Engineering Audits for AI-Generated Codebases
AI Code Review & Quality Audit
Gain clarity on the security, architecture, and maintainability of your AI-generated software. A comprehensive, human-led engineering review for projects built with Claude Code, Cursor, and modern AI IDEs.
What We Inspect in Your Codebase
An exhaustive audit across 6 fundamental software engineering disciplines.
1. System Architecture & Patterns
Reviewing separation of concerns, component decomposition, Next.js Server vs Client boundary correctness, Laravel service layers, and state management consistency.
2. Security & Access Control
Auditing authentication tokens, session management, Row-Level Security (RLS) policies, input sanitization, and preventing client-side secret exposure.
3. Database Schema & Query Optimization
Checking foreign keys, relationship integrity, database indexes, migration hygiene, and eliminating N+1 query loops.
4. API Design & Webhook Reliability
Validating request schemas, HTTP status codes, rate limiting, error responses, and webhook cryptographic signature verifications.
5. Dependency & Supply Chain Health
Scanning for vulnerable, deprecated, or bloated npm/composer packages hallucinated or accidentally introduced during rapid AI prompting.
6. Error Handling & Observability
Eliminating silent catch blocks, implementing error boundaries, logging mechanisms, and telemetry monitoring.
What You Receive in the Audit Package
- Detailed written audit report categorized by Critical, High, Medium, and Low severity
- Exact file-and-line code references pointing out vulnerabilities and bottlenecks
- Concrete refactoring recommendations with copy-paste code snippets or pull requests
- Actionable roadmap prioritizing quick wins vs deep architectural updates
- Optional 1-on-1 walkthrough video call to discuss findings with your team
Frequently Asked Questions
Common questions regarding our engineering code reviews.
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