AI that truly understands your codebase
Experience the next generation of AI development with real-time context awareness, semantic code understanding, and parallel agent execution. Cheetah AI doesn't just help you code—it thinks with you.
Real-time workspace intelligence
Persistent awareness of your workspace, edits and frameworks. The Context Engine ensures every AI interaction is grounded in your current codebase state.
Active Monitoring
Recent Changes
Always up to date
The Context Engine continuously monitors your workspace, ensuring AI responses are always based on your current code state, not outdated snapshots.
// Framework: Next.js 14
// State: React 18 + TypeScript
// Last updated: 2 seconds agoFramework intelligence
Deep understanding of your chosen frameworks, patterns, and architectural decisions to provide contextually relevant suggestions.
✓ Detected: Server Components pattern
✓ Identified: Custom hook usage
✓ Found: Tailwind CSS classes
Workspace Awareness
Continuously understands your entire codebase structure and relationships.
Edit Tracking
Monitors every change to maintain context across your development workflow.
Real-time Processing
Instant awareness of code changes without manual intervention.
Framework Intelligence
Deep understanding of frameworks, patterns, and architectural decisions.
Deep code understanding & lightning-fast retrieval
Advanced semantic analysis creates rich memories of your codebase, enabling intelligent editing that understands not just what your code does, but why it exists.
Query
"Find all authentication-related functions that handle JWT tokens"
Semantic Analysis Results
verifyToken() - Validates JWT signatures and expiration
authenticateUser() - Middleware that uses JWT verification
Beyond syntax analysis
Semantic Memories understand the purpose and relationships in your code, not just the structure. This enables intelligent suggestions that fit your intent.
Instant code discovery
Find exactly what you're looking for with semantic search that understands concepts, not just keywords. No more hunting through files.
Deep Understanding
Goes beyond syntax to understand the meaning and intent behind your code.
Lightning Retrieval
Instantly find relevant code patterns and implementations across your entire codebase.
Context Aware
Understands relationships between functions, classes, and modules for better suggestions.
Intelligent Editing
Leverages semantic understanding to make smarter, more accurate code modifications.
Automatic scanning to detect frameworks
Intelligent framework detection automatically identifies your tech stack, dependencies, and usage patterns to provide contextually relevant AI assistance.
Comprehensive analysis
Framework Detection goes beyond simple dependency reading. It analyzes usage patterns, folder structures, and coding conventions to understand your complete tech stack.
Smart suggestions
Once your frameworks are detected, AI suggestions automatically adapt to use the right patterns, imports, and best practices for your specific setup.
Auto Discovery
Automatically scans and identifies frameworks used throughout your project.
Dependency Analysis
Deep analysis of package.json, imports, and usage patterns across files.
Pattern Recognition
Identifies architectural patterns, folder structures, and coding conventions.
Smart Configuration
Understands framework-specific configurations and best practices.
Unreal Engine style visual relationships
Interactive node-based visualization that links related functions, classes, components, modules, and files together at every level for a truly connected knowledge graph.
Interactive exploration
Navigate your codebase like never before. Click on nodes to explore relationships, understand dependencies, and see how different parts of your system connect.
Context manipulation
Select specific nodes to provide targeted context to the AI. Choose exactly what the AI should focus on for more relevant and accurate responses.
Visual Relationships
Interactive node-based visualization linking functions, classes, components, and modules.
Selective Context
Choose specific nodes to provide targeted context for better AI assistance.
Business Intent
Both technical and business descriptions for every function make context clear.
Connected Intelligence
Truly connected knowledge graph spanning all architectural levels.
An army of agents working together
Multiple AI agents collaborate simultaneously with separation of concerns and shared context, handling complex development workflows efficiently through specialized responsibilities.
Specialized expertise
Each agent has a specific role and expertise area. Code analysis, testing, documentation, refactoring, and quality assurance all happen simultaneously.
Shared intelligence
While agents work independently, they share unified context and insights. This ensures consistency and enables sophisticated collaborative workflows.
Agent Army
Multiple specialized AI agents working simultaneously on different aspects of your project.
Separation of Concerns
Each agent has distinct responsibilities while sharing unified context across the workflow.
Complex Workflows
Handle sophisticated development tasks through coordinated agent collaboration.
Efficient Processing
Parallel execution dramatically reduces time for complex multi-step operations.