Code research projects with async coding agents like Claude Code and Codex
Read OriginalThis article discusses a pattern for using Large Language Models (LLMs) as asynchronous coding agents for code research. The author explains how agents like Claude Code and Codex can be given a research goal, set to work autonomously in a dedicated GitHub repository, and file a pull request with their findings. This method is effective because the executed code provides definitive answers, making it ideal for testing feasibility and building proofs-of-concept.
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