security
AI Coding Security Risks: Five Failure Modes in Production
AI coding security risks rarely come from rogue models. Five concrete failure modes appearing in production code from Claude Code and similar agentic tools.
6 min read
context-engineering
AI Context Management vs RAG: When Each One Fits
AI context management vs RAG: RAG retrieves documents to answer questions. Context management shapes what an agent knows before it acts. When each fits.
6 min read
ai-governance
AI Governance for Engineering Teams: Beyond the Policy Doc
AI governance for engineering teams fails when policies never reach the keyboard. What engineering-native governance looks like and how to build it.
5 min read
ai-governance
Best AI Governance Tools for Enterprises: Buyer's Guide
There is no single AI governance category. A four-category buyer's guide for enterprises, with a fit test for picking the right category before the tool.
7 min read
claude-code
Claude Code for Enterprise Teams: What Breaks at Scale
Claude Code for enterprise teams works as a personal tool by default. What breaks between 50 and 5,000 developers, and what teams need to add.
6 min read
claude-md
Enterprise Intelligence vs CLAUDE.md: When the File Stops
Enterprise Intelligence vs CLAUDE.md: where the markdown file breaks at scale and what Encephalon adds when a single file stops being enough.
6 min read
ai-governance
Implementing AI Governance in 90 Days: A Concrete Plan
Implementing AI governance in 90 days: a concrete plan for engineering orgs that starts with code the AI actually reads, ending in auditable telemetry.
6 min read
enterprise-ai
Why Enterprise AI Projects Fail: The Pilot-to-Prod Gap
Why enterprise AI projects fail: not at the model, but in the pilot-to-production gap. An honest taxonomy of failure modes for AI engineering work.
6 min read