How tools like 'Scrapling' and 'deer-flow' use recursive loops to self-correct. Building a simple loop that reads stderr, patches code, and retries.

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A hands-on tutorial for building a recursive debugging agent in Node.js that autonomously fixes code by reading stderr, parsing errors, generating patches via an LLM (gpt-4o-mini), writing them back to disk, and retrying until the script runs clean or a retry ceiling is hit. The implementation covers five components: a runner using child_process.spawn, an error analyzer with regex-based parsing, an LLM-assisted patcher using the OpenAI SDK, and a loop controller with safety rails including retry limits, repeated-error detection, no-op patch rejection, and versioned backups. Real-world precedents from Scrapling's self-healing selectors and deer-flow's reflective multi-agent architecture are cited. Production hardening guidance covers exponential backoff, token budgeting, human-in-the-loop checkpoints, and porting to other runtimes.

Rethinking Debugging: The Recursive Agent Pattern

Architecture of a Recursive Debugging Agent