What Is a Vibe Coding Audit?
A vibe coding audit is a structured, expert review of an application that was built — fully or partly — using AI coding tools like Cursor, Claude, Lovable, Bolt, Replit, or GitHub Copilot. It examines security, architecture, reliability, and production-readiness with specific knowledge of how AI-generated code fails.
What Does a Code Audit Include?
A professional code audit is more than running a linter. It is a comprehensive expert review of your application's source code, architecture, and infrastructure — with specific focus on the risks that AI-generated code introduces. Here is the complete breakdown of what a code audit covers.
How Much Does a Code Audit Cost?
Code audit pricing depends on codebase size, language stack, and depth of review required. For startups and vibe-coded apps, most audits fall in a fixed-price range that is a small fraction of what a single security incident, failed enterprise deal, or data breach would cost.
What Are the Security Risks of Vibe Coding?
Vibe coding — building apps with AI tools like Cursor, Claude, Lovable, Bolt, Replit, or GitHub Copilot — ships features faster than any developer team could. It also ships a predictable set of security vulnerabilities that AI tools generate consistently, across every language and framework, because AI models optimize for working code, not secure code.
How Do You Secure a Vibe-Coded App?
Securing a vibe-coded app before launch requires addressing a specific set of vulnerabilities that AI coding tools consistently produce. This guide covers the most important steps — in priority order — so you can ship with confidence.
Is My Vibe-Coded App Production Ready?
Most vibe-coded apps are demo-ready long before they are production-ready. The gap between the two is where startups lose customers, fail enterprise deals, and get hacked. Here is the complete production readiness checklist for apps built with AI coding tools.
How Do You Audit AI-Generated Code?
Auditing AI-generated code requires a different methodology than auditing human-written code. AI tools produce consistent failure patterns — the same classes of bugs appear across every project, every language, and every framework. Knowing what to look for makes the audit faster and more thorough.
What Authentication Issues Do Vibe-Coded Apps Have?
Authentication and authorization bugs are the most common critical finding in vibe-coded app audits. AI tools generate login flows that work in the happy path but fail under adversarial conditions. These are the patterns we find most often.
Is Claude Code (the AI Tool) Secure to Use for Building Apps?
Claude Code (by Anthropic) is one of the most capable AI coding tools available. It generates high-quality, well-structured code and is widely used to build entire SaaS apps, internal tools, and AI-native products. But like all AI coding tools, apps built with Claude have a predictable set of security patterns to watch for — and a specific class of AI-layer vulnerabilities if you are building on the Claude API itself.
Is OpenClaw Secure? How to Audit Your OpenClaw Setup
OpenClaw lets non-technical founders run powerful AI agents on a VPS without writing infrastructure code. That's a major capability unlock — and it comes with a specific set of security risks that most OpenClaw users don't know about until something goes wrong. Here is what to watch for and how to audit your setup.
Do Startups Need a Code Audit? When and Why
Most startups don't think about code audits until something forces the issue — a security incident, a failed enterprise deal, or an investor asking for technical due diligence. Getting ahead of that is the point. Here is when a startup genuinely needs a code audit, and what it protects.
Is Lovable Secure? Security Risks in Lovable-Built Apps
Lovable.dev is one of the fastest-growing AI app builders — founders use it to ship full-stack applications in hours. The code it generates is functional and often well-structured. But Lovable apps consistently have a specific set of security patterns that need to be addressed before those apps handle real customers or real money.
Is Bolt.new Secure? Security Risks in Bolt-Built Apps
Bolt.new (by StackBlitz) lets founders build and deploy full-stack apps in the browser with AI. It is fast, impressive, and generates working apps quickly. Like all vibe coding tools, the apps it generates have a consistent set of security patterns that need expert review before real users and real data are involved.
Is Cursor AI Safe? Security in Apps Built With Cursor
Cursor is the dominant AI coding IDE used by technical founders and developers to build production applications. Unlike one-click app builders, Cursor gives developers fine-grained control over the code. But fine-grained control does not mean security by default — Cursor generates the same class of security vulnerabilities as other AI tools, just with more control over the surrounding code.
What Are the Security Risks of MCP Servers?
MCP (Model Context Protocol), developed by Anthropic, is rapidly becoming the standard way to extend AI coding tools and agents with external capabilities — file access, database queries, API calls, web browsing. As MCP adoption explodes, the security implications of MCP servers are becoming one of the most important new attack surfaces in AI development.
What Are the Security Risks of AI Agents?
AI agents — systems where an LLM autonomously takes actions, calls tools, browses the web, writes files, and executes code — represent the most exciting and most dangerous category of AI application. The same autonomy that makes agents powerful makes security mistakes catastrophic. Here is the full picture of AI agent security risks.
What Is Vibe Coding? And Why Does It Create Security Risks?
Vibe coding is a term coined by AI researcher Andrej Karpathy in early 2025 to describe the practice of building software by describing what you want to an AI — and letting the AI write the code. Instead of understanding every line, you iterate by feel: describe a feature, review the result, tweak the prompt, ship. It has enabled a generation of non-technical and semi-technical founders to build and launch real products.