Build a Coding Agent With the Claude Agent Sdk

~60 min · 15 stations

Start reading — Station 01

Conductor

The Conductor

Tickets please! We’re departing for the frontier of autonomous development, where you’ll learn to build intelligent coding agents powered by Claude. Mind the gap as we automate the future of software.

What you will learn

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FOUNDATION

Establishes the core vocabulary and essential context you need before going further.

• Define the core architecture of modern autonomous software agents

Station 01: Introduction to Agentic Systems▶

• Examine the primary features of the Claude software development kit

Station 02: Claude SDK Fundamentals▶

• Configure the development environment for building Claude-based agents

Station 03: Environment Setup▶

CORE CONCEPTS

Unpacks the ideas and principles that the subject is built on.

• Implement function calling mechanisms within the Claude agent framework

Station 04: Tool Use and Function Calling▶

• Design effective system prompts for controlling agentic behavior

Station 05: Prompt Engineering for Agents▶

• Analyze state management strategies for maintaining agent context

Station 06: State Management Patterns▶

• Develop robust error handling mechanisms for agentic workflows

Station 07: Error Handling Strategies▶

MECHANICS

Examines how things actually work — the processes, rules, and systems in action.

• Construct logic chains for complex multi-step agent operations

Station 08: Multi-Step Reasoning Chains▶

• Connect agents to external services via secure API interfaces

Station 09: External API Integration▶

• Apply security best practices for deploying autonomous agents

Station 10: Agent Security Protocols▶

APPLICATION

Puts knowledge to use through real-world scenarios and practical problems.

• Evaluate agent accuracy using automated testing frameworks

Station 11: Testing Agentic Performance▶

• Refine agent response times for real-time user interactions

Station 12: Optimizing Agent Latency▶

• Integrate human oversight into autonomous agent workflows

Station 13: Human-in-the-Loop Design▶

SYNTHESIS

Connects everything together and explores broader implications and open questions.

• Diagnose common issues in production-grade agentic systems

Station 14: Troubleshooting Agent Failures▶

• Deploy autonomous agents to production cloud environments

Station 15: Deployment and Scaling▶

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