Real-time security for AI coding

VibeLint is the bouncer between your AI and your codebase.Risky code doesn't get in.

AI-generated code ships fast and silently leaks secrets, leaves endpoints open, and introduces injection risks. VibeLint intercepts it before it touches your files.

Loading…See how it works

Works withCursorClaude CodeWindsurfVS CodeAntigravity

See examples:

cursor — auth.ts

AI generates code

const apiKey = "sk-ant-api03-rk8mN2xP...";

fetch("/api/data", {
  headers: { Authorization: apiKey }
});

↓ VibeLint intercepts before write

Vulnerability detected

Hard-coded Anthropic API key

CRITICAL

Key exposed in source. Will appear in version control and server logs.

Write blockedIntercepted before file was saved

↓ Auto-fix applied

Clean code returned to your IDE

Suggested fix✓ Applied automatically

const apiKey = process.env.ANTHROPIC_API_KEY;

11 detectors

<100ms per scan

pre-write interception

cursor — db.ts

AI generates code

const query = `SELECT * FROM users WHERE id = '${userId}'`;
await pool.query(query);

↓ VibeLint intercepts before write

Vulnerability detected

SQL injection via string concatenation

CRITICAL

User input embedded in SQL. Attackers can alter the query, bypass auth, or exfiltrate data.

Write blockedIntercepted before file was saved

↓ Auto-fix applied

Clean code returned to your IDE

Suggested fix✓ Applied automatically

const query = 'SELECT * FROM users WHERE id = ?';
await pool.query(query, [userId]);

11 detectors

<100ms per scan

pre-write interception

cursor — session.ts

AI generates code

import jwt from 'jsonwebtoken';

const payload = jwt.decode(token) as { sub: string };
const userId = payload.sub;

↓ VibeLint intercepts before write

Vulnerability detected

JWT decoded without verification

CRITICAL

Token parsed without signature check. Attackers can forge claims and impersonate users.

Write blockedIntercepted before file was saved

↓ Auto-fix applied

Clean code returned to your IDE

Suggested fix✓ Applied automatically

const payload = jwt.verify(token, process.env.JWT_SECRET!) as { sub: string };

11 detectors

<100ms per scan

pre-write interception

cursor — routes.ts

AI generates code

app.post('/api/login', async (req, res) => {
  const { email, password } = req.body;
  return auth(email, password);
});

↓ VibeLint intercepts before write

Vulnerability detected

Missing rate limiting on auth endpoint

HIGH

Write blockedIntercepted before file was saved

↓ Auto-fix applied

Clean code returned to your IDE

Suggested fix✓ Applied automatically

app.post('/api/login', loginRateLimit, async (req, res) => { ... });

11 detectors

<100ms per scan

pre-write interception

cursor — llm.ts

AI generates code

await openai.chat.completions.create({
  messages: [{ role: 'user', content: userMessage }],
});

↓ VibeLint intercepts before write

Vulnerability detected

Unsanitized user input in LLM prompt

CRITICAL

Raw user text sent to the model. Enables prompt injection, instruction override, and data exfiltration.

Write blockedIntercepted before file was saved

↓ Auto-fix applied

Clean code returned to your IDE

Suggested fix✓ Applied automatically

messages: [
  { role: 'system', content: SYSTEM_PROMPT },
  { role: 'user', content: sanitize(userMessage) },
],

11 detectors

<100ms per scan

pre-write interception

Trusted by developers shipping with AI

“I found my OpenAI key hardcoded in production. VibeLint would have caught it before it shipped.”

The #1 launch killer for vibe-coded projects?
Security holes you never wrote.

When you're building with AI, you move fast. The agent writes the code, you ship. But AI models don't think about security — they optimize for working code. What lands in your codebase can look perfectly fine and still be a disaster waiting to happen.

Hard-coded API keysSQL injection via f-stringsMD5 password hashingPrompt injection risksLLM output into eval()Open API endpointsWildcard CORS policyJWT without verificationMissing rate limitingCredentials in URL params

The problem

AI code works but isn't safe. 'Working' and 'secure' are two different things — AI optimizes for the first one only.
Nothing flags it. Insecure code lands silently. No error, no warning, no crash — until something breaks in production.
You can't review it all. When your AI writes thousands of lines a day, manual review isn't a real option anymore.

The fix

VibeLint sits between your AI and your files. It runs as an MCP server inside your IDE — every write goes through it first.
Risky code gets blocked before it saves. Not flagged after the fact — intercepted before it ever touches your project.
Auto-fixes applied instantly. Most issues get a suggested fix returned directly to your AI agent. You keep shipping fast.

None of this requires a code review, a security audit, or slowing down your workflow. VibeLint runs automatically on every AI write — you never have to think about it.

How it works

Three steps. Zero extra work.

VibeLint runs automatically inside your IDE. You keep prompting your AI the same way you always have.

AI writes code in your IDE

You describe a feature. Your AI generates it.

→

VibeLint intercepts automatically

Before anything hits your files, VibeLint scans it.

→

Violations flagged. Auto-fixed.

Clean, secure code lands in your project.

VibeLint runs automatically on every AI-generated snippet in real time. You can also ask your agent to scan the entire project or specific files whenever you want. Examples:

You

Run a VibeLint security audit for package.json

VibeLint

10 vulnerabilities (7 high, 3 moderate).

High:

tar — directory traversal, arbitrary file overwrite (patched in ≥7.5.2).

Moderate:

Next.js — DoS via Image Optimizer, unbounded memory (patched in ≥16.1.5).

Recommendation: Update Next.js and run pnpm audit --fix where applicable.

What it catches

What VibeLint catches before your AI saves it.

11 detectors covering the most common — and most dangerous — patterns in AI-generated code.

API keys, tokens, and credentials hardcoded by your AI — the most common and most dangerous pattern. Appears in version control, server logs, and anywhere the file is shared.

Before — AI generated

const apiKey = "sk-ant-api03-rK8mN2xP...";

const stripe = "sk_live_4eC39HqLyjWDs...";

After — VibeLint fix

const apiKey = process.env.ANTHROPIC_API_KEY;

const stripe = process.env.STRIPE_SECRET_KEY;

25+ languages includingPythonJavaScriptTypeScriptGoJavaRubyPHPRustC / C+++ more via Semgrep

Privacy by design

Your code stays on your machine. On every plan.

Unlike cloud-based scanners, VibeLint never sends your source code anywhere.

Runs 100% on your machine.

Zero cloud dependency. Scans happen locally, instantly.

Free

No code sent to any server — detection runs entirely in your local environment
No account required to start — install and scan immediately
Open source scanner — MIT licensed, inspect every line of detection logic
Core detectors included — secrets, injection, insecure auth

Dashboard insights. Zero code exposure.

Full detector suite plus a hosted dashboard — with nothing sensitive ever leaving your machine.

Pro

Everything in Free — all local scanning, full privacy
All 11 detectors — CORS, rate limiting, missing auth, prompt injection, LLM output execution, vulnerable dependencies
Only scan metadata syncs — issue type, severity, line number. No file contents, no raw code, ever
Security score trending — 30-day score chart across all your projects

Also included

Per-project scan history and issue breakdown
Weekly security digest email every Monday
Fix hints for every issue detected
Works with Cursor, Claude Code, Windsurf, VS Code

Your source code is never transmitted — on any plan, at any time. VibeLint scans locally and only reports what was found, never what was in your files.

Pricing

Choose how you want to start with VibeLint

Start free with local protection in minutes. Upgrade to Pro for the full detector library, dashboard analytics, and cloud logs — without uploading your source code.

Free

For individual developers and open-source projects

$0forever

✓Local MCP scanner
✓Local protection
✓Core detections
✓Pre-commit hook
✓Hard-coded secrets
✓Insecure authentication
✓SQL & NoSQL injections
✓Framework misconfiguration
✓CORS misconfiguration
✓XSS / DOM injection
✓Code remediation

Start free

Recommended

Pro

Best for developers who want full coverage and visibility

$19.99/month

✓Everything in Free
✓Fuller coverage
✓Priority support
✓Security score
✓Detector breakdown analytics
✓Scan/logs history
✓All pro detectors
✓Dashboard & analytics
✓Cloud logs
✓Prompt injections

Get Pro

Teams and Enterprise plans are on the full pricing page.

Why VibeLint is a different layer

Traditional scanners help after code is written. VibeLint adds protection at the moment AI-generated code is produced.

Feature	VibeLint	Legacy scanners(e.g. Snyk, GHAS)	Traditional SAST(e.g. Semgrep Pro)
Scan timing	Pre-write (intercepts AI & editor output)	Post-write / pull request	Post-write / CI/CD
Workflow speed	Fast feedback at write time	Slows PRs and build pipelines	Fast once CI runs; depends on triggers
Primary focus	AI risks — prompt injection, unsafe LLM patterns, MCP misuse	Traditional bugs in human-written code	General application security
IDE integration	Native MCP (Cursor, Windsurf, Claude, VS Code–compatible)	Standard IDE / SCM extensions	Standard IDE / CI extensions
Code privacy	100% local scanning; raw code never leaves your machine	Often cloud-synced analysis	Often cloud-synced on Pro / enterprise tiers
Pricing	Free OSS core / $19.99/mo or $199/yr Pro	Enterprise-heavy pricing	Enterprise-focused tiers
Complements your stack	Use alongside Snyk or Semgrep — different layer (AI + pre-write)	Overlaps with repo & dependency scanning	Overlaps with policy & custom rules in CI

Frequently asked questions

Everything else you might want to know before getting started.

No. VibeLint runs as an MCP server inside your IDE and intercepts AI-generated code automatically. You keep prompting Cursor, Claude Code, or Windsurf exactly the same way you always have. No commands to run, no buttons to click, no workflow changes — it's always watching in the background.

Never. VibeLint scans your code locally on your machine. On the free plan nothing leaves your machine at all. On Pro, only scan metadata syncs to your dashboard — issue type, severity, and line number. Your actual source code, file contents, and project structure are never transmitted anywhere, on any plan.

Yes. VibeLint auto-detects Cursor during installation and writes the correct MCP config for you. Same for Windsurf and Claude Desktop. If you use VS Code or another MCP-compatible editor, you add one config block manually — takes about 30 seconds. Full instructions at vibelint.dev/setup.

No. VibeLint is designed to fail open — if the MCP server is unreachable or something goes wrong, your IDE continues normally. You lose the security scanning temporarily but you're never locked out of writing code. We're also adding a public status page at status.vibelint.dev so you can check uptime anytime.

No — and the difference matters. ESLint and similar tools run after code is already written to your files. VibeLint intercepts AI-generated code before it touches your project. It also catches a different class of problems: hard-coded secrets, prompt injection, LLM output piped into eval() — patterns that traditional linters don't look for because they weren't written for AI-generated code.

Free gives you the core detectors — secrets, injection, insecure auth, CORS, and framework misconfiguration — running locally with no account required. Pro adds all 11 detectors including prompt injection, LLM output execution, missing rate limiting, and vulnerable dependencies, plus a hosted dashboard with your security score, scan history, per-project tracking, and a weekly digest email. Pro is $19/month.

Yes — those are VibeLint's primary languages with the deepest custom detector coverage. It also supports 25+ other languages including Go, Java, Ruby, C, C++, PHP, Kotlin, Swift, and Rust via Semgrep-powered rules. The security patterns it catches — hard-coded secrets, injection flaws, broken auth, prompt injection — apply across all of them.

VibeLint catches it before the commit happens. It includes an optional Git pre-commit hook that scans staged files and rejects the commit if violations are found. So even if something slipped through during development, it gets caught as a final safety net before it lands in your repository.

No. Scans run in under 100ms — they happen inline while your AI generates code. There's no separate build step, no waiting for a CI pipeline, and no context switching. In practice the overhead is invisible.

No — and it's not meant to. VibeLint is your first line of defense that catches the most common and most dangerous patterns AI models produce automatically. It dramatically reduces your attack surface. For production systems handling sensitive data you should still conduct proper security reviews and penetration testing. Think of VibeLint as the thing that makes those audits find a lot less.

Loading VibeLint...

Real-time security for AI coding

VibeLint is the bouncer between your AI and your codebase.Risky code doesn't get in.

AI-generated code ships fast and silently leaks secrets, leaves endpoints open, and introduces injection risks. VibeLint intercepts it before it touches your files.

Loading…See how it works

Works withCursorClaude CodeWindsurfVS CodeAntigravity

See examples:

cursor — auth.ts

AI generates code

const apiKey = "sk-ant-api03-rk8mN2xP...";

fetch("/api/data", {
  headers: { Authorization: apiKey }
});

↓ VibeLint intercepts before write

Vulnerability detected

Hard-coded Anthropic API key

CRITICAL

Key exposed in source. Will appear in version control and server logs.

Write blockedIntercepted before file was saved

↓ Auto-fix applied

Clean code returned to your IDE

Suggested fix✓ Applied automatically

const apiKey = process.env.ANTHROPIC_API_KEY;

11 detectors

<100ms per scan

pre-write interception

cursor — db.ts

AI generates code

const query = `SELECT * FROM users WHERE id = '${userId}'`;
await pool.query(query);

↓ VibeLint intercepts before write

Vulnerability detected

SQL injection via string concatenation

CRITICAL

User input embedded in SQL. Attackers can alter the query, bypass auth, or exfiltrate data.

Write blockedIntercepted before file was saved

↓ Auto-fix applied

Clean code returned to your IDE

Suggested fix✓ Applied automatically

const query = 'SELECT * FROM users WHERE id = ?';
await pool.query(query, [userId]);

11 detectors

<100ms per scan

pre-write interception

cursor — session.ts

AI generates code

import jwt from 'jsonwebtoken';

const payload = jwt.decode(token) as { sub: string };
const userId = payload.sub;

↓ VibeLint intercepts before write

Vulnerability detected

JWT decoded without verification

CRITICAL

Token parsed without signature check. Attackers can forge claims and impersonate users.

Write blockedIntercepted before file was saved

↓ Auto-fix applied

Clean code returned to your IDE

Suggested fix✓ Applied automatically

const payload = jwt.verify(token, process.env.JWT_SECRET!) as { sub: string };

11 detectors

<100ms per scan

pre-write interception

cursor — routes.ts

AI generates code

app.post('/api/login', async (req, res) => {
  const { email, password } = req.body;
  return auth(email, password);
});

↓ VibeLint intercepts before write

Vulnerability detected

Missing rate limiting on auth endpoint

HIGH

Write blockedIntercepted before file was saved

↓ Auto-fix applied

Clean code returned to your IDE

Suggested fix✓ Applied automatically

app.post('/api/login', loginRateLimit, async (req, res) => { ... });

11 detectors

<100ms per scan

pre-write interception

cursor — llm.ts

AI generates code

await openai.chat.completions.create({
  messages: [{ role: 'user', content: userMessage }],
});

↓ VibeLint intercepts before write

Vulnerability detected

Unsanitized user input in LLM prompt

CRITICAL

Raw user text sent to the model. Enables prompt injection, instruction override, and data exfiltration.

Write blockedIntercepted before file was saved

↓ Auto-fix applied

Clean code returned to your IDE

Suggested fix✓ Applied automatically

messages: [
  { role: 'system', content: SYSTEM_PROMPT },
  { role: 'user', content: sanitize(userMessage) },
],

11 detectors

<100ms per scan

pre-write interception

Trusted by developers shipping with AI

“I found my OpenAI key hardcoded in production. VibeLint would have caught it before it shipped.”

The #1 launch killer for vibe-coded projects?
Security holes you never wrote.

The problem

AI code works but isn't safe. 'Working' and 'secure' are two different things — AI optimizes for the first one only.
Nothing flags it. Insecure code lands silently. No error, no warning, no crash — until something breaks in production.
You can't review it all. When your AI writes thousands of lines a day, manual review isn't a real option anymore.

The fix

VibeLint sits between your AI and your files. It runs as an MCP server inside your IDE — every write goes through it first.
Risky code gets blocked before it saves. Not flagged after the fact — intercepted before it ever touches your project.
Auto-fixes applied instantly. Most issues get a suggested fix returned directly to your AI agent. You keep shipping fast.

None of this requires a code review, a security audit, or slowing down your workflow. VibeLint runs automatically on every AI write — you never have to think about it.

How it works

Three steps. Zero extra work.

VibeLint runs automatically inside your IDE. You keep prompting your AI the same way you always have.

AI writes code in your IDE

You describe a feature. Your AI generates it.

→

VibeLint intercepts automatically

Before anything hits your files, VibeLint scans it.

→

Violations flagged. Auto-fixed.

Clean, secure code lands in your project.

VibeLint runs automatically on every AI-generated snippet in real time. You can also ask your agent to scan the entire project or specific files whenever you want. Examples:

You

Run a VibeLint security audit for package.json

VibeLint

10 vulnerabilities (7 high, 3 moderate).

High:

tar — directory traversal, arbitrary file overwrite (patched in ≥7.5.2).

Moderate:

Next.js — DoS via Image Optimizer, unbounded memory (patched in ≥16.1.5).

Recommendation: Update Next.js and run pnpm audit --fix where applicable.

What it catches

What VibeLint catches before your AI saves it.

11 detectors covering the most common — and most dangerous — patterns in AI-generated code.

API keys, tokens, and credentials hardcoded by your AI — the most common and most dangerous pattern. Appears in version control, server logs, and anywhere the file is shared.

Before — AI generated

const apiKey = "sk-ant-api03-rK8mN2xP...";

const stripe = "sk_live_4eC39HqLyjWDs...";

After — VibeLint fix

const apiKey = process.env.ANTHROPIC_API_KEY;

const stripe = process.env.STRIPE_SECRET_KEY;

25+ languages includingPythonJavaScriptTypeScriptGoJavaRubyPHPRustC / C+++ more via Semgrep

Privacy by design

Your code stays on your machine. On every plan.

Unlike cloud-based scanners, VibeLint never sends your source code anywhere.

Runs 100% on your machine.

Zero cloud dependency. Scans happen locally, instantly.

Free

No code sent to any server — detection runs entirely in your local environment
No account required to start — install and scan immediately
Open source scanner — MIT licensed, inspect every line of detection logic
Core detectors included — secrets, injection, insecure auth

Dashboard insights. Zero code exposure.

Full detector suite plus a hosted dashboard — with nothing sensitive ever leaving your machine.

Pro

Everything in Free — all local scanning, full privacy
All 11 detectors — CORS, rate limiting, missing auth, prompt injection, LLM output execution, vulnerable dependencies
Only scan metadata syncs — issue type, severity, line number. No file contents, no raw code, ever
Security score trending — 30-day score chart across all your projects

Also included

Per-project scan history and issue breakdown
Weekly security digest email every Monday
Fix hints for every issue detected
Works with Cursor, Claude Code, Windsurf, VS Code

Your source code is never transmitted — on any plan, at any time. VibeLint scans locally and only reports what was found, never what was in your files.

Pricing

Choose how you want to start with VibeLint

Start free with local protection in minutes. Upgrade to Pro for the full detector library, dashboard analytics, and cloud logs — without uploading your source code.

Free

For individual developers and open-source projects

$0forever

✓Local MCP scanner
✓Local protection
✓Core detections
✓Pre-commit hook
✓Hard-coded secrets
✓Insecure authentication
✓SQL & NoSQL injections
✓Framework misconfiguration
✓CORS misconfiguration
✓XSS / DOM injection
✓Code remediation

Start free

Recommended

Pro

Best for developers who want full coverage and visibility

$19.99/month

✓Everything in Free
✓Fuller coverage
✓Priority support
✓Security score
✓Detector breakdown analytics
✓Scan/logs history
✓All pro detectors
✓Dashboard & analytics
✓Cloud logs
✓Prompt injections

Get Pro

Teams and Enterprise plans are on the full pricing page.

Why VibeLint is a different layer

Traditional scanners help after code is written. VibeLint adds protection at the moment AI-generated code is produced.

Feature	VibeLint	Legacy scanners(e.g. Snyk, GHAS)	Traditional SAST(e.g. Semgrep Pro)
Scan timing	Pre-write (intercepts AI & editor output)	Post-write / pull request	Post-write / CI/CD
Workflow speed	Fast feedback at write time	Slows PRs and build pipelines	Fast once CI runs; depends on triggers
Primary focus	AI risks — prompt injection, unsafe LLM patterns, MCP misuse	Traditional bugs in human-written code	General application security
IDE integration	Native MCP (Cursor, Windsurf, Claude, VS Code–compatible)	Standard IDE / SCM extensions	Standard IDE / CI extensions
Code privacy	100% local scanning; raw code never leaves your machine	Often cloud-synced analysis	Often cloud-synced on Pro / enterprise tiers
Pricing	Free OSS core / $19.99/mo or $199/yr Pro	Enterprise-heavy pricing	Enterprise-focused tiers
Complements your stack	Use alongside Snyk or Semgrep — different layer (AI + pre-write)	Overlaps with repo & dependency scanning	Overlaps with policy & custom rules in CI

Frequently asked questions

Everything else you might want to know before getting started.

VibeLint is the bouncer between your AI and your codebase.Risky code doesn't get in.

Hard-coded Anthropic API key

The #1 launch killer for vibe-coded projects?Security holes you never wrote.

The problem

The fix

How it works

AI writes code in your IDE

VibeLint intercepts automatically

Violations flagged. Auto-fixed.

What VibeLint catches before your AI saves it.

Your code stays on your machine. On every plan.

Runs 100% on your machine.

Dashboard insights. Zero code exposure.

Choose how you want to start with VibeLint

Free

Pro

Why VibeLint is a different layer

Frequently asked questions

VibeLint is the bouncer between your AI and your codebase.Risky code doesn't get in.

Hard-coded Anthropic API key

The #1 launch killer for vibe-coded projects?Security holes you never wrote.

The problem

The fix

How it works

AI writes code in your IDE

VibeLint intercepts automatically

Violations flagged. Auto-fixed.

What VibeLint catches before your AI saves it.

Your code stays on your machine. On every plan.

Runs 100% on your machine.

Dashboard insights. Zero code exposure.

Choose how you want to start with VibeLint

Free

Pro

Why VibeLint is a different layer

Frequently asked questions

The #1 launch killer for vibe-coded projects?
Security holes you never wrote.

The #1 launch killer for vibe-coded projects?
Security holes you never wrote.