parallel-debugging

Systematic debugging framework using competing hypotheses to identify root causes across multiple failure categories. Framework for debugging complex issues using the Analysis of Competing Hypotheses (ACH) methodology with parallel agent investigation. Generate hypotheses across 6 failure mode categories: Always cite evidence with file:line references: After all investigators report: If multiple hypotheses are confirmed, rank by: Before declaring the bug fixed: - Generates hypotheses across six failure mode categories: logic errors, data issues, state problems, integration failures, resource issues, and environment mismatches - Establishes evidence standards with citation requirements (file:line references) and confidence levels (high/medium/low) to avoid confirmation bias - Supports parallel agent investigation with structured result arbitration that ranks confirmed hypotheses by confidence, evidence strength, and causal chain clarity - Includes validation checklist ensuring fixes address root cause without introducing new issues or missing edge cases - Bug has multiple plausible root causes - Initial debugging attempts haven't identified the issue - Issue spans multiple modules or components - Need systematic root cause analysis with evidence - Want to avoid confirmation bias in debugging - Incorrect conditional logic (wrong operator, missing case) - Off-by-one errors in...