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New course teaches production-ready AI agents with Claude Code

A new course aims to bridge the gap between basic AI agent tutorials and production-ready systems, focusing on building resilient Python MCP servers. The curriculum addresses challenges like rate limiting, state management, and secure code execution, which are often overlooked in introductory materials. It teaches developers to integrate Claude Code safely into their workflows, using tools like Docker for sandboxed environments and offering lifetime access for $149. AI

IMPACT Provides practical skills for building robust AI agents, addressing common production challenges.

RANK_REASON The cluster describes a paid course for developers, which is a product offering.

Read on dev.to — MCP tag →

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  1. dev.to — MCP tag TIER_1 English(EN) · guardlabs_team ·

    Production MCP & Claude Code in Russian — pain outcome

    <p>Most Model Context Protocol (MCP) tutorials stop at the "hello world" stage. They show you how to connect Claude to a mock SQLite database or fetch the weather, leaving you to figure out the hard part alone. When you try to build a real-world agent that handles rate limits, ma…