Agentic AI Engineering: Architectures, Protocols, and Future Trajectory
Agentic AI represents the next leap in AI system design moving beyond single-model prompting into orchestrated ecosystems of specialized agents. These agents communicate, collaborate, and coordinate actions to achieve complex objectives, operating within defined architectures and protocols that ensure consistency, security, and scalability.
What is the Whitepaper About?
Building the Future of Intelligent, Coordinated AI Agents
Discover how to design, implement, and operate scalable multi-agent architectures powered by robust communication protocols, enabling reliable collaboration between AI agents in real-world environments.
What To Expect?
Why agent orchestration matters and where single LLMs fall short
Core principles of the Model Context Protocol (MCP)
Designing secure and deterministic Agent-to-Agent (A2A) communication
Strategies for task decomposition, delegation, and feedback loops
Best practices for deploying resilient, auditable agent networks at scale
Transform Your Engineering Operations
See how Kubiya can revolutionize your workflows with AI-powered automation, reducing costs and boosting productivity.
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