The founder-led structure keeps product decisions close to the people reviewing their technical consequences. Modern AI increases the capacity available for a broader portfolio of implementation, investigation and testing; it also makes it practical to invest in the tools and systems used to build, verify and maintain software rather than treating that machinery as an afterthought.
Human direction remains primary. Requirements, trade-offs, risk acceptance and public claims require accountable decisions. AI-generated proposals and automated checks inform those decisions, but neither substitutes for engineering judgement or evidence from the system being built.