Practical Guide
Vibe Coding Architecture
Practical Tooling Configurations for Secure AI-Assisted Development
Overview
"Vibe coding" describes the practice of rapidly generating code with AI assistants. This guide provides the practical tooling configurations and workflows needed to catch the security and quality issues that AI-generated code often introduces.
Pre-Commit Hooks
Using Husky and lint-staged to enforce quality before code enters the repository:
- Husky: Git hooks manager for running checks before commits
- lint-staged: Run linters only on staged files for speed
- Gitleaks: Detect and prevent hardcoded secrets
- detect-secrets: Baseline-aware secret detection
Dependency Verification
Prevent "Dependency Hallucination" attacks:
- dep-hallucinator: Verify packages exist before installation
- lettucedetect: Check package metadata against registries
- npm audit / pip audit: Scan for known vulnerabilities
Static Analysis (SAST)
- Snyk Code: Real-time security feedback in IDE
- SonarQube: AI Code Assurance quality gates
- ESLint / Ruff: Strict linting to catch dangerous patterns
Architectural Enforcement
- ArchUnit (Java/Kotlin): Enforce Hexagonal/Onion architecture
- Dependency-Cruiser (JS/TS): Prevent circular dependencies
- Deply (Python): Enforce naming conventions and import rules
Meta-Testing
- Stryker (JS): Mutation testing to verify test quality
- Pitest (Java): Mutation testing for JVM languages
- Hypothesis (Python): Property-based testing
- fast-check (JS): Property-based testing for JavaScript