Self-Correction
Self-Correction is an agentic design pattern where an AI agent executes a task, validates the intermediate output (against unit tests, syntax linters, or criteria checklists), and recursively loops to edit and resolve mistakes when errors are found.
Frequently Asked Questions
How does self-correction work in coding agents?▼
The agent writes code, runs a shell command to compile it, reads any compile error outputs in the terminal sandbox, and prompts itself with the error stack to fix the script.
What is the limit of self-correction?▼
If the agent lacks capability, it can get stuck in infinite correction loops, which must be halted by step limits or human feedback triggers.
Quick Facts
- CategoryAgentic Systems
- Key ApplicationAutomated software debugging, self-healing code runs, and automated data entry verification.
Coverage Trend12 Weeks
Related AI Terms
Self-Correction Media Coverage & Intelligence
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