Featured
Introducing SixDegree - The Context Layer for Enterprise AI
Introducing SixDegree - the context layer for enterprise AI. Business is about relationships. Now AI can reason over them.
AIMCPPlatform Engineering
Craig Tracey
sixdegree
Internal Developer Portals vs Context Layers: What AI Agents Actually Need
IDPs were built for humans browsing catalogs. AI agents need something different: queryable relationships, real-time state, and cross-system reasoning. Here's why IDPs can't close the gap.
Platform EngineeringAI AgentsContext Layer
Craig Tracey
a16z Just Described What We've Been Building
Andreessen Horowitz published their thesis on why data agents need a context layer. Canonical entities, identity resolution, tribal knowledge, governance. We've been building exactly this.
Context LayerAI AgentsEnterprise AI
Craig Tracey
Service Catalog vs Live Ontology: Why Static Catalogs Fail
Service catalogs promised to be the single source of truth for your infrastructure. Here's why they go stale, what a live ontology provides instead, and when each approach actually makes sense.
Platform Engineering
Craig Tracey
The Developer Onboarding Problem: Why It Still Takes Months in 2026
Developer onboarding remains painfully slow despite AI coding tools. The root cause is not documentation. It is that system understanding is trapped in tribal knowledge and disconnected tools.
Developer Experience
Craig Tracey
What Is Blast Radius Analysis and Why Every Team Needs It
Blast radius analysis maps the downstream impact of changes before they happen, whether that's an API field, a database column, or a key person leaving the company.
Platform Engineering
Craig Tracey
MCP Needs Connective Tissue
Model Context Protocol gives LLMs powerful tools, but without relationship data, every request becomes trial and error. Why that leads to hallucinations and why context matters.
MCP
Craig Tracey