19. Vibe Coding for Debugging & Incident Response
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What this section is for
Debugging in calm conditions is one thing. Debugging during an incident is different: you need speed, clarity, and risk control.
This section teaches how to use the model as an incident assistant without falling into “chatty guessing”:
- turn logs into ranked hypotheses,
- build minimal reproductions quickly,
- fix bugs with guardrails and regression protection,
- write postmortems that improve the system,
- set up monitoring so incidents don’t repeat.
Used correctly, an LLM can dramatically increase incident throughput: faster hypothesis generation, faster repro harnesses, faster safe fixes. Used incorrectly, it can waste time with plausible nonsense.
Incident mindset: evidence first
In incidents, always prioritize:
- reduction of impact: stop the bleeding
- reproduction: make the failure happen reliably
- evidence: logs, metrics, traces, diffs
- small fixes: minimal diffs with verification
The model is a tool for thinking and drafting, not a substitute for evidence.
A practical incident workflow
- Triage: scope, severity, timeline, last changes.
- Hypothesize: 3–5 ranked causes based on evidence.
- Test: run the cheapest test that distinguishes hypotheses.
- Fix: smallest fix + regression protection.
- Verify: tests + smoke checks + rollout safety.
- Document: postmortem and follow-ups.
Section 19 map (19.1–19.5)
- 19.1 Turning logs into hypotheses
- 19.2 Reproducing bugs with minimal test cases
- 19.3 Fixing with guardrails: tests, assertions, and contracts
- 19.4 Postmortems: writing a useful incident report
- 19.5 Preventing recurrence: monitoring and alerts
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19. Vibe Coding for Debugging & Incident Response sub-sections
19.1 Turning logs into hypotheses
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19.2 Reproducing bugs with minimal test cases
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19.3 Fixing with guardrails: tests, assertions, and contracts
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19.4 Postmortems: writing a useful incident report
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19.5 Preventing recurrence: monitoring and alerts
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