My TOP 6 Claude Code PRO tips for AI Coding (MCP + Agents)

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AI Summary

Summary of YouTube Video Transcript

Context Priming

• Technique: Context priming involves letting CLA code understand your codebase by reading essential files.
• Commands: Use get LS files to help CLA code understand the structure.
• Benefits: Speeds up work and helps set up AI coding assistant effectively.

Context is King

• Concept: Feeding the right context to AI coding tools is crucial.
• Tools: Use collectors for gathering context and executors for CRUD operations.
• Recommendation: Fir crawl MCP is suggested for scraping and crawling websites.

File Editing with Sonet 3.7

• New Feature: Text editor tool for precise file editing.
• Example: Demonstrated creating a summary of a README file using the new tool.

Efficiency with Token Use

• New Feature: Token efficient tool use beta flag.
• Demonstration: Compared token usage with and without the efficiency flag.

Release Notes and Thinking Mode

• Tips:
  • Check release notes with /relase command.
  • Use thinking mode commands like think, think harder, or Ultra think for deeper reasoning capabilities.

Using MCP Servers

• Slash Commands: Activate predefined prompts with slash commands.
• Adding MCP Servers: Can be added quickly using JSON format.
• Example: Showed how to add and remove fetch MCP server.

Building Systems with Agents

• Focus: Building agents for various use cases to scale productivity.
• Advantage: CLA code is an agent that helps in engineering and terminal tasks.
• Recommendation: Gather a suite of collection and execution tools to scale up capabilities with AI coding tools like CLA code.

Final Thoughts

• The video emphasizes the importance of context, efficient tool use, keeping up with new features, and building systems that can build other systems to leverage the capabilities of generative AI in engineering.

Detailed Instructions and Tips (if any)

• No specific CLI commands, website URLs, or detailed instructions were provided in the summary section.