AI agents are transforming how software is built, helping automate tasks and perform complex instructions. However, these AI systems, especially those based on large language models (LLMs), often make mistakes or struggle with multi-step tasks. Reinforcement learning (RL) offers a way for AI to learn better decisions by rewarding good actions and penalizing mistakes. But










