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building-an-agentic-system

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Basic Information

This repository is the companion to a two-book series that teaches engineers how to design and build production-ready AI coding assistants and agentic systems. It focuses on practical engineering patterns and real-world architectural decisions derived from analysis of existing systems such as Claude Code and Amp as well as open-source implementations. The first book covers core architecture for coding assistants including reactive terminal user interfaces, streaming responses, tool systems, permission models, and parallel execution strategies. The second book addresses scaling from single-user tools to collaborative, enterprise-ready platforms with authentication, team workflows, real-time synchronization, and production deployment strategies. The material is targeted at software engineers building AI-powered development tools and platforms.

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https://github.com/gerred/building-an-agentic-system
Github Repository
https://github.com/gerred/building-an-agentic-system/blob/main/README.md

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Features
The repository documents two complementary books with concrete engineering patterns and production-focused guidance. It highlights core architecture patterns for agentic coding assistants, reactive terminal UIs with streaming responses, and design of tool and permission systems. It covers parallel execution strategies and practical system-level concerns. The second volume details scaling techniques including enterprise authentication, team workflows, collaborative platform design, real-time synchronization patterns, and production deployment approaches. Content is presented as practical, example-driven material based on analysis of commercial and open-source systems. The README and project site provide a rendered book for reading online and contact information for the author.
Use Cases
Engineers receive a compact, practice-oriented reference for building and scaling AI coding assistants with attention to production constraints. The books translate architecture patterns into actionable implementation guidance, helping readers make real design decisions about UIs, tool integration, permissions, and concurrency. The scaling volume guides teams through authentication, multi-user workflows, synchronization, and deploying systems to production, reducing trial-and-error when moving from prototypes to enterprise platforms. Examples and analysis of existing systems provide real-world context that can shorten development time and improve system reliability. The content is aimed at software engineers seeking repeatable, production-ready approaches rather than purely theoretical treatments.

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