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skills/debugging.md
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# Skill: Systematic Debugging
**Use when encountering any bug, test failure, or unexpected behavior** -- before proposing fixes.
## Overview
Random fixes waste time and create new bugs. Quick patches mask underlying issues.
**Core principle:** ALWAYS find root cause before attempting fixes. Symptom fixes are failure.
## The Iron Law
```
NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST
```
If you haven't completed Phase 1, you cannot propose fixes.
## When to Use
Use for ANY technical issue:
- Test failures
- Bugs in production
- Unexpected behavior
- Performance problems
- Build failures
- Integration issues
**Use this ESPECIALLY when:**
- Under time pressure (emergencies make guessing tempting)
- "Just one quick fix" seems obvious
- You've already tried multiple fixes
- Previous fix didn't work
- You don't fully understand the issue
## The Four Phases
Complete each phase before proceeding to the next.
### Phase 1: Root Cause Investigation
**BEFORE attempting ANY fix:**
1. **Read Error Messages Carefully**
- Don't skip past errors or warnings
- Read stack traces completely
- Note line numbers, file paths, error codes
2. **Reproduce Consistently**
- Can you trigger it reliably?
- What are the exact steps?
- If not reproducible, gather more data -- don't guess
3. **Check Recent Changes**
- What changed that could cause this?
- Git diff, recent commits
- New dependencies, config changes
4. **Gather Evidence in Multi-Component Systems**
- For each component boundary: log what enters and exits
- Verify environment/config propagation
- Run once to gather evidence showing WHERE it breaks
- Then investigate that specific component
5. **Trace Data Flow**
- Where does the bad value originate?
- What called this with the bad value?
- Keep tracing up until you find the source
- Fix at source, not at symptom
### Phase 2: Pattern Analysis
1. **Find Working Examples** -- locate similar working code in the same codebase
2. **Compare Against References** -- read reference implementations completely
3. **Identify Differences** -- list every difference, however small
4. **Understand Dependencies** -- what settings, config, environment does this need?
### Phase 3: Hypothesis and Testing
1. **Form Single Hypothesis** -- "I think X is the root cause because Y"
2. **Test Minimally** -- make the smallest possible change to test
3. **Verify Before Continuing** -- did it work? If not, form a NEW hypothesis
4. **When You Don't Know** -- say so. Don't pretend.
### Phase 4: Implementation
1. **Create Failing Test Case** -- simplest possible reproduction
2. **Implement Single Fix** -- address the root cause, ONE change at a time
3. **Verify Fix** -- test passes? No other tests broken?
4. **If 3+ Fixes Failed: Question Architecture** -- each fix revealing new problems means the pattern is wrong, not just the code
## Red Flags -- STOP and Return to Phase 1
If you catch yourself thinking:
- "Quick fix for now, investigate later"
- "Just try changing X and see if it works"
- "It's probably X, let me fix that"
- "I don't fully understand but this might work"
- Proposing solutions before tracing data flow
## Common Rationalizations
| Excuse | Reality |
|--------|---------|
| "Issue is simple, don't need process" | Simple issues have root causes too. Process is fast for simple bugs. |
| "Emergency, no time for process" | Systematic debugging is FASTER than guess-and-check thrashing. |
| "Just try this first, then investigate" | First fix sets the pattern. Do it right from the start. |
| "I'll write test after confirming fix works" | Untested fixes don't stick. Test first proves it. |
## Quick Reference
| Phase | Key Activities | Success Criteria |
|-------|---------------|------------------|
| **1. Root Cause** | Read errors, reproduce, check changes, gather evidence | Understand WHAT and WHY |
| **2. Pattern** | Find working examples, compare | Identify differences |
| **3. Hypothesis** | Form theory, test minimally | Confirmed or new hypothesis |
| **4. Implementation** | Create test, fix, verify | Bug resolved, tests pass |