How Do You Build AI Agents with the Claude Developer Platform?

TL;DR

Build AI agents with the Claude Developer Platform by giving Claude autonomy to choose tools, process results, and determine its next step while avoiding excessive scaffolding. The platform combines APIs, SDKs, documentation, console experiences, web search, web fetch, context management, and code execution. Read on to understand the platform’s agentic approach, memory strategy, and planned capabilities.

Transcript

• Because as a developer, my creativity ends at some point. I can only think of so many use cases. But the model, like anything, anything somebody comes with, the model will figure out a way to go do that thing. - Hey, I'm Alex. I lead Claude Relations here at Anthropic. Today we're talking about building the future of agents with Claude, and I'm j... Read More

Key Insights

• The Claude Developer Platform encompasses APIs, SDKs, and documentation crucial for building on Claude.
• Anthropic's Claude Code SDK serves as an agent harness, facilitating tool calling and automation.
• AI agents benefit from reduced scaffolding, enhancing their ability to adapt and utilize new model capabilities.
• Web fetch and search tools empower models to autonomously conduct deep research tasks.
• Managing context and memory is vital, with features allowing models to declutter prompts for better focus.
• Agentic memory enables models to learn from past tasks, improving performance over time.
• Observability is critical for long-running tasks, allowing developers to steer and optimize agent behavior.
• Future developments aim to provide Claude with computer capabilities, further unhobbling the model.

Questions & Answers

Q: How do you build AI agents with the Claude Developer Platform?

Use the platform’s APIs, SDKs, documentation, console experiences, and tools to let Claude carry out tasks with meaningful autonomy. Anthropic describes an agent as a model that can choose tools, call them, handle their results, and decide what to do next.

Q: What does the Claude Developer Platform include?

It encompasses Anthropic’s APIs, SDKs, documentation, and developer experiences within the console. It also includes prompt caching, a batch API, web search, web fetch, context-management support, and code execution.

Q: What is an AI agent according to Anthropic?

Anthropic defines an agent by the model’s autonomy in choosing and calling tools, handling their results, and selecting the next step. This differs from a workflow in which a developer predetermines the path Claude must follow.

Q: Why can excessive scaffolding hinder Claude agents?

Heavy scaffolding can constrain the model and prevent developers from seeing the full benefit of its intelligence. As models gain more contextual understanding, they need fewer guardrails, and some existing constraints can become liabilities.

Q: How do agentic patterns benefit from new Claude models?

A genuinely agentic service can improve as stronger models are released because more decisions are left to the model. A heavily predefined workflow may not capture the next model’s higher level of intelligence because its scaffolding continues to limit behavior.

Q: What role does the Claude Agent SDK play in agent development?

The Claude Agent SDK, previously called the Claude Code SDK, provides an agentic harness that automates tool calls and supports rapid prototyping. It gives developers a foundation for agentic loops without requiring them to manage every low-level detail.

Q: How do web search, web fetch, context management, and memory support agents?

Web search and web fetch let agents access information while conducting research tasks. Context-management features can declutter prompts, while agentic memory lets models take notes and recall relevant information from earlier tasks.

Q: What future capabilities are planned for Claude agents?

Planned developments include giving Claude computer capabilities, persistent storage, and better tool organization. The platform also intends to improve observability so developers can monitor, steer, and optimize long-running agent tasks.

Summary & Key Takeaways

• The Claude Developer Platform integrates APIs, SDKs, and documentation to support developers in building AI agents. By minimizing scaffolding, agents can better harness the model's capabilities, using tools like web fetch for autonomous research.

• The Claude Code SDK acts as an agentic harness, automating tool calls and enabling developers to prototype agents efficiently. Memory management and context decluttering are key features that enhance agent performance.

• Future enhancements include providing Claude with computer capabilities, allowing for persistent storage and tool organization. Observability will also be a focus, ensuring developers can monitor and optimize agent tasks effectively.