Sunday Dispatch
Summary Agentic AI is scaling faster than the security infrastructure built to contain it, and the gap is no longer theoretical. This week the industry got a clearer picture of what that gap costs, who is starting to patch it, and what a more honest architecture looks like at the
AI Agents
Why shipping AI agents is now a governance and reliability problem, not a capability one — and which architectural decisions you need to make in the next 90 days.
AI Agents
Why do general-purpose LLMs fail at production incident RCA? Relvy's architecture exposes the noise problem — and how specialized AI agents solve it.
AI Infrastructure
Managed platforms or self-hosted stacks? We map the real tradeoffs in AI agent infrastructure, what fails in production, and how to pick the right path.
AI Agents
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
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, AutoGen, or LangChain? Your choice of orchestration philosophy determines where your multi-agent system breaks. Here's what practitioners need to know.
AI Agents
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
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
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
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
Anthropic's Claude Code leak revealed more than system prompts. Its custom React rendering pipeline shows how serious agent infrastructure is actually built.