arXiv AI
Development of an Autonomous AI Coding Agent using Monte Carlo Tree Search (MCTS) and Gemini LLM Frameworks
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Evolving Excellence: Automated Optimization of LLM-based Agents
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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge
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iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML
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arXiv AI
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Self-Evolving Coding Rules for AI Coding Agents
arXiv:2610.00650v1 Announce Type: cross Abstract: The performance of AI coding agents is highly dependent on their underlying coding rules. However, existing coding rules are typically hand-crafted a...