A Practical Guide to Autonomous Evaluation Loops in Claude Code

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Building self-improving AI skills in Claude Code involves using an autonomous iterative loop to refine performance over time. Simon Scrapes introduces this concept through the lens of Andrej Karpathy’s “auto-research” framework, which emphasizes structured, data-driven improvement. The process begins with testing specific skills, analyzing results against predefined metrics and refining outputs based on measurable success. […]

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