasonably good at building MVPs (www.brethorsting.com)

Anthropic’s Claude Code is being used to compress the MVP development cycle from weeks or months down to hours or days, letting developers turn “what if we built X” into a working prototype by the end of an afternoon. That speed shift isn’t just about saving time—it's changing product strategy: teams can now validate many more ideas through quick, user-facing experiments instead of lengthy pre-build research. Because prototypes are cheap and replaceable, the sunk-cost bias that keeps mediocre projects alive is reduced, so teams can kill failed ideas earlier and concentrate resources on what actually resonates with users. Technically, Claude-generated code is ideal for fast validation but not production as-is: expect brittle database schemas, minimal security controls, light error handling, and other shortcuts that require significant refactoring and hardening before scaling. That creates technical debt if shipped directly, but for exploratory work those trade-offs are deliberate—speed and learning outweigh pristine architecture. The practical implication for AI/ML teams is a change in where validation happens: from planning to rapid build–test cycles, making developer velocity and customer feedback the primary scarce resources rather than raw development time.