Summary
The video introduces the sub agent feature in Cloud Code, showcasing initial challenges and improved performance with best practices. It explains the behind-the-scenes workings of the Cloud Code agent, including tools for file editing and token consumption. The implementation of specialized agents for backend tasks and orchestrating multiple agents for enhanced performance is discussed, emphasizing the importance of sharing context and utilizing tools like Versell AI SDK for optimal design. Building sub agents involves accessing documents, defining rules, and designing components for specific tasks. Overall, the video provides guidance on replicating the Versell AI SDK service using sub agents and continuously updating context sessions for efficiency.
Introduction to Sub Agent Feature
The speaker introduces the sub agent feature in Cloud Code, highlighting the initial negative experiences and the improvement in performance after learning the best practices.
Understanding Cloud Code Agent
Explanation of how the Cloud Code agent works behind the scenes, detailing its tools and features like file listing, editing, and token consumption.
Sub Agent System Implementation
Details on the implementation of the sub agent system, including the creation of specialized agents for backend tasks and orchestration of multiple agents for better performance.
Context Sharing and Information Retrieval
Discussing the importance of sharing context across agents, retrieving specific information, and utilizing tools like Versell AI SDK for best practices and design.
Building Sub Agents
Steps to build sub agents, including accessing important documents, providing rules and tools for retrieval, and designing agent components for specific tasks.
Replicating Versell AI SDK Service
Guidance on building a replica of the Versell AI SDK service using sub agents, documenting the context, implementing tasks, and continuously updating the context session.
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