AI-Powered Code Risk Assessment

Know Your Risk
Before Production

Stop shipping AI-generated code blindly. Jumbi scans your vibe-coded projects for security vulnerabilities, technical debt, and hidden risks - giving you a quantified risk score in seconds.

Free for public repos
No credit card required
Results in under 30s
jumbi-cli v1.2.0
2.4M+
Lines Analyzed
12K+
Repos Scanned
98%
Accuracy Rate
<30s
Avg Scan Time
Features

Built for the AI Code Era

Traditional code analysis tools miss AI-specific patterns. Jumbi is designed from the ground up to catch the unique risks of vibe-coded projects.

Deep Code Analysis

AI-powered scanning that understands context, patterns, and intent - not just syntax. Detects hallucinated APIs, phantom imports, and dead code paths unique to AI generation.

Security Vulnerability Detection

Identifies hardcoded secrets, SQL injection risks, XSS vectors, and insecure defaults that AI assistants commonly introduce. Goes beyond OWASP top 10.

Quantified Risk Scoring

Get a clear 0-100 risk score across four dimensions: Security, Code Quality, Dependencies, and Test Coverage. Know exactly where you stand before shipping.

Instant Reports

Comprehensive risk assessments delivered in under 30 seconds. Paste code, upload files, or connect your GitHub repo for immediate analysis.

AI Pattern Detection

Specialized detection for patterns typical of AI-generated code: TODO placeholders, console.log debugging, ts-ignore suppression, and copy-paste antipatterns.

Technical Debt Tracking

Measure the hidden cost of vibe-coded shortcuts. Track debt over time, get remediation roadmaps, and estimate the engineering hours needed for rescue.

How It Works

Three Steps to Safer Code

From code submission to actionable insights in under 30 seconds. No configuration required.

STEP 01

Connect Your Code

Paste code directly, upload files, or connect your GitHub repository. Jumbi supports JavaScript, TypeScript, Python, and more.

STEP 02

AI Analyzes Risks

Our engine scans for security vulnerabilities, code quality issues, dependency risks, and AI-specific antipatterns in seconds.

STEP 03

Get Actionable Report

Receive a quantified risk score with detailed breakdowns, prioritized issues, and step-by-step remediation guidance.

Risk Assessment Report

acme/webapp-v2

High Risk
67/100
Security Vulnerabilities78/100
Code Quality62/100
Dependency Health71/100
Test Coverage23/100

12 critical issues require immediate attention

Including 3 hardcoded API keys, 2 SQL injection vectors, and 7 missing error boundaries

Live Demo

Actionable Risk
Intelligence

Every assessment delivers a comprehensive risk profile with a quantified 0-100 score. See exactly where your code falls short and what to fix first.

  • Weighted scoring across 4 risk dimensions
  • Prioritized issues ranked by severity and impact
  • Step-by-step remediation guidance for each finding
  • AI-generated code pattern identification
  • Historical trend tracking across assessments
Risk Dimensions

Comprehensive Risk Analysis

We analyze your codebase across four critical dimensions to give you a complete picture of your risk exposure before code reaches production.

Code Quality

Structural integrity, maintainability, and adherence to best practices

62

Common issues detected

Copy-paste antipatternsInconsistent coding styleMissing error handlingDead code paths

Security Vulnerabilities

Security flaws commonly introduced by AI code generation tools

78

Common issues detected

Hardcoded secretsSQL injection risksXSS vulnerabilitiesInsecure defaults

Technical Debt

Hidden costs of shortcuts and the long-term maintenance burden

55

Common issues detected

Tight couplingMissing test suitesUndocumented APIsPhantom dependencies

Dependency Risks

Third-party package security, maintenance status, and license compliance

71

Common issues detected

Outdated packagesAbandoned librariesLicense conflictsKnown CVEs
Testimonials

Trusted by Engineering Teams

Teams shipping AI-assisted code to production rely on Jumbi to catch what other tools miss.

Jumbi caught 14 critical security issues in our AI-generated codebase that our existing CI pipeline completely missed. It paid for itself on day one.
SC

Sarah Chen

CTO, NexaFlow

We were about to ship a vibe-coded MVP to production. Jumbi's risk score of 82 made us pause and fix issues that would have cost us weeks of downtime.
MR

Marcus Rivera

Lead Engineer, Stackform

The AI pattern detection is incredibly accurate. It flags the exact kind of lazy code that ChatGPT and Copilot tend to generate. Essential for any serious team.
PS

Priya Sharma

VP Engineering, CloudBase

Pricing

Simple, Transparent Pricing

Start free and scale as your codebase grows. No hidden fees, no surprises.

Starter

For individual developers exploring AI-assisted development

$0/month
  • 5 assessments per month
  • Public repositories only
  • Basic risk report
  • Community support
  • Standard scan speed
Start Free
Most Popular

Pro

For teams shipping AI-generated code to production

$49/month
  • Unlimited assessments
  • Private repositories
  • Detailed remediation steps
  • CI/CD integration
  • Priority scan speed
  • API access
  • Email support
Start Pro Trial

Enterprise

For organizations with advanced security requirements

Custom
  • Everything in Pro
  • Self-hosted deployment
  • Custom rules engine
  • SSO & SAML
  • Dedicated support
  • SLA guarantee
  • Audit logging
Contact Sales
FAQ

Frequently Asked Questions

Don't Ship Risk to Production

Every day you wait, your vibe-coded project accumulates more technical debt and security vulnerabilities. Get your risk assessment now and ship with confidence.

Free for public repos. No credit card required.