Architecture
AI Copilot Architecture Guide
System design for AI copilots — context injection, tool use, IDE integration, and enterprise deployment patterns.
Intermediate
System design for AI copilots — context injection, tool use, IDE integration, and enterprise deployment patterns.
Full guide coming soon.
Learning Path
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LLM Concepts
architecture
Related Guides
- Tool Calling
Understand how LLMs invoke external tools and APIs—including computer use and browser use—to extend capabilities beyond text generation.
- AI System Architecture
Reference architecture for modern enterprise AI systems, bringing together retrieval, knowledge graphs, AI agents, LLM gateways, caching, observability, security, and production deployment.
- AI Gateway
AI gateway architecture — unified API layer for model routing, auth, rate limiting, observability, and cost control.
Related Tools
| Tool | Category | Purpose | Website | Best For |
|---|---|---|---|---|
| Cursor TrendingAPICloud | coding | AI-native code editor with codebase context, multi-file agents, Origin code hosting, cloud-agent Subscriptions, and intelligent model routing for teams. | cursor.com | AI-native IDE development |
| GitHub Copilot Enterprise Ready | coding | GitHub-native AI coding assistant with chat, agent mode, workspace context, and enterprise controls. | github.com | GitHub-centric team workflows |
| LangChain PopularOpen SourceAPI | frameworks | Framework for building LLM-powered applications and workflows. | langchain.com | RAG systems |