prodlint

prodlint

Production readiness for vibe-coded apps.

Static analysis for vibe-coded apps. Flags the security, reliability, performance, and AI quality issues that Cursor, v0, Bolt, and Copilot create — hallucinated imports, missing auth, hardcoded secrets, unvalidated server actions, and more. Zero config, no LLM, 52 rules.

npx prodlint

  prodlint v0.10.2
  Scanned 148 files · 2 critical · 5 warnings · 1 info

  src/app/api/checkout/route.ts
    12:1  INFO  No rate limiting — anyone could spam this endpoint and run up your API costs  rate-limiting
    28:5  WARN  Empty catch block silently swallows error  shallow-catch

  src/actions/submit.ts
    5:3   CRIT  Server action uses formData without validation  next-server-action-validation
      ↳ Validate with Zod: const data = schema.safeParse(Object.fromEntries(formData))

  src/lib/db.ts
    1:1   CRIT  Package "drizzle-orm" is imported but not in package.json  hallucinated-imports

  Scores
  security        72 ████████████████░░░░  (8 issues)
  reliability     85 █████████████████░░░  (4 issues)
  performance     95 ███████████████████░  (1 issue)
  ai-quality      90 ██████████████████░░  (3 issues)

  Overall: 82/100 (weighted)

  2 critical · 5 warnings · 4 info

Why?

Vibe coding is the fastest way to build. Shipping fast means knowing your code is production-ready — not just that it compiles. Hardcoded secrets, hallucinated packages, missing auth, and XSS vectors pass type-checks and look correct — but they aren't ready for production.

prodlint checks what TypeScript and ESLint don't: whether your vibe-coded app is ready for production.

Install

npx prodlint                              # Run directly (no install)
npx prodlint ./my-app                     # Scan specific path
npx prodlint --json                       # JSON output for CI
npx prodlint --sarif                      # SARIF 2.1.0 for GitHub Code Scanning
npx prodlint --summary                    # Quick pass/fail + top 3 blockers
npx prodlint --profile startup            # Only critical findings
npx prodlint --profile strict             # All findings including info
npx prodlint --baseline .prodlint-baseline.json   # Only new findings
npx prodlint --ignore "*.test.ts"         # Ignore patterns
npx prodlint --min-severity warning       # Only warnings and criticals
npx prodlint --quiet                      # Suppress badge output

Or install it:

npm i -D prodlint     # Project dependency
npm i -g prodlint     # Global install

52 Rules across 4 Categories

Security (27 rules)

Reliability (11 rules)

Performance (6 rules)

AI Quality (8 rules)

Smart Detection

prodlint avoids common false positives:

• AST parsing — Babel-based analysis for 12 rules (imports, catch blocks, redirects, SSRF, path traversal, JWT, HTML injection, hydration, transactions, env leaks, loops, SQL) with regex fallback
• Monorepo support — npm/yarn/pnpm workspace dependencies resolved automatically
• Framework awareness — Prisma, Drizzle, Supabase, Knex, and Sequelize whitelists prevent false SQL injection flags
• Middleware detection — Clerk, NextAuth, Supabase middleware detected — auth findings downgraded
• Block comment awareness — patterns inside /* */ are ignored
• Path alias support — @/, ~/, and tsconfig paths aren't flagged as hallucinated imports
• Route exemptions — auth, webhook, health, and cron routes are exempt from auth/rate-limit checks
• Test/script file awareness — lower severity for non-production files
• Fix suggestions — findings include actionable fix hints with remediation code

Scoring

Each category starts at 100. Deductions per finding:

Diminishing returns: after 30 points deducted in a category, further deductions are halved; after 50, quartered.

Weighted overall: security 40%, reliability 30%, performance 15%, ai-quality 15%. Floor at 0. Exit code 1 if any critical findings exist.

GitHub Action

Add to .github/workflows/prodlint.yml:

name: Prodlint
on: [pull_request]

jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: prodlint/prodlint@v1
        with:
          threshold: 50

Posts a score breakdown as a PR comment and fails the build if below threshold. Each release of the action runs its matching prodlint version, so pinning the action (@v1, a version tag, or a commit SHA) also pins the scanner.

SARIF + GitHub Code Scanning

Upload prodlint results to GitHub's Security tab:

- name: Run prodlint
  run: npx prodlint --sarif > prodlint.sarif

- name: Upload SARIF
  uses: github/codeql-action/upload-sarif@v4
  with:
    sarif_file: prodlint.sarif
    category: prodlint

Baseline for Existing Projects

Adopt prodlint gradually without drowning in pre-existing findings:

# Save current state as baseline
npx prodlint --baseline-save .prodlint-baseline.json

# CI only fails on NEW findings
npx prodlint --baseline .prodlint-baseline.json

MCP Server

Use prodlint inside Cursor, Claude Code, or any MCP-compatible editor:

Claude Code:

claude mcp add prodlint -- npx -y -p prodlint prodlint-mcp

Cursor / Windsurf:

{
  "mcpServers": {
    "prodlint": {
      "command": "npx",
      "args": ["-y", "-p", "prodlint", "prodlint-mcp"]
    }
  }
}

-p prodlint runs the MCP server straight from the prodlint package, so you always get the current scanner.

Ask your AI: "Run prodlint on this project" and it calls the scan tool directly.

Site Score

Check any deployed website for AI agent-readiness — 14 checks covering emerging standards like llms.txt, TDMRep, AgentCard, AI-Disclosure, HTTP Signatures (RFC 9421), and more.

npx prodlint --web example.com
npx prodlint --web example.com --json     # JSON output

  prodlint site score
  example.com · 14 checks

  Score: 42 C  ████████░░░░░░░░░░░░

  ✗ AI-Disclosure Header          0/10  No AI-Disclosure header found.
  ✗ Content-Usage Directives      0/10  No Content-Usage directives found.
  ✗ TDMRep                        0/10  No TDMRep found.
  ✗ A2A AgentCard                  0/5  No agent-card.json found.
  ✗ ai.txt                         0/5  No ai.txt found at site root.
  ! llms.txt                       2/5  llms.txt found but missing key sections.
  ✓ robots.txt                   10/10  robots.txt found with 15 rules.
  ✓ Sitemap                      10/10  Valid sitemap with 42 URLs.
  ✓ Structured Data              10/10  Found JSON-LD structured data.
  ✓ OpenGraph                    10/10  Complete OpenGraph tags found.
  ✓ Page Speed                    5/5   Loaded in 0.8s.
  ✓ AI Bot Directives             5/5   AI-specific bot rules found.
  ✓ WebMCP Tools                   0/5  No WebMCP tools detected.

  7 passed · 5 failed · 1 warnings

  Full results: https://prodlint.com/score?url=example.com

Or check your score interactively at prodlint.com/score.

For AI Tools

• LLM-friendly docs: prodlint.com/llms.txt — concise project summary for LLMs
• Full reference: prodlint.com/llms-full.txt — all 52 rules with details
• MCP setup guide: prodlint.com/mcp — detailed editor setup for Claude Code, Cursor, Windsurf

prodlint is designed specifically for AI-generated code patterns. Every rule checks for production issues that AI coding tools consistently create — not style nits.

Suppression

Suppress a single line:

// prodlint-disable-next-line secrets
const key = "sk_test_example_for_docs"

Suppress an entire file (place at top):

// prodlint-disable secrets

Programmatic API

import { scan } from 'prodlint'

const result = await scan({ path: './my-project' })
console.log(result.overallScore) // 0-100
console.log(result.findings)     // Finding[]

Badge

[![prodlint](https://img.shields.io/badge/prodlint-85%2F100-brightgreen)](https://prodlint.com)

License

MIT