Building An Agentic System
What is Building An Agentic System
Building-an-agentic-system is a comprehensive guide that focuses on the architecture patterns for creating responsive and reliable AI coding agents, inspired by systems like Claude Code.
Use cases
Use cases include developing real-time coding assistants, enhancing software development workflows, and creating AI tools that require responsive and reliable interactions.
How to use
To use building-an-agentic-system, readers can access the online book at the provided URL, which offers practical insights and architectural patterns for developing their own AI agents.
Key features
Key features include responsive user interfaces with streaming responses, parallel tool execution for enhanced performance, safety-focused permission systems, and an extensible tool architecture.
Where to use
Building-an-agentic-system can be applied in various fields such as software development, AI research, and any domain requiring the integration of AI coding assistants.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Building An Agentic System
Building-an-agentic-system is a comprehensive guide that focuses on the architecture patterns for creating responsive and reliable AI coding agents, inspired by systems like Claude Code.
Use cases
Use cases include developing real-time coding assistants, enhancing software development workflows, and creating AI tools that require responsive and reliable interactions.
How to use
To use building-an-agentic-system, readers can access the online book at the provided URL, which offers practical insights and architectural patterns for developing their own AI agents.
Key features
Key features include responsive user interfaces with streaming responses, parallel tool execution for enhanced performance, safety-focused permission systems, and an extensible tool architecture.
Where to use
Building-an-agentic-system can be applied in various fields such as software development, AI research, and any domain requiring the integration of AI coding assistants.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
The Agentic Systems Series
A comprehensive guide to building production-ready AI coding assistants, from local tools to enterprise platforms.
Overview
This two-book series provides practical engineering patterns for building AI coding assistants based on analysis of real production systems including Claude Code, Amp, and open-source implementations.
Book 1: Building an Agentic System
- Core architecture patterns for AI coding assistants
- Reactive terminal UIs with streaming responses
- Tool systems and permission models
- Parallel execution strategies
Book 2: Amping Up an Agentic System
- Scaling from single-user to collaborative platforms
- Enterprise authentication and team workflows
- Real-time synchronization patterns
- Production deployment strategies
For Engineers
Written for software engineers building AI-powered development tools, with focus on:
- Practical patterns over theory
- Real architectural decisions
- Production-ready implementations
- Scalable system design
Read Online
Visit gerred.github.io/building-an-agentic-system for the rendered book.
Author
Gerred Dillon - [email protected] - @devgerred
License
This work is licensed under a CC BY 4.0 License.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
