Anthropic

Anthropic merged about 2,500 changes a day in May and more than 30,000 a day in September. Git's client could not keep up, so they inverted it. Between September 16 and October 15, 2026, every major lab hit the same wall and shipped the same primitive. Storage is solved. Deciding who wins a write is not.

The concept of Context Graphs has rapidly captured the industry's imagination. The thesis is that the next trillion-dollar enterprise platforms will not be systems of record for data, but systems of record for decisions. But who actually captures this opportunity? The answer is hiding in plain sight—in the agentic tools that are already operating in the wild, generating decision traces every second.

The enterprise AI landscape is at a critical juncture. We have powerful general-purpose models and a growing ecosystem of tools. But we are missing a crucial piece: a standardized, portable way to equip agents with the procedural knowledge and organizational context they need to perform real work.

Anthropic has detailed its disruption of the first publicly reported cyber espionage campaign orchestrated by a sophisticated AI agent. The incident, attributed to state-sponsored group GTG-1002, signals that the age of autonomous, agentic AI threats is here. This post dissects the anatomy of the attack and explores how emerging standards like OpenID Connect for Agents (OIDC-A) provide a necessary path forward.

Anthropic has introduced two powerful but distinct approaches to AI customization: Claude Skills and the Model Context Protocol (MCP). While both aim to make AI more useful and integrated into our workflows, they operate on fundamentally different principles. This post explores their differences, synergies, and the exciting future they represent.