The A2A Protocol: Standardizing Handoffs Between Heterogeneous Agents
How the A2A standard allows multi-vendor agents to discover, negotiate, and delegate tasks safely.
Agentic AI
Context Bloat: Implementing Progressive Discovery in Agent Memory
Using progressive discovery and smart tool-search to keep agents lean. Learn how to prevent context window overflow and infinite reasoning loops in multi-agent systems.
Agent FinOps: Architecting Economic Constraints into LLM Routing
We built autonomous agents that can think, reason, and execute. Now we need to stop them from bankrupting us. Here is how to build economic constraints directly into your LangGraph loops.
The Infinite Board Problem: Pruning State in Long-Running Reasoning Loops
How to manage the shared state size in complex reasoning loops to prevent context window overflow without losing critical history.
CopilotKit vs A2UI: Client-Side Rendering in Generative UI
Compare Generative UI patterns for browser-based, client-side rendering. Learn when to use declarative CopilotKit structures versus the open-ended A2UI protocol.
· Rajat Pandit · Agentic AIThe Supervisor vs. Swarm Debate: Routing in Multi-Agent Systems
An organic, decentralized mesh of democratic agents reads brilliantly in an academic paper. But in enterprise production, democratic agents lead to infinite loops and massive API bills.