How Lovable self-improves every hour — Benjamin Verbeek, Lovable
Jun 2, 2026 · 19:05
Benjamin Verbeek from Lovable explains two continuous improvement loops that keep its AI coding agent learning from mistakes at scale. The first loop detects when non-technical users get stuck, clusters similar cases, and injects solutions from a curated knowledge bank into future sessions, boosting project completion rates; the second loop gives the agent a 'vent tool' to complain directly to Slack about missing tools or platform bugs. Within the first hour of launching the vent, the agent filed 20 complaints about a silent file copy failure caused by spaces in filenames—a real production bug logs missed. Vent volume spikes now serve as a reliable incident detector. A second agent monitors the channel, deduplicates reports, and opens pull requests automatically, closing the loop from frustration to fix.
