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name: fail-fast-debugging description: Systematic debugging discipline that enforces root cause investigation BEFORE fixes. Triggers on - bug, error, failing, broken, fix, not working, crash, issue, debug, investigate, diagnose, trace, root cause, why is, undefined, null, 500 error, RLS, timeout, infinite loop, exception, stack trace. Integrates with Zen MCP, TodoWrite, and verification-before-completion. Aligns with fail-fast engineering principle.

Fail-Fast Debugging

Purpose

Enforce disciplined debugging that finds root causes BEFORE attempting fixes. This skill prevents wasted effort from symptom-chasing and aligns with the fail-fast engineering principle.

Core Mandate: NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST

When to Use

Automatically activates when you mention:

• Error terms: bug, error, failing, broken, crash, issue, exception
• Investigation terms: debug, investigate, diagnose, trace, root cause, why is
• Symptoms: undefined, null, 500 error, RLS policy, timeout, infinite loop
• Fix attempts: fix, not working, still failing, try again

The Four Phases

Phase 1: Root Cause Investigation (MANDATORY)

STOP. Do not propose any fixes until completing these steps:

1. Examine the error - Read the FULL error message and stack trace
2. Reproduce consistently - Confirm you can trigger the issue reliably
3. Check recent changes - git log -5 --oneline and git diff for context
4. Gather diagnostic evidence - Console logs, network tab, RLS policies
5. Trace data flow backward - Find where the problem ORIGINATES, not where it MANIFESTS

Required Tool: Use mcp__zen__debug to structure your investigation:

Copymcp__zen__debug: "Investigating [error]. Evidence gathered: [list].
Hypothesis: [theory]. Next diagnostic step: [action]."

Required Action: Create investigation todos BEFORE any fix attempts:

CopyTodoWrite: [
  {"content": "Reproduce error consistently", "status": "in_progress"},
  {"content": "Trace data flow to origin point", "status": "pending"},
  {"content": "Identify root cause (not symptom)", "status": "pending"},
  {"content": "Implement targeted fix", "status": "pending"},
  {"content": "Verify fix resolves issue", "status": "pending"}
]

Phase 2: Pattern Analysis

1. Find working examples - Locate similar code that DOES work
2. Compare implementations - List ALL differences (imports, types, props, queries)
3. Check dependencies - Verify versions, configurations, environment
4. Review assumptions - What are you assuming that might be wrong?

Phase 3: Hypothesis Testing

1. Form a specific hypothesis - "The error occurs because X"
2. Test with minimal change - ONE change at a time
3. Verify before proceeding - Confirm the hypothesis was correct
4. Admit uncertainty - Say "I don't know" rather than guessing

Phase 4: Implementation

1. Write a failing test first (when applicable)
2. Implement the fix - Target the ROOT CAUSE, not symptoms
3. Verify the solution - Run tests, check the specific scenario
4. Document learnings - What caused this? How to prevent recurrence?

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Critical Rules

The 2-Attempt Rule

If TWO fix attempts fail, STOP and question the architecture.

After 2 failed attempts:

1. Step back from implementation details
2. Ask: "Is the underlying design sound?"
3. Consider: Are we fighting the framework/pattern?
4. Use mcp__zen__thinkdeep for architectural analysis

One Change at a Time

• NEVER bundle multiple fixes
• Each change must be testable in isolation
• If you can't isolate the fix, you don't understand the problem

Verify Before Claiming Fixed

• Run the actual failing scenario
• Check related functionality didn't break
• Use verification-before-completion skill compliance

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Anti-Patterns (RED FLAGS)

See ANTI-PATTERNS.md for detailed patterns. Summary:

If you catch yourself thinking any of these, RESTART Phase 1:

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CRM-Specific Debugging

See CRM-DEBUGGING.md for Crispy CRM patterns. Quick reference:

React Admin Issues

• Check unifiedDataProvider first - ALL data flows through it
• Verify Zod schemas match API responses
• Check React Admin resource registration

Supabase/RLS Issues

• Test query in Supabase SQL editor first
• Check RLS policies with auth.uid() context
• Verify deleted_at IS NULL filters

Data Provider Issues

• Log at API boundary in unifiedDataProvider
• Check Zod validation errors (they're intentionally loud)
• Verify junction table relationships (e.g., contact_organizations)

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Tool Integration

Required Tools

Optional Tools

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Enforcement

Contextual enforcement based on file criticality:

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Quick Reference Checklist

Before proposing ANY fix, confirm:

• I read the FULL error message and stack trace
• I can reproduce the issue consistently
• I checked git log and git diff for recent changes
• I traced the problem to its ORIGIN (not just where it shows)
• I created investigation todos
• I used mcp__zen__debug to structure my thinking
• I have a specific hypothesis (not a guess)
• I'm making ONE change at a time
• This is attempt #1 or #2 (not #3+)

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Remember: Addressing symptoms without understanding causes guarantees rework. Take the time to investigate FIRST.