About Ranex
True vibe coding without worrying about AI hallucinations, security issues, or bugs.
The Story
In November 2025, while building web applications as a freelancer, I hit a wall. I'd been using AI coding assistants like Cursor and Windsurf since ChatGPT launched, and I loved the speed. But as my codebases grew larger, I burned through thousands of tokens trying to fix issues that AI couldn't solve.
The problem was clear: AI coding assistants are brilliant for small, simple code. But as projects scale, they lose context. They hallucinate. They introduce bugs. They create security vulnerabilities. And no amount of "AI-powered" tools could fix it—because you can't use AI to guide AI.
That's when I realized: humans should set the rules through proper logic. We need governance, not more AI. We need guardrails, not more power.
So I built Ranex—short for Ran(dom) + Execution—a real-time AI governance framework that adds fail-closed guardrails for AI-written code in FastAPI projects.
Our Mission
Help developers earn trust with AI coding by using Ranex AI governance to filter out bad code, security issues, hallucinations, and other issues.
Our Vision
Become the standard for AI coding governance, trusted by Fortune 500 companies and developers worldwide to ensure AI-generated code is safe, secure, and production-ready.
The Problem
AI Coding Assistants Are Great... Until They're Not
AI excels at small, isolated code snippets. But as your codebase grows, AI loses context. It starts hallucinating. It introduces bugs. It creates security vulnerabilities. And you burn tokens trying to fix issues that AI itself created.
The Industry's Wrong Approach
Most companies focus on making AI models more powerful or adding "AI-powered" tools to fix AI mistakes. But that's like using fire to fight fire. You can't use AI to guide another AI.
The Real Solution
Humans set the rules through proper logic. We guide AI with governance frameworks, security policies, and architectural constraints—not with more AI.
How Ranex Works
Real-time governance that validates AI-generated code before it reaches your codebase
Fail-closed Guardrails
Machine-readable failures that block bad AI changes and let agents iterate until it's PASS.
30+ SAST Patterns
Catches SQL injection, XSS, hardcoded secrets, and 27+ other security vulnerabilities before they ship.
Drift Detection
Tracks when AI deviates from your architecture, standards, or compliance requirements.
Hardest Technical Challenges
1. AI Drift Detection
Building a system that can detect when AI-generated code deviates from your architecture without requiring manual rule updates. Solved with snapshot-based comparison and semantic analysis.
2. Codebase Context at Scale
As codebases grow to thousands of files, maintaining context becomes impossible for AI. Solved with RAG-based governance, embedded ONNX models, and semantic search that keeps AI grounded in your actual codebase.
3. Real-time validation
Enforcing workflow gates, drift checks, and security rules without slowing teams down.
The Founder
Anthony Garces is a solo developer and freelancer who has been coding since 2015, starting as a PHP developer. After years of building web applications and experiencing the limitations of AI coding assistants firsthand, he created Ranex to solve the problems he faced every day.
Anthony believes that AI is transformative, but it needs human-defined guardrails to be truly reliable. Ranex is his answer to the question: "How do we trust AI-generated code in production?"
The Future
In 3-5 years, we see Ranex as the standard for AI coding governance—trusted by Fortune 500 companies and developers worldwide to ensure AI-generated code is safe, secure, and production-ready.
We're just getting started. Join us on this journey.
Ready to Try Ranex?
Start with Community Edition (free) or join the Team Edition waitlist for 40% off.