Your code ships fast — but is it secure, maintainable, and built to scale? I review your codebase for security vulnerabilities, performance bottlenecks, technical debt, and architectural issues. Get a prioritized action plan from 12+ years of engineering experience.
Deep security review covering OWASP Top 10 — SQL injection, XSS, CSRF, authentication flaws, insecure direct object references, sensitive data exposure, and more. Every vulnerability is documented with severity rating (Critical/High/Medium/Low) and a specific remediation plan.
Identify bottlenecks slowing your application — N+1 database queries, missing indexes, inefficient loops, large bundle sizes, blocking renders, memory leaks, and unnecessary API calls. You get a prioritized list of optimizations with estimated impact per change.
Review of your system architecture, component structure, API design, database schema, caching strategy, and scalability patterns. Identify architectural anti-patterns before they become expensive problems, with recommendations aligned to your technology stack.
Quantify and prioritize your technical debt. I identify duplicated code, dead code, overly complex functions, missing test coverage, and outdated patterns — and provide a prioritized roadmap to systematically reduce debt without disrupting ongoing development.
Audit all npm, pip, composer, or other package dependencies for known CVEs, outdated versions, abandoned packages, and unnecessary bloat. Includes a recommended upgrade path and alternatives for deprecated or risky dependencies.
Specialised review for codebases built with GitHub Copilot, Cursor AI, Claude Code, ChatGPT, or other AI tools. AI-generated code often contains subtle logic errors, security oversights, and scalability issues that require expert human review before production deployment.
My code review covers: security vulnerability scanning (OWASP Top 10), performance bottleneck identification, code quality and maintainability assessment, architecture review, dependency audit for outdated or vulnerable packages, and a prioritized report of findings with actionable code-level recommendations. Every issue includes severity rating and a specific fix.
Timelines depend on codebase size. A typical web application (5,000–20,000 lines) takes 3–5 business days for a thorough review. Larger enterprise codebases or monorepos may take 1–2 weeks. I provide a timeline estimate after reviewing your repository structure, so you know exactly what to expect.
Yes — this is one of the most requested services. AI tools like GitHub Copilot, Cursor AI, and Claude Code produce code quickly but frequently introduce subtle security vulnerabilities, incorrect error handling, inefficient database queries, and scalability problems. I specialize in auditing AI-generated code to ensure it's production-safe, secure, and maintainable before you ship it.
I review code across: JavaScript/TypeScript (React, Next.js, Vue, Node.js, Express), Python (Django, FastAPI, Flask), PHP (Laravel, WordPress), and general web application security. I also review database schemas (PostgreSQL, MySQL, MongoDB), REST and GraphQL APIs, and infrastructure-as-code (Terraform, Docker Compose).
Don't wait for a security breach or performance crisis to find out. Get a thorough expert review and ship with confidence.