YC-backed insurtech startup Corgi is defending itself against accusations from Papermark that it stole open source software, and the story is doing the rounds partly because of the phrase buried in TechCrunch's coverage: vibe coding. The implication is that AI-assisted code generation makes attribution murky at best and impossible at worst. When you prompt your way to a product, who wrote the software?
Interoperability as an Ideology
The question gets stranger when you set it next to The Verge's deep dive into Matter, the smart home interoperability standard that Apple, Google, Amazon, and Samsung have been collectively building for four years. Matter is explicitly about making code and protocols a commons: the idea that the foundational layer of the smart home should belong to everyone, or at least to no single company. It's the opposite of the Corgi situation. One is a dispute about who owns a product built on open infrastructure. The other is an attempt to build open infrastructure so nobody has to have that dispute.
The Attribution Problem in the AI Age
The Corgi controversy is an early case study in a problem that will define the next decade of software development. AI coding assistants are trained on open source repositories. The outputs they produce may reproduce patterns, structures, or specific implementations without any conscious act of copying. TurboFund's guide to common founder mistakes flags IP provenance as an increasingly fraught due diligence category for investors. Legal frameworks built around intentional copying are poorly equipped for statistical similarity. The open source community has always run on norms as much as licenses. Vibe coding blows up the norms without replacing them. Matter is a rare example of the industry trying to build the norms first. It's telling that it took four years and the combined weight of the four biggest consumer tech companies to get there.