systematic-debugging
Four-phase debugging framework for any technical issue. Use when encountering bugs, errors, or unexpected behavior. Prevents random fix attempts.
What this skill does
# Systematic Debugging > From [obra/superpowers](https://github.com/obra/superpowers) ## Core Principle **NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST** Random fixes create new bugs. Understanding must precede solutions. ## The Four Phases ### Phase 1: Root Cause Investigation Before ANY fix attempt: 1. **Read error messages carefully** - Full stack traces - Error codes and descriptions - Timestamps and context 2. **Reproduce consistently** - Document exact steps - Identify triggers - Note environmental factors 3. **Check recent changes** - Recent commits - Dependency updates - Configuration changes 4. **Gather diagnostic evidence** - Add logging at component boundaries - Check input/output at each step - Trace data flow backward to source ### Phase 2: Pattern Analysis 1. **Find similar working code** - Search codebase for related functionality - Look for existing patterns 2. **Read reference implementations completely** - Don't skim - Understand the full context 3. **Compare working vs broken** - What's different? - What assumptions changed? 4. **Understand dependencies** - What does this code rely on? - What relies on this code? ### Phase 3: Hypothesis and Testing 1. **Form a SINGLE, SPECIFIC hypothesis** - "The error occurs because X" - Not "maybe it's A or B or C" 2. **Test with minimal changes** - One variable at a time - Don't combine fixes 3. **Accept results** - If hypothesis is wrong, form new one - Don't force-fit evidence 4. **Ask for help when stuck** - After genuine investigation - With evidence gathered ### Phase 4: Implementation 1. **Create a failing test case FIRST** - Reproduces the bug - Will pass when fixed 2. **Implement SINGLE fix** - Address root cause only - Don't fix "nearby" issues 3. **Verify the fix** - Test case passes - No regressions - Issue is resolved ## The 3-Fix Rule **If ≥3 fixes fail: STOP and question the architecture** Three consecutive failed fixes signal: - Architectural problem, not implementation bug - Wrong mental model of the system - Need to step back and reassess Do NOT attempt more fixes. Reassess the approach. ## Critical Red Flags STOP and restart investigation if you: - Propose fixes before understanding the problem - Add multiple changes simultaneously - Skip investigation for "quick fixes" - Make 3+ failed fix attempts - Say "let's just try this" ## Debugging Checklist ```markdown ## Investigation - [ ] Read full error message/stack trace - [ ] Reproduced issue consistently - [ ] Checked recent changes - [ ] Added diagnostic logging - [ ] Traced data flow ## Analysis - [ ] Found similar working code - [ ] Compared working vs broken - [ ] Understood all dependencies ## Hypothesis - [ ] Formed single specific hypothesis - [ ] Tested with minimal change - [ ] Accepted results honestly ## Fix - [ ] Created failing test case - [ ] Implemented single fix - [ ] Verified fix works - [ ] No regressions ``` ## Example Workflow ``` Issue: User login fails silently Phase 1 - Investigation: - Error: "null reference at AuthService.validate()" - Reproduced: happens with specific user emails - Recent change: added email normalization Phase 2 - Analysis: - Working logins use lowercase emails - Failing logins have mixed case - Normalization strips @ symbol incorrectly Phase 3 - Hypothesis: - "Email normalization regex is wrong" - Test: log email before/after normalization - Result: "[email protected]" → "testexample.com" - Confirmed! Phase 4 - Fix: - Write test: normalize("[email protected]") == "[email protected]" - Fix regex to preserve @ - Verify: test passes, logins work ```
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