Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Tag: Multi-Agent-Systems
You Sped Up Engineering. Why Isn't Revenue Moving?
A practical roadmap of the core engineering problems that must be solved before AI agents become reliable, scalable, secure, and economically useful systems.The Unsolved Engineering Problems of AI Agents
A practical roadmap of the core engineering problems that must be solved before AI agents become reliable, scalable, secure, and economically useful systems.Conceptual AI Agents Universe — System Design Document
A plugin-based platform architecture where each AI agent system is an independently subscribable capability. One interface, one orchestrator, unlimited agents — added without touching existing code.Knowledge Distillation Teaching Smaller Agents From Larger Ones
Learn how knowledge distillation enables large, expensive AI agents to teach smaller, faster ones — reducing cost and latency while preserving capabilityImproving Decisions Through Multi-Agent Debate and Deliberation
How AI agents can reach better decisions by arguing with each other—exploring debate protocols, deliberation architectures, and the surprising power of constructive disagreement.Agent Communication Protocols and Message-Passing Patterns for Coordination
Master the protocols and patterns that enable AI agents to communicate, coordinate, and collaborate effectively in multi-agent systemsA Multi-Agent AI Ecosystem for Self-Improving Software
In the relentless pursuit of robust and secure software, developers have long relied on a combination of automated test...Building a Multi-Agent Debate System with LangGraph
## Introduction Multi-agent systems are a fascinating area of AI development, where multiple autonomous agents collabo...AI Agent Communication Protocols MCP, ACP, A2A, and ANP
An overview of the most important communication protocols for multi-agent systems, and how they enable interoperability and scalability.