warden-second-opinion

To stop an AI coding assistant from getting stuck in a debugging loop, you can use a two-tier diagnostic protocol that spawns a fresh subagent for unbiased root cause analysis, breaking the repetitive cycle of ineffective fixes.

Claude repeats failed fixes due to contextual tunneling, but automated triggering can detect this loop by counting file edits and initiate a fresh subagent to perform structured problem solving and identify the true root cause.

The best way to perform root cause analysis when AI fails to resolve a bug is applying a tiered diagnosis system, where a mandatory second tier forces deep analysis and generates a human-readable summary for human handoff.

Yes, you need to provide a structured problem brief and specific subagent prompts to ensure effective analysis and generate accurate human-readable summaries during the diagnostic protocol.

Yes, you can use subagent spawning for workflow management and problem solving to apply structured diagnosis, prevent wasted effort on ineffective solutions, and identify root causes in persistent issues.