Windsurf Tab v2: 25-75% more accepted chars with Variable Aggression

Windsurf Tab v2 introduces a completely rewritten autocomplete model that increases accepted characters by 25-75% through improved context engineering and a new "variable aggression" feature. The team optimized the system prompt (76% reduction in length), refined the data pipeline, and used reinforcement learning to train models that predict more code per suggestion while maintaining acceptance rates. Users can now choose between different aggression levels to match their preferences, from conservative suggestions to bolder multi-line predictions. The update focuses on maximizing total keystrokes saved rather than just optimizing for acceptance rate alone.