Improving Composer through real-time RL
Summary
The article details real-time RL as a method to train coding models using live production signals, enabling frequent deployment of improved Composer checkpoints (every ~5 hours). It discusses train-test mismatch, reward hacking risks, and strategies to monitor and adjust rewards, with a path toward longer loops and organizational specialization.