Pattern Analyzer

Pattern Analyzer

L3 Worker that analyzes a single architectural pattern against best practices and calculates 4 scores.

Purpose & Scope

• Analyze ONE pattern per invocation (receives pattern name, locations, best practices from coordinator)
• Find all implementations in codebase (Glob/​Grep)
• Validate implementation exists and works
• Calculate 4 scores: compliance, completeness, quality, implementation
• Identify gaps and issues with severity and effort estimates
• Return structured analysis result to coordinator

Input (from ln-640 coordinator)

- pattern: string          # Pattern name (e.g., "Job Processing")
- locations: string[]      # Known file paths/​directories
- adr_reference: string    # Path to related ADR (if exists)
- bestPractices: object    # Best practices from MCP Ref/​Context7/​WebSearch

Workflow

Phase 1: Find Implementations

# Use locations from coordinator + additional search
files = []
files.append(Glob(locations))

# Expand search using common_patterns.md grep patterns
IF pattern == "Job Processing":
  files.append(Grep("Queue|Worker|Job|Bull|BullMQ", "**/​*.{ts,js,py}"))
IF pattern == "Event-Driven":
  files.append(Grep("EventEmitter|publish|subscribe|on\\(", "**/​*.{ts,js,py}"))
# ... etc

deduplicate(files)

Phase 2: Read and Analyze Code

FOR EACH file IN files (limit: 10 key files):
  Read(file)
  Extract:
    - Components implemented
    - Patterns used
    - Error handling approach
    - Logging/​observability
    - Tests coverage

Phase 3: Calculate 4 Scores

Compliance Score (0-100):

score = 0
IF follows industry standard (MADR, Nygard): +30
IF has ADR documentation: +20
IF consistent naming conventions: +15
IF follows tech stack conventions: +15
IF no anti-patterns detected: +20

Completeness Score (0-100):

score = 0
IF all required components present: +40
IF error handling implemented: +20
IF logging/​observability: +15
IF tests exist: +15
IF documentation complete: +10

Quality Score (0-100):

score = 0
IF code readable (short methods, clear names): +25
IF maintainable (low complexity): +25
IF no code smells: +20
IF follows SOLID: +15
IF performance optimized: +15

Implementation Score (0-100):

score = 0
IF code exists and compiles: +30
IF used in production paths (not dead code): +25
IF no dead/​unused implementations: +15
IF integrated with other patterns: +15
IF monitored/​observable: +15

Phase 4: Identify Issues and Gaps

issues = []
FOR EACH bestPractice IN bestPractices:
  IF NOT implemented:
    issues.append({
      severity: "HIGH" | "MEDIUM" | "LOW",
      category: "compliance" | "completeness" | "quality" | "implementation",
      issue: description,
      suggestion: how to fix,
      effort: estimate ("2h", "4h", "1d", "3d")
    })

gaps = {
  undocumented: aspects not in ADR,
  unimplemented: ADR decisions not in code
}

recommendations = [
  "Create ADR for X",
  "Update existing ADR with Y",
  "Refactor Z to match pattern"
]

Phase 5: Return Result

{
  "pattern": "Job Processing",
  "scores": {
    "compliance": 72,
    "completeness": 85,
    "quality": 68,
    "implementation": 90
  },
  "codeReferences": [
    "src/​jobs/​processor.ts",
    "src/​workers/​base.ts"
  ],
  "issues": [
    {
      "severity": "HIGH",
      "category": "quality",
      "issue": "No dead letter queue",
      "suggestion": "Add Bull DLQ configuration",
      "effort": "4h"
    }
  ],
  "gaps": {
    "undocumented": ["Error recovery strategy"],
    "unimplemented": ["Job prioritization from ADR"]
  },
  "recommendations": [
    "Create ADR for dead letter queue strategy"
  ]
}

Critical Rules

• One pattern only: Analyze only the pattern passed by coordinator
• Read before score: Never score without reading actual code
• Effort estimates: Always provide realistic effort for each issue
• Best practices comparison: Use bestPractices from coordinator, not assumptions
• Code references: Always include file paths for findings

Definition of Done

• All implementations found via Glob/​Grep
• Key files read and analyzed
• 4 scores calculated with justification
• Issues identified with severity, category, suggestion, effort
• Gaps documented (undocumented, unimplemented)
• Recommendations provided
• Structured result returned to coordinator

Reference Files

• Scoring rules: ../​ln-640-pattern-evolution-auditor/​references/​scoring_rules.md
• Common patterns: ../​ln-640-pattern-evolution-auditor/​references/​common_patterns.md

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Version: 1.0.0 Last Updated: 2026-01-29