AI Code Audit & Production Readiness

Is Your AI-Generated Code Ready for Production?

AI coding tools can help you build faster, but speed without engineering review can create security risks, hidden bugs, scalability issues, and technical debt.

We audit AI-generated and existing code to identify what needs to change before you put it in front of real users.

Audit My Code
Audit Snapshot
  • Code Quality2 issues
  • Security3 vulnerabilities
  • PerformancePass
  • AI-Generated Code Risks5 flags
  • Production ConfigPass
01 — What We Audit

We Review What Actually Matters for Production

We review your application across the areas that matter most for production.

Code Quality

Architecture, maintainability, duplication, dependencies, and technical debt.

Security

Authentication, authorization, API exposure, secrets, vulnerabilities, and data protection.

Performance & Scalability

Database queries, APIs, frontend performance, bottlenecks, and infrastructure risks.

AI-Generated Code Risks

Inconsistent patterns, hallucinated implementations, missing edge cases, fragile logic, and unnecessary complexity.

Production Configuration

Environment variables, deployment setup, logging, monitoring, error handling, and CI/CD.

Experts in AI-Powered Development

We Know How to Build With AI — Not Just Code With AI.

Our engineers use leading AI development and code-generation platforms to accelerate prototyping, development, testing, and iteration, while applying senior engineering judgment to make the final product production-ready.

Whether you built your MVP or product with any AI code tool, we can fix it for you.

CursorClaude CodeGitHub CopilotOpenAI CodexBolt.newLovablev0

From AI-generated code to production-ready software.

We know how to choose the right AI coding tool for the task, combine multiple tools when needed, and validate the output with experienced engineering practices.

02 — From Audit to Production Readiness

Our Process

01

Audit

We analyze the codebase, architecture, dependencies, infrastructure, and critical workflows.

02

Prioritize

We separate critical production blockers from improvements that can wait.

03

Fix

Our engineers remediate high-risk issues, refactor problematic code, and strengthen the architecture.

04

Validate

We test security, performance, reliability, and critical user journeys.

Outcome: A clear, prioritized roadmap and a production-ready codebase.

03 — What You Get

A Clear Picture of What's Safe to Ship

Production Readiness Score

A clear view of where your application stands today.

Risk & Issue Report

Critical bugs, security issues, architectural risks, and technical debt.

Architecture Review

Assessment of whether the current foundation can support your expected users and growth.

Remediation Plan

Prioritized fixes with recommended implementation steps.

Production Checklist

Deployment, security, monitoring, testing, backups, and operational readiness.

Know what is safe to ship, and what isn't.

Frequently Asked Questions

What does an AI code audit check?

Code quality (architecture, maintainability, duplication, technical debt), security (auth, API exposure, secrets, vulnerabilities), performance and scalability, AI-generated code risks (hallucinated implementations, missing edge cases), and production configuration (logging, monitoring, CI/CD).

What are "AI-generated code risks"?

Inconsistent patterns, hallucinated implementations, missing edge cases, fragile logic, and unnecessary complexity that AI coding tools can introduce when output isn't reviewed carefully.

What do we get at the end of an audit?

A production readiness score, a risk and issue report, an architecture review, a prioritized remediation plan, and a production checklist covering deployment, security, monitoring, testing, and backups.

Do you just report issues, or fix them too?

Both. After the audit and prioritization, our engineers remediate high-risk issues, refactor problematic code, and validate security, performance, reliability, and critical user journeys before sign-off.

Which AI coding tools do you review code from?

Code built with Cursor, Claude Code, GitHub Copilot, OpenAI Codex, Bolt.new, Lovable, and v0, as well as traditionally written code.

Ready to Build Software That Fits Your Business Perfectly?

Tell us what's not working today. We'll help you explore the right solution and build software that drives real impact.

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Tell us what you're working on. We'll tell you what's possible, straight, no fluff.