Structuring Agents, Skills, and MCPs
📰 Medium · Data Science
Learn best practices for building secure, composable, and maintainable agentic systems
Action Steps
- Apply modular design principles to agentic systems
- Configure agents with secure communication protocols
- Build composable skills for agents using microservices architecture
- Test maintainability of agentic systems using continuous integration and deployment
- Compare different MCPs (Multi-Agent Communication Protocols) for optimal performance
Who Needs to Know This
Data scientists and software engineers working on agentic systems can benefit from this article to improve their system's security, composability, and maintainability
Key Insight
💡 Modular design and secure communication protocols are crucial for building robust agentic systems
Share This
💡 Build secure, composable, and maintainable agentic systems with best practices!
Key Takeaways
Learn best practices for building secure, composable, and maintainable agentic systems
Full Article
Best practices for building secure, composable, and maintainable agentic systems Continue reading on CodeX »
DeepCamp AI