AI Infrastructure
MCP in Production: What the Spec Doesn't Tell You
Is MCP actually upgrading your agent architecture? New research on 116 servers reveals hard truths about wrappers, surface area, and what you're really deploying.
Philip
AI Agents
Agentic AI's Governance Gap Is the Real Problem
Can your AI agent act safely in production? The capability gap is closing fast — but the governance gap is widening. Here's what practitioners must address now.
AI
Show HN: Swiper Studio v2 – Visual slider builder with AI agent support (MCP)
Summary MCP is quietly becoming the connective tissue of production agent infrastructure. This piece cuts through the noise to show what the protocol actually unlocks, where the real friction lives, and what decisions you need to make right now if you are shipping agents that touch real systems. The Model
AI Agents
CrewAI vs AutoGen vs LangChain: Pick a Side
CrewAI, AutoGen, or LangChain? Your choice of orchestration philosophy determines where your multi-agent system breaks. Here's what practitioners need to know.
AI Agents
Agentic AI Failure Modes You Need to Fix Now
Are your AI agents ignoring stop signals or burning token budgets? Discover the structural failure modes of production agents and how to fix them with real architecture.
AI Infrastructure
Anthropic Blocks Claude on LangGraph Agents
Why did Anthropic block Claude access through OpenClaw? The real issue isn't latency claims—it's platform trust boundaries and what they mean for your agent stack.
AI Infrastructure
MCP Architecture: What Most Teams Get Wrong
Still treating MCP as a convenience layer? Learn why its three core primitives, transport choices, and trust boundaries matter more than most teams realize.
Sunday Dispatch
The Sunday Dispatch: Agents That Learn Nothing Learn Everything
Summary Agents are everywhere in the discourse this week, but the infrastructure underneath them is quietly breaking. This edition looks at the architectural gaps practitioners are actually shipping around, and why the next six months of agent tooling will be defined by plumbing, not prompts. THE BIG MOVE The memory
AI Agents
AI Agent Architecture: Production Patterns That Work
Picking the right LLM is the easy part. Discover the memory, routing, and failure-mode decisions that separate production AI agents from demos.
Coding Agents
Claude Code Leak: What the Architecture Reveals
Anthropic's Claude Code leak revealed more than system prompts. Its custom React rendering pipeline shows how serious agent infrastructure is actually built.
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
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.