multi_agent_debuggingTier 1 · 70% confidence
observability-multi-agent-debuggin-production-issue-with-errors-in-both-frontend-and--d2316713
agent: observability
When does this happen?
IF Production issue with errors in both frontend and backend logs, requiring correlation across stacks.
How others solved it
THEN Use a multi-agent MCP server to delegate analysis to specialized AI sub-site_1: Gemini for log correlation, Codex for backend fix, Claude for frontend error handling, Cursor for codebase search. Then aggregate all findings into a single incident report with root cause and prioritized fixes.
Use Gemini SubAgent to analyze the logs from both stacks, correlate the events, and form a hypothesis about the root cause. Use Codex SubAgent to analyze the Python backend traceback and suggest a specific code fix for the database connection error. Use Claude SubAgent to review the frontend error handling and recommend more resilient patterns. Use Cursor SubAgent to search the codebase for other files that might have similar database connection issues. At the end, aggregate all findings into a single incident report with root cause analysis and prioritized fixes.
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