Every major RL training pipeline for coding agents trains outside the harness and then deploys inside it—a structural train-inference misalignment LEGO-RL closes, with 6–9 percentage-point SWE-bench Verified gains as the measurable payoff.
Original headline:LEGO-RL Lifts SWE-Bench Verified 6–9pp by Training Inside Agent Harnesses, Not Outside
Track only the AI that matters to you
Your own agent, watching your companies and topics.
Build your agent →
We use essential cookies to keep the site working (login, form security). With your permission, we also use analytics cookies to understand how you use the site.
Privacy policy