failure-recovery

To debug AI agent failures, you need a systematic protocol that classifies the error type, analyzes the root cause, and applies targeted solutions before re-attempting the task.

Fixing React hydration mismatches involves classifying the failure as a type or runtime error, analyzing the discrepancy, and applying prescriptive solutions like including relevant types before resubmitting.

Resolving NestJS circular dependency errors requires diagnosing the failure type, applying tailored remedies such as providing reference files, and escalating to a human user if the issue repeats.

You should escalate repeated AI code generation errors to a human when the failure recovery protocol identifies complex issues that cannot be resolved through targeted solutions like task breakdown.

An AI code snippet fails to compile due to a type error when the output has a pattern mismatch; the AI must identify the specific error message and relevant types to fix the issue.

Yes, you can use a failure classification protocol for TypeORM migration failures by identifying the error as a partial implementation and applying targeted solutions before re-attempting.