AI Agents
A2A Protocol: How Agent Communication Works
Is Google's A2A protocol the missing layer for multi-agent AI? Learn how it handles discovery, task lifecycle, and why it extends MCP rather than replacing it.
AI Agents
AI Agents
OpenClaw: Microsoft Bet, Qwen 3.5 Gains, Open-Source Rival
Is OpenClaw's Microsoft deal a real architectural shift or a Copilot rebrand? We break down Qwen 3.5 cost gains, security risks, and the Hermes Agent threat.
AI Agents
AI Agents in Production: What Actually Works
Stripe merges 1,300+ PRs per week with AI agents. What does that mean for memory, security, and agent architecture in real production systems?
AI Agents
LangChain Tools Beat LLM Guessing for Structured Data
Why are AI agents still letting LLMs hallucinate structured data? The LangChain tool wrapper pattern with deterministic APIs changes everything about pipeline reliability.
AI Agents
OpenClaw: Durable Memory Over Context Stuffing
Is context stuffing killing your agent economics? OpenClaw's memory architecture shows why persistent storage beats repeated token loading every time.
AI Agents
Multi-Agent AI Has a Hard Information Ceiling
Can multi-agent LLM systems ever match centralized planning? Math says no. Explore the structural debt in agentic AI stacks — and what to do about it.
AI Agents
AI Agents in Production: Hype vs. Reality
Are AI agents actually delivering 30% productivity gains? We dissect the real numbers, the dirty methodology, and the architecture that separates agents that ship from those that stall.
AI Agents
Why AI Agents Fail in Production
Your prompts aren't the problem. SSE parsing bugs, auth gaps, and unbounded decisions are killing agents in production. Here's what to fix first.
Sunday Dispatch
The Sunday Dispatch: Your Tools Are Breaking Your Agents
Summary The agentic AI stack is maturing fast, and the bottlenecks are no longer where most teams are looking. This week: why tool definitions are quietly wrecking your agent pipelines, why Cisco's security warning deserves more than a passing read, and what 700 AI agents building a religion
AI Agents
Multi-Agent Systems Are Failing in Production
Your LLM agents work fine alone. Wire them together and everything breaks silently. Here's why multi-agent orchestration fails at scale in 2026.