Steer, Don't Solve: Training Small Critic Models for Large Code Agents

📰 ArXiv cs.AI

Learn to train small critic models to steer large code agents, improving strategy-level reasoning in code execution

advanced Published 23 Jun 2026
Action Steps
  1. Freeze the agent model to focus on critic model training
  2. Add a small critic model to supply steering signals
  3. Train the critic model to optimize strategy-level reasoning
  4. Integrate the critic model with the frozen agent
  5. Test the combined model on code execution tasks
  6. Fine-tune the critic model for improved performance
Who Needs to Know This

Software engineers and AI researchers can benefit from this approach to improve the efficiency and effectiveness of code agents, by providing a more nuanced understanding of code-level execution and strategy-level reasoning

Key Insight

💡 Small critic models can effectively steer large code agents, improving code execution and strategy-level reasoning

Share This
🚀 Train small critic models to steer large code agents and boost strategy-level reasoning!

Key Takeaways

Learn to train small critic models to steer large code agents, improving strategy-level reasoning in code execution

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