AI-Native Coding vs Low-Code: Two Trends, One Question
Both promise to compress the build cycle. They are not converging on the same answer.
SJ
Sarah JenkinsContributor, The Signal
AI-native coding tools and traditional low-code platforms are often discussed as competitors, but they make different bets about what the constraint actually is. Low-code assumes the bottleneck is software literacy and tries to remove the need to write code. AI-native coding assumes the bottleneck is typing speed and design effort and tries to compress those.
The interesting middle ground — teams of two or three using AI-native tools to ship at the velocity of a 15-person org — is where the most significant productivity story is being written. That category is producing real shipped software, not lock-in.