How Lovable self-improves every hour — Benjamin Verbeek, Lovable
This talk details Lovable's approach to continuous learning and self-improvement for AI agents, aiming to prevent repeated mistakes. The core thesis is that by systematically identifying and learning from user friction points, AI systems can become more robust and user-friendly, particularly for non-technical users. The presentation outlines two primary methods Lovable employs to achieve this: a "Lovable Stack Overflow" for learning from solvable issues and a "venting tool" for agents to report unsolvable problems.
Europe 2026 19 min