Deep Debugging

Evidence-first debugging and incident triage for unclear, recurring, production-like, or high-risk software bugs. Use when the user asks for root cause analysis, says a fix did not work, reports 401/403/500 with context, deploy/runtime failures, broken integrations, or needs investigation before code changes. Do not use for obvious typos, missing installs, or trivial one-line fixes.

No guessing. No random fixes. Stabilize incidents first, then prove the root cause.

When to use

Use this skill for:

• unclear or recurring bugs
• user-facing/prod-like failures: 500, broken login, failed deploy, red healthcheck
• auth/session bugs: 401, 403, cookie/JWT weirdness
• integrations/webhooks/rate limits/signature failures
• “still broken”, “same error”, “find root cause”, “debug this properly”

Do not use it for obvious compiler errors, typos, missing install/setup steps, or cosmetic UI tweaks.

Operating contract

1. Observe before editing. No code/config changes before evidence + hypothesis.
2. One hypothesis at a time. If you cannot state the proof, you do not know the cause.
3. Binary search the chain. Split request → app → service → DB/API → response.
4. Minimal reversible fix. No drive-by refactors.
5. Verify and prevent. Test the exact failure path and document recurrence prevention.

Workflow

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0. Incident Gate   → user/prod impact? stabilize first
1. Quick Triage    → obvious setup/runtime misses
2. Evidence        → exact error, repro, affected path, last change
3. Hypothesis      → one testable cause + one test
4. Narrow          → binary-search the failure chain
5. Fix             → smallest reversible change
6. Verify          → exact repro/test/build/log evidence
7. Prevent         → regression/monitoring/learning when recurring or prod-like

Phase 0 — Incident Gate

If users, production, money flows, auth, data integrity, or external integrations are affected, switch to incident mode before debugging.

Output first:

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INCIDENT SNAPSHOT
Impact:     [who/what is affected]
Severity:   [low/medium/high/critical + why]
Started:    [time/commit/deploy if known]
Evidence:   [logs/status/metrics; redacted]
Stabilize:  [rollback, feature flag, pause job, monitor, or no-op]
Next step:  [one concrete diagnostic action]

Rules:

• High/critical production incidents: check rollback/feature flag before hotfix.
• Preserve evidence before redeploy/restart when possible.
• Production writes, rollbacks, migrations, credential changes, or third-party changes require explicit user approval.

For detailed incident checklists read references/incident-first.md.

Phase 1 — Quick Triage

Check these before deeper analysis:

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□ Server/process restarted after config/code change?
□ Correct env file/keys present? Key names only, never values.
□ Dependencies installed/generated after package/schema changes?
□ Migration/schema state matches runtime?
□ Browser/client cache or stale build ruled out?
□ Repro uses test data, not live credentials/customer data?

If a quick triage item explains the issue, fix that minimally and still verify.

Phase 2 — Evidence

Collect real proof:

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Error:       exact message/status/stack excerpt
Path:        endpoint/function/job/component
Repro:       minimal steps or request shape
Scope:       all users vs specific role/input/tenant/environment
Expected:    what should happen
Actual:      what happens
Last change: commit/deploy/config/schema/provider change

Optional helper: run scripts/incident_snapshot.sh locally to collect safe environment metadata. It prints env key names only, not values.

Phase 3 — Hypothesis

State exactly one hypothesis before touching code:

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HYPOTHESIS: The failure happens because [specific cause],
which I will prove/disprove by [specific test].

Bad: “Something is wrong with auth.” Good: “The 401 happens because the login token is set but not sent on /me, which I will prove by comparing the login response headers with the follow-up request headers.”

Phase 4 — Narrow with binary search

Pick the chain and split it:

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Frontend → request creation → network → API gateway/middleware → controller → service → DB/external API → response → UI

After each test report:

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✅ Ruled out: [component] because [evidence]
❌ Found: [component] fails because [evidence]

For stack-specific checklists read references/stack-checklists.md.

Phase 5 — Fix

Only after evidence supports the hypothesis:

• change the smallest surface area
• do not refactor unrelated code
• prefer reversible config/code changes
• keep secrets and production data out of logs/reports
• stop after 3 failed fix attempts and restart from evidence/hypothesis

Phase 6 — Verify

Before saying done, provide evidence:

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DEBUG REPORT
Failure:      [exact issue]
Root cause:   [specific cause]
Proof:        [test/log/code evidence]
Fix:          [minimal change]
Verified:     [command/test/repro result]
Prevention:   [test/monitoring/doc/learning, or "not needed" + why]
Remaining:    [risk/blocker, or "none known"]

For report variants read references/output-templates.md.

Phase 7 — Prevent recurrence

Required when the bug is production-like, recurring, security-adjacent, or took more than one hypothesis:

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□ Regression test or smoke test added/identified
□ Monitoring/logging improved or gap named
□ Runbook/rollback note captured for future incidents
□ Durable learning written if likely to recur

Hard rules

• Never fix before hypothesis.
• Never test with real credentials or copy raw tokens/cookies/secrets.
• Never mix unrelated refactor with bug fix.
• Never claim root cause without proof.
• Never hide remaining risk.
• If meaningful optimization potential remains, mention it as Next optimization:.