Building an Agentic System

It is a big leap from using LLMs to perform functions inside a system or product to getting to Agentic features.

This guide dissects a working agentic system architecture with a focus on:

1. Responsive Interactions - How to build systems that stream partial results instead of making users wait for complete responses
2. Parallel Execution - Techniques for running operations concurrently without sacrificing safety
3. Permission Systems - Implementing guardrails that prevent agents from taking unauthorized actions
4. Tool Architecture - Creating extensible frameworks for agents to interact with the environment

I've deliberately focused on concrete engineering patterns rather than theoretical ML concepts. You'll find diagrams, code explanations, and architectural insights that apply regardless of which LLM you're using.

This is focused on coding tasks but I would expect patterns that could be applied to different Agentic paradigms.