Core Concepts

What is Tetrix AI?

Tetrix AI is an intelligent development assistant that goes beyond simple code generation. While tools like ChatGPT can write code snippets, they lack understanding of your specific system—how your services connect, what your infrastructure looks like, and how everything works together.

Tetrix bridges this gap by:

• Connecting directly to your GitHub repositories and AWS infrastructure
• Building a comprehensive Knowledge Graph of your entire system
• Providing context-aware AI responses based on your actual architecture
• Keeping its understanding up-to-date through real-time synchronization

Think of it as an AI that has actually read and understood your entire codebase, knows your infrastructure, and can answer questions about how everything fits together.

How Tetrix Works

Here's a simplified overview of how Tetrix provides intelligent assistance:

1. Connect Your Resources

You connect Tetrix to your development ecosystem:

• GitHub Repositories: Your source code, documentation, and configurations
• AWS Infrastructure (optional): Your cloud resources and services

2. Knowledge Graph Generation

Tetrix analyzes your connected resources and builds a Knowledge Graph—a sophisticated map of relationships across your entire system:

• Code structure and dependencies
• Function call chains and data flows
• API endpoints and their implementations
• Database schemas and queries
• Infrastructure resources and configurations
• Cost patterns and security postures

3. Context-Aware AI Responses

When you ask a question, Tetrix:

1. Understands your query and identifies relevant parts of your system
2. Queries the Knowledge Graph to gather context
3. Uses advanced AI models with this specific context to provide accurate, actionable answers
4. Can suggest optimizations, explain architecture decisions, and identify potential issues

4. Real-Time Updates

Your codebase changes frequently. Tetrix stays current through:

• GitHub Webhooks: Automatic notifications when code is pushed
• Incremental Updates: Only analyzes what changed, keeping the graph current
• Infrastructure Monitoring: Regular syncs with AWS to detect resource changes

Key Features

Multi-Repository Support

Modern applications often span multiple repositories—frontend, backend, microservices, infrastructure-as-code, and more. Tetrix understands this:

• Analyze Multiple Repos as a System: Connect all your repositories and Tetrix maps dependencies between them
• Cross-Repository Queries: Ask questions that span your entire ecosystem
• Team Collaboration: Share insights across your development team

Example: "How does the authentication service in the backend-api repo interact with the user-service repo?"

Real-Time Synchronization

• GitHub Webhooks: Tetrix receives notifications immediately when you push code
• Automatic Analysis: Changed files are re-analyzed and the Knowledge Graph updates
• Always Current: Your AI assistant always has the latest information

AWS Infrastructure Integration

Code doesn't exist in a vacuum—it runs on infrastructure. Tetrix's AWS integration provides:

• Infrastructure Context: Understand which code runs on which resources
• Cost Analysis: Identify expensive services and optimization opportunities
• Security Insights: Analyze security groups, IAM policies, and access patterns
• Resource Optimization: Find unused resources and right-sizing opportunities

Use Cases

Understanding Legacy Code

Inherited a complex codebase? Tetrix helps you understand it quickly:

• "Explain how the authentication system works"
• "What are all the API endpoints in this application?"
• "Show me the database schema and relationships"
• "Where is the user registration flow implemented?"

Debugging Complex Issues

Track down bugs across services and infrastructure:

• "Which services interact with the payments database?"
• "Show me all error handling in the checkout flow"
• "What could cause timeouts in the API gateway?"
• "Trace the data flow from user input to storage"

Architecture Decisions

Make informed decisions about your system:

• "What would be affected if I split this service into two?"
• "How are these microservices coupled?"
• "What's the current architecture of our AWS infrastructure?"
• "Suggest improvements for our service architecture"

Code Reviews and Documentation

Improve code quality and knowledge sharing:

• "Generate documentation for the API endpoints"
• "What design patterns are used in this codebase?"
• "Are there any circular dependencies?"
• "Explain this complex function in simple terms"

Infrastructure Optimization

Optimize costs and performance:

• "Which AWS resources are most expensive?"
• "Identify unused or underutilized resources"
• "Suggest cost optimization opportunities"
• "What security improvements should we make?"

Why Context Matters

Generic AI assistants like ChatGPT are powerful, but they lack knowledge of your specific system. This leads to:

• Generic advice that may not apply to your architecture
• Hallucinated code that doesn't match your patterns
• Inability to understand system-wide implications
• No awareness of your infrastructure or constraints

Tetrix solves this by grounding every response in your actual system:

Getting the Most from Tetrix

Ask Specific Questions

The more specific your questions, the better Tetrix can help:

❌ "How does the backend work?" ✅ "Explain the authentication flow in the auth-service repository"

❌ "What's wrong with AWS?" ✅ "Analyze the costs of Lambda functions in the production environment"

Explore Relationships

Tetrix excels at understanding connections:

• "What services depend on the user database?"
• "How do these three microservices communicate?"
• "Which code deploys to which AWS resources?"

Regular Queries

Use Tetrix regularly to:

• Document new features as you build them
• Review pull requests with AI assistance
• Monitor infrastructure changes
• Identify technical debt

Next Steps

Now that you understand how Tetrix works:

• GitHub Integration Guide - Master repository management and real-time updates
• AWS Integration Guide - Set up infrastructure analysis
• Security - Learn how we protect your data
• Quickstart - If you haven't set up Tetrix yet, start here