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debugging-and-error-recovery

Systematic root-cause analysis — stop guessing, start isolating

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Quellinformationen

Repository
vignesh2027/AI-AGENT-SKILLS
Letzte Quellaktivität
13. Mai 2026 um 19:03
Erkannte Sprache von SKILL.md
Englisch
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1
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0

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
debugging-and-error-recovery
description
Systematic root-cause analysis — stop guessing, start isolating
difficulty
junior
domains
["general"]
## Overview Debugging is a skill, not luck. Effective debugging is systematic: form a hypothesis, design a minimal test, validate or falsify, repeat. Random changes are not debugging — they are gambling. ## When to Use - When a test is failing and the cause is unclear - When behavior in production differs from behavior in development - When you've been debugging the same issue for more than 30 minutes ## Process ### Step 1: Reproduce reliably Before investigating: reproduce the issue consistently. If you can't reproduce it, you can't verify you've fixed it. ### Step 2: Gather evidence Read the full error message (not just the last line). Check: logs, stack traces, metrics, recent changes. What changed recently? ### Step 3: Form a hypothesis Write down a specific, falsifiable hypothesis: "I believe the error is caused by X because of Y." ### Step 4: Isolate the smallest reproduction Create the simplest possible test case that reproduces the issue. Remove everything that is not necessary for the bug to manifest. ### Step 5: Test the hypothesis Design an experiment that will either confirm or falsify your hypothesis. This often means: add a log statement, write a unit test, or add an assertion. ### Step 6: Falsify or confirm If the evidence falsifies your hypothesis: form a new hypothesis. If it confirms: find the root cause (not just the symptom). ### Step 7: Fix and verify Fix the root cause, not the symptom. Verify the fix: the minimal reproduction must no longer reproduce. The full test suite must pass. ### Step 8: Write a regression test Write a test that would have caught this bug. Add it to the test suite. ## Anti-Rationalizations **"I'll try changing this and see if it works"** This is not debugging. Form a hypothesis first. **"The bug is intermittent — I can't reproduce it"** Intermittent bugs have causes. Add logging and wait for the next occurrence. Or: analyze the conditions under which it occurred and stress test those conditions. ## Verification Requirements - [ ] Issue reproducible before fix attempted - [ ] Root cause identified (not just symptom addressed) - [ ] Fix verified with minimal reproduction - [ ] Regression test added
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