Prompt and Context Design for Claude Agents That Work (Harnessing Claudes Intelligence)
What to put in a Claude agent's context and what to leave out: a practical guide to context design that keeps agents accurate, fresh, and cheap.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
What to put in a Claude agent's context and what to leave out: a practical guide to context design that keeps agents accurate, fresh, and cheap.
Connect tools and MCP servers to Claude the right way: scoped auth, clear schemas, structured error handling, and idempotent writes that prevent incidents.
Code-level patterns for Claude agents: contract-shaped prompts, sharp idempotent tools, and a relevance budget for context that holds up in production.
A follow-along walkthrough to build a Claude agent: scaffold the loop, wire tools, add an MCP server, and ship safely with evals and guardrails.
How a production Claude agent fits together end to end: context loop, tool runtime, MCP servers, skills, and orchestration that keeps it reliable.
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