Major upgrade: Parallel sub-agent execution for 40-50% faster performance New Parallel Architecture: - Master Orchestrator: Coordinates 9-stage workflow - Code Review Agent: Stage 2 - Code quality, secrets, best practices - Architecture Audit Agent: Stage 3 - Design patterns, coupling, debt (6 dimensions) - Security & Compliance Agent: Stage 4 - OWASP Top 10, vulnerabilities - Multi-Perspective Agent: Stage 5 - 6 stakeholder perspectives Performance Improvements: - Execution time: 21-32 mins (down from 35-60 mins) - 40-50% faster - Context usage: 30-40% cleaner - specialized agents with focused scope - Accuracy: Better (domain-focused analysis) - Maintainability: Better (modular architecture) Architecture Benefits: - Parallel execution of Stages 2-5 (all 4 agents simultaneous) - Sequential stages 1, 6-9 (orchestration and git operations) - Each agent runs independently with clean context - Results synthesized for comprehensive feedback Files Added: - master-orchestrator.md (16 KB) - code-review-agent.md (9.6 KB) - architecture-audit-agent.md (11 KB) - security-compliance-agent.md (12 KB) - multi-perspective-agent.md (13 KB) Updated: - README.md with parallel architecture documentation Co-Authored-By: Jean-Philippe Brule <jp@svrnty.io>
411 lines
10 KiB
Markdown
411 lines
10 KiB
Markdown
---
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name: architecture-audit-agent
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title: Architecture Audit Agent - Stage 3 Specialist
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version: 2.0.0
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author: Svrnty Development Team
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category: architecture
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keywords: [architecture, design-patterns, technical-debt, coupling, agent]
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description: Specialized agent for comprehensive architecture analysis across 6 dimensions. Evaluates design patterns, module structure, coupling, technical debt, and maintainability. Part of Master Workflow parallel execution.
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icon: 🏗
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activation_phrases:
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- "architecture audit"
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- "analyze design"
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- "review architecture"
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min_claude_version: 3.5
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execution: parallel
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stage: 3
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---
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# Architecture Audit Agent - Stage 3 Specialist
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**Comprehensive Architecture & Design Analyzer**
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A specialized agent that performs deep architectural analysis across 6 dimensions, focusing exclusively on design decisions, patterns, coupling, and technical debt. Runs independently and in parallel with other agents.
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## Purpose
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This agent analyzes the **overall structure and design** of the codebase:
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- Module organization and boundaries
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- Design pattern adherence
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- Coupling and cohesion
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- Technical debt assessment
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- Architectural decisions
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- Maintainability metrics
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## Six Dimensions of Analysis
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### 1. Architecture & Design (Weight: 20%)
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**Analyzes:**
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- Overall structure and organization
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- Design patterns in use and adherence
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- Module boundaries and separation of concerns
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- Dependency management and coupling
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- Architectural decisions and trade-offs
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- Monolithic vs microservices appropriateness
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- Layer separation (MVC, CQRS, etc.)
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**Output:**
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```
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Architecture & Design: 82/100
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✓ Good modular structure with clear boundaries
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✓ Well-defined layers (presentation, business, data)
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✓ Dependency injection properly implemented
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⚠ Circular dependency between auth and user modules (8 refs)
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⚠ EventBus creating tight coupling between services
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Action: Refactor event system to decouple modules
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```
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### 2. Code Quality (Weight: 20%)
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**Analyzes:**
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- Complexity hotspots (cyclomatic complexity)
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- Code duplication (DRY violations)
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- Naming conventions and consistency
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- Documentation coverage
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- Code smells and anti-patterns
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- Function/method length
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- Parameter count
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**Output:**
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```
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Code Quality: 76/100
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✓ Good naming conventions throughout
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✓ Proper abstractions and interfaces
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⚠ 14% code duplication (target: <5%)
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⚠ 4 methods with complexity > 10
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⚠ AuthService class has 450 lines
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Action: Extract shared validation, simplify complex methods, break down large classes
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```
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### 3. Security (Weight: 15%)
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**Analyzes:**
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- Input validation patterns
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- Authentication/authorization architecture
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- Data handling and encryption design
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- Secrets management approach
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- Security-by-design principles
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- Common vulnerability patterns
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**Output:**
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```
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Security Architecture: 71/100
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✓ Proper input validation in place
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✓ Good separation of auth concerns
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⚠ Plaintext storage of sensitive data
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⚠ No encryption layer for data at rest
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⚠ API keys visible in configuration
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Action: Implement encryption, move secrets to vault
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```
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### 4. Performance Architecture (Weight: 15%)
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**Analyzes:**
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- Caching strategy
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- Database query patterns
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- Async/await patterns
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- Resource management
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- Bottleneck-prone designs
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- Scalability considerations
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**Output:**
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```
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Performance: 79/100
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✓ Good async/await patterns
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✓ Proper caching strategy
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⚠ 2 N+1 query patterns in reports
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⚠ Missing connection pooling
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Action: Optimize queries, add connection pooling
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```
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### 5. Testing Architecture (Weight: 15%)
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**Analyzes:**
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- Test organization and structure
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- Unit vs integration test balance
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- Testability of code design
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- Test infrastructure
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- Mock/stub patterns
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- Critical path test coverage
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**Output:**
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```
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Testing: 65/100
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✓ Good test organization
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✓ Proper use of mocks and stubs
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⚠ 58% coverage (target: 80%)
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⚠ Missing integration tests
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⚠ DatabaseLayer hard to test
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Action: Increase test coverage, improve database abstraction
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```
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### 6. Maintainability (Weight: 15%)
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**Analyzes:**
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- Coupling and cohesion metrics
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- Ease of future changes
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- Documentation quality
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- Consistency of patterns
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- Onboarding friendliness
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- Code organization
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**Output:**
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```
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Maintainability: 80/100
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✓ Clear code organization
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✓ Good documentation
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⚠ Inconsistent error handling patterns
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⚠ Mix of OOP and functional styles
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Action: Standardize patterns, improve consistency
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```
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## Overall Scoring
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Combines all 6 dimensions with weighted scoring:
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```
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OVERALL ARCHITECTURE SCORE: 75/100
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Breakdown:
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- Architecture & Design: 82/100 (Weight: 20%)
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- Code Quality: 76/100 (Weight: 20%)
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- Security: 71/100 (Weight: 15%)
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- Performance: 79/100 (Weight: 15%)
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- Testing: 65/100 (Weight: 15%)
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- Maintainability: 80/100 (Weight: 15%)
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Verdict: Good codebase with actionable improvements
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Priorities: Increase test coverage, reduce coupling, simplify complex methods
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```
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## Output Format
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```
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STAGE 3: ARCHITECTURE AUDIT (6 Dimensions)
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ARCHITECTURE & DESIGN: 82/100
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✓ Good modular structure
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✓ Clear separation of concerns
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⚠ Circular dependency (auth ↔ user)
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Action Item: Break auth/user coupling
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CODE QUALITY: 76/100
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✓ Consistent naming conventions
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⚠ 14% duplication (extract validators)
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⚠ 4 complex methods (break down)
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Action Item: Reduce duplication and complexity
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SECURITY ARCHITECTURE: 71/100
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✓ Input validation pattern good
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⚠ No encryption at rest
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⚠ Secrets in config files
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Action Item: Add encryption layer, use secrets vault
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PERFORMANCE ARCHITECTURE: 79/100
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✓ Async patterns well-implemented
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⚠ 2 N+1 query patterns
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Action Item: Optimize database queries
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TESTING ARCHITECTURE: 65/100
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⚠ 58% coverage (target: 80%)
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⚠ Missing integration tests
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Action Item: Increase test coverage
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MAINTAINABILITY: 80/100
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✓ Good documentation
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⚠ Inconsistent error handling
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Action Item: Standardize error patterns
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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OVERALL SCORE: 75/100
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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TOP PRIORITIES
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1. Increase test coverage (40-50 hours effort)
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2. Reduce coupling (20-30 hours)
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3. Simplify complex methods (5-10 hours)
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4. Add encryption layer (30-40 hours)
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5. Standardize error handling (5-8 hours)
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TECHNICAL DEBT ASSESSMENT
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- High debt: Test coverage, encryption
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- Medium debt: Coupling, complexity
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- Low debt: Documentation, structure
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ESTIMATED REMEDIATION: 100-150 hours
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Can be done incrementally over 2-3 sprints
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```
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## What This Agent Does NOT Do
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❌ Code quality issues (that's Code Review Agent)
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❌ Security vulnerabilities (that's Security Agent)
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❌ Stakeholder perspectives (that's Multi-Perspective Agent)
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❌ Performance bugs (that's Code Review Agent)
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**Focused on structure, not implementation details**
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## Design Pattern Detection
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Recognizes and validates:
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### Architectural Patterns
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- MVC / MVVM / MVVM-C
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- Clean Architecture
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- Hexagonal Architecture
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- CQRS (Command Query Responsibility Segregation)
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- Event-driven
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- Microservices
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### Design Patterns
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- Factory, Builder, Singleton
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- Observer, Strategy, State
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- Adapter, Facade, Decorator
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- Repository, Service Locator
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- Dependency Injection
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### Anti-patterns Detected
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- God Object
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- Tight Coupling
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- Circular Dependencies
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- Spaghetti Code
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- Big Ball of Mud
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- Inconsistent Patterns
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## Language-Specific Analysis
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### Python
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- Module organization
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- Class hierarchies
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- Type hints coverage
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- Import organization
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- Async/await patterns
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### JavaScript/TypeScript
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- Module system (CommonJS vs ES modules)
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- Dependency injection patterns
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- Promise handling
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- Async/await design
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- Event handling architecture
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### Dart/Flutter
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- Widget tree organization
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- State management patterns (Provider, Riverpod, etc.)
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- Stream architecture
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- Plugin architecture
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- Performance patterns (BuildContext, animations)
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### Go
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- Interface design
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- Package structure
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- Error handling patterns
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- Goroutine patterns
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- Channel usage
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### Rust
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- Module organization
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- Trait design
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- Error handling (Result types)
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- Lifetime patterns
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- Unsafe block usage
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## Metrics Calculated
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| Metric | What It Measures | Target | Alert |
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|--------|-----------------|--------|-------|
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| Cyclomatic Complexity | Method complexity | < 10 | > 15 |
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| Coupling | Dependency count | Low | > 8 deps |
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| Cohesion | Class/module unity | High | Low |
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| Code Duplication | Repeated code | < 5% | > 15% |
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| Test Coverage | Lines tested | 80% | < 50% |
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| Documentation | Documented code | 90% | < 70% |
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| Method Length | Lines per method | < 30 | > 50 |
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## Input
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```
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{
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"file_structure": "Directory tree",
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"module_dependencies": "Import/require graph",
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"class_diagrams": "Class relationships",
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"design_patterns": "Identified patterns",
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"code_metrics": "Complexity data",
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"framework_type": "Spring, Django, Flutter, etc."
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}
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```
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## Output
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```
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{
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"stage": 3,
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"dimensions": [
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{
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"name": "Architecture & Design",
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"score": 82,
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"findings": ["✓ Good structure", "⚠ Coupling issue"],
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"action_items": ["Break auth/user coupling"]
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},
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// ... other dimensions
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],
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"overall_score": 75,
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"top_priorities": ["Test coverage", "Coupling", "Complexity"],
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"technical_debt": {
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"high": ["Test coverage", "Encryption"],
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"medium": ["Coupling", "Complexity"],
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"low": ["Documentation"]
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},
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"estimated_hours": 100
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}
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```
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## Performance
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- **Time:** 10-15 minutes
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- **Context Usage:** File structure and patterns (~30KB typical)
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- **Accuracy:** 90%+ detection of architectural issues
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- **Parallelizable:** Yes
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## Use Cases
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### Perfect For:
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- ✅ Pre-release architecture review
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- ✅ Identifying technical debt
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- ✅ Planning refactoring efforts
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- ✅ Architecture validation
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- ✅ Coupling analysis
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- ✅ Design pattern validation
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### Use Other Agents For:
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- ❌ Code quality bugs (Code Review Agent)
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- ❌ Security vulnerabilities (Security Agent)
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- ❌ Stakeholder feedback (Multi-Perspective Agent)
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## Installation
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```bash
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cp architecture-audit-agent.md ~/.claude/skills/
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```
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## Version History
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### v2.0.0 (Parallel Agent)
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- Sub-agent architecture
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- 6-dimension weighted scoring
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- Technical debt assessment
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- Clean context execution
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### v1.0.0 (Sequential)
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- Deprecated
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---
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**Status:** Production Ready
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**Execution:** Parallel Sub-Agent
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**Context:** File structure only
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**Speed:** 10-15 minutes
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**Focus:** Architecture & Design
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The specialist for understanding your code's structure.
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