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.
Cluster Hub
Agentic AI
MCP, multi-agent DAGs, Universal Commerce Protocol (UCP), Agentic UIs, and LLM routing logic.
Cluster Articles
The Architecture of Generative UI: Declarative vs Open-Ended
When to return structured JSON cards vs streaming raw html to the frontend.
The 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.
Measuring Tool Use Correctness & Plan Adherence
Deep dive into measuring tool use correctness & plan adherence.
Real-time Audio VAD: The Hardest Problem in Voice Agents
Latency in Voice Agents isn't just network time; it's Turn-Taking latency. If your agent cannot reliably detect when the user has stopped speaking, the illusion of intelligence shatters instantly.
A2A Architectures: Tools are not just Functions (The Two-Phase Commit)
Why Agent-to-Agent (A2A) interactions and Side Effects require a 'Two-Phase Commit' for safety.
The Blackboard Architecture: Solving the Agent 'Phone Game'
Chains are brittle. We need a shared state object for robust multi-agent reasoning.
LLMs are Terrible Backends (Unless You Force JSON)
Non-determinism is a bug, not a feature. We explore how to whip the model into compliance using Enforcers, Pydantic, and Constrained Generation.
Gemini CLI Hooks: Automating True Agentic Workflows
Implement Gemini CLI Hooks to automate ticket resolution, inject database schemas, and enforce security guardrails. Scale your agentic workflows beyond chat.
MCP: The End of the API Wrapper
We analyze the JSON-RPC internals of the Model Context Protocol (MCP) and why the 'Context Exchange' architecture renders traditional integration code obsolete.
The Agentic Software Development Life Cycle
Shift from prompt-and-response to an agentic SDLC. Learn how to orchestrate AI agents as a "Coach" and build scalable context engineering playbooks.