Architecture & Design Auditor (L3 Worker)
Specialized worker auditing architecture principles and design patterns.
Purpose & Scope
- •Worker in ln-620 coordinator pipeline - invoked by ln-620-codebase-auditor
- •Audit architecture and design (Categories 3+4: High Priority)
- •Check DRY/KISS/YAGNI violations, layer breaks, TODO/FIXME, workarounds, error handling
- •Return structured findings with severity, location, effort, recommendations
- •Calculate compliance score (X/10) for Architecture & Design category
Inputs (from Coordinator)
Receives contextStore with:
- •
tech_stack- detected tech stack (languages, frameworks) - •
best_practices- researched best practices from MCP - •
principles- project-specific principles from docs/principles.md - •
codebase_root- root path of codebase
Domain-aware fields (NEW):
- •
domain_mode:"domain-aware"|"global"(optional, defaults to "global") - •
current_domain:{name, path}when domain_mode="domain-aware"
Example contextStore (domain-aware):
{
"tech_stack": {...},
"best_practices": {...},
"principles": {...},
"codebase_root": "/project",
"domain_mode": "domain-aware",
"current_domain": {
"name": "users",
"path": "src/users"
}
}
Workflow
- •
Parse context from contextStore
- •Extract tech_stack, best_practices, principles
- •Determine scan_path (NEW):
code
IF domain_mode == "domain-aware": scan_path = codebase_root + "/" + current_domain.path domain_name = current_domain.name ELSE: scan_path = codebase_root domain_name = null
- •
Scan codebase for violations
- •All Grep/Glob patterns use
scan_path(not codebase_root) - •Example:
Grep(pattern="TODO", path=scan_path)
- •All Grep/Glob patterns use
- •
Collect findings with severity, location, effort, recommendation
- •Tag each finding with
domain: domain_name(if domain-aware)
- •Tag each finding with
- •
Calculate score using penalty algorithm
- •
Return JSON result to coordinator
- •Include
domainandscan_pathfields (if domain-aware)
- •Include
Audit Rules (Priority: HIGH)
1. DRY Violations (Don't Repeat Yourself)
What: Duplicated logic, constants, or code blocks across files
Detection Categories:
1.1. Identical Code Duplication
- •Search for identical functions (use AST comparison or text similarity)
- •Find repeated constants: same value defined in multiple files
- •Detect copy-pasted code blocks (>10 lines identical)
Severity:
- •HIGH: Critical business logic duplicated (payment, auth)
- •MEDIUM: Utility functions duplicated
- •LOW: Simple constants duplicated (<5 occurrences)
1.2. Duplicated Validation Logic
What: Same validation patterns repeated across validators/controllers
Detection:
- •Email validation:
/@.*\./regex patterns in multiple files - •Password validation:
/.{8,}/, strength checks repeated - •Phone validation: phone number regex duplicated
- •Common patterns:
isValid*,validate*,check*functions with similar logic
Severity:
- •HIGH: Auth/payment validation duplicated (inconsistency risk)
- •MEDIUM: User input validation duplicated (3+ occurrences)
- •LOW: Simple format checks duplicated (<3 occurrences)
Recommendation: Extract to shared validators module (validators/common.ts)
Effort: M (extract validators, update imports)
1.3. Repeated Error Messages
What: Hardcoded error messages instead of centralized error catalog
Detection:
- •Grep for hardcoded strings in
throw new Error("..."),res.status(400).json({ error: "..." }) - •Find repeated messages: "User not found", "Invalid credentials", "Unauthorized access"
- •Check for missing error constants file:
errors.ts,error-messages.ts,constants/errors.ts
Severity:
- •MEDIUM: Critical error messages hardcoded (auth, payment) - inconsistency risk
- •MEDIUM: No centralized error messages file
- •LOW: Same error message in <3 places
Recommendation:
- •Create central error messages file (
constants/error-messages.ts) - •Define error catalog:
const ERRORS = { USER_NOT_FOUND: "User not found", ... } - •Replace hardcoded strings with constants:
throw new Error(ERRORS.USER_NOT_FOUND)
Effort: M (create error catalog, replace hardcoded strings)
1.4. Similar Code Patterns (>80% Similarity)
What: Code with similar logic but different variable names/structure
Detection:
- •Use fuzzy matching/similarity algorithms (Levenshtein distance, Jaccard similarity)
- •Compare function bodies ignoring variable names
- •Threshold: >80% similarity = potential duplication
Example:
// File 1
function processUser(user) { return user.name.toUpperCase(); }
// File 2
function formatUserName(u) { return u.name.toUpperCase(); }
// ✅ Same logic, different names - DETECTED
Severity:
- •MEDIUM: Similar business logic (>80% similarity) in critical paths
- •LOW: Similar utility functions (<3 occurrences)
Recommendation: Extract common logic, create shared helper function
Effort: M (refactor to shared module)
1.5. Duplicated SQL Queries
What: Same SQL queries/ORM calls in different controllers/services
Detection:
- •Find repeated raw SQL strings:
SELECT * FROM users WHERE id = ? - •ORM duplicates:
User.findOne({ where: { email } })in multiple files - •Grep for common patterns:
SELECT,INSERT,UPDATE,DELETEwith similar structure
Severity:
- •HIGH: Critical queries duplicated (payment, auth)
- •MEDIUM: Common queries duplicated (3+ occurrences)
- •LOW: Simple queries duplicated (<3 occurrences)
Recommendation: Extract to Repository layer, create query methods
Effort: M (create repository methods, update callers)
1.6. Copy-Pasted Tests
What: Test files with identical structure (arrange-act-assert duplicated)
Detection:
- •Find tests with >80% similar setup/teardown
- •Repeated test data: same fixtures defined in multiple test files
- •Pattern:
beforeEach,afterEachwith identical code
Severity:
- •MEDIUM: Test setup duplicated in 5+ files
- •LOW: Similar test utilities duplicated (<5 files)
Recommendation: Extract to test helpers (tests/helpers/*), use shared fixtures
Effort: M (create test utilities, refactor tests)
1.7. Repeated API Response Structures
What: Duplicated response objects instead of shared DTOs
Detection:
- •Find repeated object structures in API responses:
typescript
return { id: user.id, name: user.name, email: user.email } - •Check for missing DTOs folder:
dtos/,responses/,models/ - •Grep for common patterns:
return { ... }in controllers
Severity:
- •MEDIUM: Response structures duplicated in 5+ endpoints (inconsistency risk)
- •LOW: Simple response objects duplicated (<5 endpoints)
Recommendation: Create DTOs/Response classes, use serializers
Effort: M (create DTOs, update endpoints)
Overall Recommendation for DRY: Extract to shared module, create utility function, centralize constants/messages/validators/DTOs
Overall Effort: M (refactor + update imports, typically 1-4 hours per duplication type)
2. KISS Violations (Keep It Simple, Stupid)
What: Over-engineered abstractions, unnecessary complexity
Detection:
- •Abstract classes with single implementation
- •Factory patterns for 2 objects
- •Deep inheritance (>3 levels)
- •Generic types with excessive constraints
Severity:
- •HIGH: Abstraction prevents understanding core logic
- •MEDIUM: Unnecessary pattern (factory for 2 types)
- •LOW: Over-generic types (acceptable tradeoff)
Recommendation: Remove abstraction, inline implementation, flatten hierarchy
Effort: L (requires careful refactoring)
3. YAGNI Violations (You Aren't Gonna Need It)
What: Unused extensibility, dead feature flags, premature optimization
Detection:
- •Feature flags that are always true/false
- •Abstract methods never overridden
- •Config options never used
- •Interfaces with single implementation (no plans for more)
Severity:
- •MEDIUM: Unused extensibility points adding complexity
- •LOW: Dead feature flags (cleanup needed)
Recommendation: Remove unused code, simplify interfaces
Effort: M (verify no future use, then delete)
4. Layer Boundary Breaks
What: Architectural layers violated (UI calling DB directly, Controller bypassing Service, etc.)
Detection:
- •Grep for direct DB calls in UI/presentation layer
- •Grep for Repository imports in Controllers:
- •Pattern:
import.*Repository.*fromin files matching*Controller.*,*controller.*,*Controller.ts,*Controller.js,*controller.py
- •Pattern:
- •Check for concrete class dependencies instead of interfaces/abstractions
- •Verify separation: Controller → Service → Repository → DB (Clean Architecture dependency rule)
Severity:
- •CRITICAL: UI directly accessing database (bypass all layers)
- •CRITICAL: Controller directly using Repository (skip Service layer)
- •HIGH: Business logic in presentation layer
- •HIGH: Dependency on concrete classes instead of interfaces (violates Dependency Inversion Principle)
- •MEDIUM: Tight coupling between layers
Recommendation:
- •Add service layer between Controller and Repository
- •Use Dependency Inversion Principle: depend on interfaces/abstractions, not concrete implementations
- •Refactor to proper layering (Controller → Service → Repository → DB)
Effort: L (architectural refactor)
5. TODO/FIXME/HACK Comments
What: Unfinished work, temporary solutions
Detection:
- •Grep for
TODO,FIXME,HACK,XXX,OPTIMIZE - •Check age (git blame) - old TODOs are higher severity
Severity:
- •HIGH: TODO in critical path (auth, payment) >6 months old
- •MEDIUM: FIXME/HACK with explanation
- •LOW: Recent TODO (<1 month) with plan
Recommendation: Complete TODO, remove HACK, refactor workaround
Effort: Varies (S for simple TODO, L for architectural HACK)
6. Missing Error Handling
What: Critical paths without try-catch, error propagation
Detection:
- •Find async functions without error handling
- •Check API routes without error middleware
- •Verify database calls have error handling
Severity:
- •CRITICAL: Payment/auth without error handling
- •HIGH: User-facing operations without error handling
- •MEDIUM: Internal operations without error handling
Recommendation: Add try-catch, implement error middleware, propagate errors properly
Effort: M (add error handling logic)
7. Centralized Error Handling
What: Errors handled inconsistently across different contexts (web requests, cron jobs, background tasks)
Detection:
- •Search for centralized error handler class/module:
ErrorHandler,errorHandler,error-handler.ts/js/py - •Check if error middleware delegates to handler:
errorHandler.handleError(err)or similar - •Verify all async routes use promises or async/await (Express 5+ auto-catches rejections)
- •Check for error transformation (sanitize stack traces for users in production)
- •Anti-pattern check: Look for
process.on("uncaughtException")usage (BAD PRACTICE per Express docs)
Severity:
- •HIGH: No centralized error handler (errors handled inconsistently in multiple places)
- •HIGH: Using
uncaughtExceptionlistener instead of proper error propagation (Express anti-pattern) - •MEDIUM: Error middleware handles errors directly (doesn't delegate to central handler)
- •MEDIUM: Async routes without proper error handling (not using promises/async-await)
- •LOW: Stack traces exposed in production responses (security/UX issue)
Recommendation:
- •Create single ErrorHandler class/module for ALL error contexts
- •Middleware should only catch and forward to ErrorHandler (delegate pattern)
- •Use async/await for async routes (framework auto-forwards errors)
- •Transform errors for users: hide sensitive details (stack traces, internal paths) in production
- •DO NOT use uncaughtException listeners - use process managers (PM2, systemd) for restart instead
- •For unhandled rejections: log and restart process (use supervisor, not inline handler)
Effort: M-L (create error handler, refactor existing middleware)
8. Dependency Injection / Centralized Init
What: Direct imports/instantiation instead of dependency injection, scattered initialization
Detection:
- •Check for DI container usage:
- •Node.js:
inversify,awilix,tsyringe,typedipackages - •Python:
dependency_injector,injectorpackages - •Java: Spring
@Autowired,@Injectannotations - •.NET: Built-in DI in ASP.NET Core,
IServiceCollection
- •Node.js:
- •Grep for direct instantiations in business logic:
new SomeService(),new SomeRepository() - •Check for centralized Init/Bootstrap module:
bootstrap.ts,init.py,Startup.cs,app.module.ts - •Verify controllers/services receive dependencies via constructor/parameters, not direct imports
Severity:
- •MEDIUM: No DI container (hard to test, tight coupling, difficult to swap implementations)
- •MEDIUM: Direct instantiation in business logic (
new Service()in controllers/services) - •LOW: Mixed DI and direct imports (inconsistent pattern)
Recommendation:
- •Use DI container for dependency management (Inversify, Awilix, Spring, built-in .NET DI)
- •Centralize initialization in Init/Bootstrap module
- •Inject dependencies via constructor/parameters (dependency injection pattern)
- •Never use direct instantiation for business logic classes (only for DTOs, value objects)
Effort: L (refactor to DI pattern, add container, update all instantiations)
9. Missing Best Practices Guide
What: No architecture/design best practices documentation for developers
Detection:
- •Check for architecture guide files:
- •
docs/architecture.md,docs/best-practices.md,docs/design-patterns.md - •
ARCHITECTURE.md,CONTRIBUTING.md(architecture section)
- •
- •Verify content includes: layering rules, error handling patterns, DI usage, coding conventions
Severity:
- •LOW: No architecture guide (harder for new developers to understand patterns and conventions)
Recommendation:
- •Create
docs/architecture.mdwith project-specific patterns:- •Document layering: Controller→Service→Repository→DB
- •Error handling: centralized ErrorHandler pattern
- •Dependency Injection: how to add new services/repositories
- •Coding conventions: naming, file organization, imports
- •Include examples from existing codebase
- •Keep framework-agnostic (principles, not specific implementations)
Effort: S (create markdown file, ~1-2 hours documentation)
Scoring Algorithm
penalty = (critical * 2.0) + (high * 1.0) + (medium * 0.5) + (low * 0.2) score = max(0, 10 - penalty)
Output Format
Return JSON to coordinator:
Global mode output:
{
"category": "Architecture & Design",
"score": 6,
"total_issues": 12,
"critical": 2,
"high": 4,
"medium": 4,
"low": 2,
"findings": [...]
}
Domain-aware mode output (NEW):
{
"category": "Architecture & Design",
"score": 6,
"domain": "users",
"scan_path": "src/users",
"total_issues": 12,
"critical": 2,
"high": 4,
"medium": 4,
"low": 2,
"findings": [
{
"severity": "CRITICAL",
"location": "src/users/controllers/UserController.ts:45",
"issue": "Controller directly uses Repository (layer boundary break)",
"principle": "Layer Separation (Clean Architecture)",
"recommendation": "Create UserService, inject into controller",
"effort": "L",
"domain": "users"
},
{
"severity": "HIGH",
"location": "src/users/services/UserService.ts:45",
"issue": "DRY violation - duplicate validation logic",
"principle": "DRY Principle",
"recommendation": "Extract to shared validators module",
"effort": "M",
"domain": "users"
}
]
}
Critical Rules
- •Do not auto-fix: Report only
- •Domain-aware scanning: If
domain_mode="domain-aware", scan ONLYscan_path(not entire codebase) - •Tag findings: Include
domainfield in each finding when domain-aware - •Context-aware: Use project's
principles.mdto define what's acceptable - •Age matters: Old TODOs are higher severity than recent ones
- •Effort realism: S = <1h, M = 1-4h, L = >4h
Definition of Done
- •contextStore parsed (including domain_mode and current_domain)
- •scan_path determined (domain path or codebase root)
- •All 9 checks completed (scoped to scan_path):
- •DRY (7 subcategories), KISS, YAGNI, Layer Breaks, TODOs, Error Handling, Centralized Errors, DI/Init, Best Practices Guide
- •Findings collected with severity, location, effort, recommendation, domain
- •Score calculated
- •JSON returned to coordinator with domain metadata
Reference Files
- •Architecture rules: references/architecture_rules.md
Version: 4.0.0 Last Updated: 2025-12-23