Technical Architecture
Built on cutting-edge AI infrastructure
Enterprise-grade architecture powered by MCP, RAG, and real-time streaming for production-ready code generation
AI & ML
MCP (Model Context Protocol)
Anthropic's protocol for persistent AI context
RAG Architecture
Retrieval-Augmented Generation for semantic understanding
Vector Embeddings
High-dimensional semantic search and memory
Fine-tuned LLMs
Custom models trained on production code patterns
Real-time Infrastructure
WebSocket Streaming
Sub-100ms latency for live code generation
Server-Sent Events
Real-time UI updates and progress tracking
Edge Computing
Global CDN for instant preview deployment
Agentic AI Orchestration
Multi-agent coordination for complex tasks
Developer Experience
API-first Architecture
RESTful and GraphQL endpoints for extensibility
CI/CD Integration
Native GitHub Actions, GitLab CI, and Jenkins support
Prompt Engineering
Optimized prompts for consistent, high-quality output
Multi-modal Processing
Voice, text, and code understanding in one pipeline
Data & Storage
Vector Databases
Pinecone/Weaviate for semantic memory storage
Time-series Data
Session replay and conversation analytics
Graph Relationships
Context mapping across projects and sessions
Distributed Caching
Redis for sub-millisecond context retrieval
Security & Compliance
End-to-end Encryption
AES-256 for data at rest and in transit
SOC 2 Type II
Enterprise-grade security compliance
RBAC & SSO
Role-based access control with SAML/OAuth
Audit Logging
Immutable logs for compliance and debugging
Integration Layer
OAuth 2.0 / OIDC
Secure third-party integrations
Webhook Architecture
Event-driven updates to your tools
SDK & CLI
TypeScript, Python, and Go client libraries
Custom Connectors
Build your own integrations with our API
Want to dive deeper?
Read our technical documentation and API reference