How Lovable self-improves every hour — Benjamin Verbeek, Lovable
Lovable is pursuing continuous learning at scale so its agent learns from each mistake only once.
“We want to have a mistake happen once and then never again.”
A Lovable member of technical staff describes the company's work toward continuous learning at scale, where the vibe-coding agent learns from mistakes so they never recur. Because users stay on a single project for long sessions, Lovable can gather detailed signal to self-improve hourly, which matters as a concrete approach to the open problem of agents that learn over time.