Automated SOLID principles audit of an Express authentication demo identifying violations, scoring adherence, and providing actionable, code-level remediation steps for incremental refactoring
This lesson demonstrates an automated SOLID principles audit run against an Express authentication demo. The audit inspects architecture, domain boundaries, and implementation patterns, rates adherence to SOLID, and produces concrete, actionable remediation steps suitable for incremental refactoring.
This article summarizes the audit prompt, the SOLID principles checked, and the structured findings (with code-level remediation examples). Use the recommendations as minimal, drop-in changes where possible to improve testability, maintainability, and extensibility.
Below is the prompt used to drive the audit (kept verbatim for context):
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cwd: /Users/jeremy/Repos/[Claude Code For Beginners](https://learn.kodekloud.com/user/courses/claude-code-for-beginners)/Express-login-demoWhat's new:• Fixed issue causing "OAuth authentication is currently not supported"• Status line input now includes `exceeds_200k_tokens`• Fixed incorrect usage tracking in /cost.• Introduced `ANTHROPIC_DEFAULT_SONNET_MODEL` and `ANTHROPIC_DEFAULT_OPUS_MODEL` for controlling model aliases opusplan, opus, and sonnet.• Bedrock: Updated default Sonnet model to Sonnet 4> [Pasted text #1 +47 lines]
You can see the audit prompt asked for a line-by-line, code-location-aware SOLID evaluation and remediation. The audit evaluates:
Single Responsibility Principle (SRP)
Open/Closed Principle (OCP)
Liskov Substitution Principle (LSP)
Interface Segregation Principle (ISP)
Dependency Inversion Principle (DIP)
Audit checklist used:
SRP: Does each module have one reason to change? Identify modules violating SRP.
OCP: Can we extend without modifying core logic? Look for hard-coded switch statements and if/else chains that should be polymorphic.
LSP: Do derived classes properly extend base classes and preserve expected behavior?
ISP: Are interfaces (or implicit method contracts) too large? Do clients depend on methods they don’t use?
DIP: Are modules depending on abstractions or concrete implementations? Check for constructor injection vs new/direct imports/use of low-level modules.
Application: Express Login DemoSummary: The automated audit identified multiple violations across SOLID principles. The highest priority issues are concentrated in the auth route and direct use of low-level services (database, env, crypto). The recommendations below prioritize small, testable refactors that introduce seams for dependency injection and better separation of concerns.
Issue: A single handler performs input validation, database queries, password checking, JWT generation, and error mapping.
Impact: Multiple reasons to change (validation rules, auth flow, DB schema, token settings, error handling) increase coupling, reduce testability, and raise maintenance cost.
Anti-pattern example (simplified):
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// routes/auth.js (simplified)router.post('/login', async (req, res) => { // 1. Validate req.body // 2. Query database for user // 3. Compare password with bcrypt // 4. Generate JWT // 5. Handle and map errors to responses // ... ~79 lines of mixed concerns});
Remediation: Split responsibilities into repository, service, and controller layers. Keep route handlers thin; move business logic into services and data access into repositories.Example refactor (repository, service, controller):
Recommendation: Wire concrete implementations at bootstrap so controllers receive dependencies via constructor injection. This keeps handlers small, focused, and unit-testable.
Medium-severity violations: Hardcoded error handling and switch statements
Issue: Error handling logic contains switch statements on error codes. Adding new error cases requires editing the same function, violating OCP.
Impact: Changing behavior for new error codes forces modifications in central logic rather than extending it.
Anti-pattern:
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// Anti-patternswitch (error.code) { case 'ECONNREFUSED': return res.status(503).json({ error: 'Database connection failed' }); case '28P01': return res.status(503).json({ error: 'Database authentication failed' }); // every new error code needs modifying this switch}
Remediation: Implement an extensible error mapping strategy (map lookup or registry) so new mappings can be added without modifying core error handling logic.Example:
Issues: Limited abstraction for database clients; direct instantiation prevents safe substitution with mocks or alternate DB adapters.
Problem: The code constructs a Pool in multiple locations, making it hard to replace with a mock or different DB adapter.
Impact: Tests require a real DB connection or heavy mocking; swapping databases is expensive.
Remediation: Introduce an adapter base class and implement concrete adapters (Postgres, Mock) that conform to the same contract.Example adapter pattern:
Construct adapters at bootstrap and inject them where needed. Tests can provide a mock adapter that adheres to the same contract, preserving substitutability.
Analysis: JavaScript’s dynamic typing limits formal interfaces, but conceptual violations still exist.
Issue: Route handlers depend on full Express req/res even when they use only a subset (e.g., req.body.email, res.json).
Impact: Tight coupling to Express complicates unit testing and reuse.
Anti-pattern:
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// route handler tied to full req/resrouter.post('/login', (req, res) => { // uses req.body.email, req.body.password, and res.send/json/status});
Remediation: Define handler interfaces that accept only necessary inputs and a minimal response handler. This decouples business logic from Express and simplifies unit tests.Example lightweight handler interface:
Critical violation: High-level auth logic depends on low-level implementations (DB pool, process.env, bcrypt/jwt concrete imports).
Location: routes/auth.js:5 — const pool = require('../config/database');
Impact: Tight coupling prevents unit testing without DB, and swapping implementations is difficult. Direct access to process.env reduces test isolation.
Critical: High-level modules should depend on abstractions. Introduce repository/adapter interfaces, service wrappers for third-party libs (jwt, bcrypt, crypto), and a ConfigService to encapsulate environment access before proceeding with large refactors.
Remediation: Introduce abstractions and inject dependencies (repositories, jwt service, config service). Wrap third-party libraries behind small, test-friendly services that act as seams.Example repository + service + bootstrap wiring:
Cyclomatic Complexity: High (login function has 8+ decision points)
Lines per Function: Excessive (login function ≈ 79 lines)
Coupling: High (direct dependencies on 5+ low-level modules)
Testability: Poor (no DI, direct env & DB usage)
Final assessment: The application demonstrates some separation of concerns but requires targeted refactors to meet SOLID expectations. Start with seams for DI and thin controllers; this yields immediate improvements in testability and maintainability while allowing gradual replacement of concrete implementations.The audit also notes that common example code patterns can bias generated or copied code toward imperfect designs—this repo appears influenced by such patterns. Use the remediation plan above to progressively harden the codebase.Prompts used for code review are available in the repository referenced below.