Vibe Coding Is Fast. Security Still Needs to Be Deliberate.

Vibe coding has changed how quickly people can turn an idea into working software.

You can describe a feature, let an AI coding agent generate the implementation, iterate on it, and have a working application surprisingly quickly.

But there is another question:

What happens when the code works perfectly but contains a security vulnerability?

A missing authorization check, an unsafe input flow, an exposed secret, a cross-tenant data issue, or an insecure API can remain invisible during normal development.

The problem isn't that AI-generated code is necessarily insecure.

The problem is that shipping fast without a security review can make security an afterthought.

Security Should Happen Before the Problem

This is where security auditing can become part of the development workflow.

Instead of waiting for a vulnerability to be discovered after deployment, developers can ask an AI coding agent to inspect the codebase before it becomes a production incident.

Cloudflare's open-source Security Audit Skill is designed for exactly this kind of workflow.

It turns a coding agent into a structured security auditor that can investigate a codebase and look for vulnerabilities based on actual source code and trust boundaries.

What Does the Cloudflare Security Audit Skill Do?

The skill doesn't simply run a checklist and report every suspicious line of code as a vulnerability.

It follows a multi-stage process:

1. Reconnaissance
   Understand the architecture, input surfaces, trust boundaries, and scope of the code being reviewed.

2. Security hunting
   Look for potential vulnerabilities across relevant attack classes and parts of the application.

3. Candidate validation
   Potential findings are independently investigated to determine whether they are actually security issues.

4. Structured findings
   Findings are categorized as confirmed, needing validation, or rejected instead of treating every suspicion as a vulnerability.

5. Independent verification
   Final findings are reviewed again to verify that the reported issue is actually supported by the source.

6. Security report
   The workflow produces structured reports describing the findings and the evidence behind them.

That distinction is important.

A good security audit isn't about producing the longest vulnerability list.

It's about finding real security problems with evidence and understanding how they can be fixed.

From "It Works" to "Is It Safe?"

Imagine you vibe-code a SaaS application.

The application has:

• User authentication
• APIs
• Multiple customers
• Admin functionality
• File uploads
• Database access
• Payment-related workflows

Everything appears to work.

You test the login.

You create a customer.

You add a project.

You upload a file.

You deploy it.

But what if a user can access another customer's data by changing an ID in an API request?

The application works exactly as designed from a functional perspective.

The security boundary, however, may be broken.

This is why security testing needs to look beyond:

"Does the feature work?"

and also ask:

"Can an untrusted user cross a security boundary they shouldn't be able to cross?"

Security Audit + Vibe Coding

This creates an interesting workflow for AI-assisted development:

Idea → Vibe Code → Test → Security Audit → Fix → Test Again → Ship

Instead of:

Idea → Vibe Code → Ship → Discover Security Problem Later

The Cloudflare skill can be installed using the Skills CLI:

npx skills add https://github.com/cloudflare/security-audit-skill \
  --skill security-audit