GlueFrom Whiteboard to Code Graphs: Building an AI Context Layer
Architecture diagrams are lies the moment you draw them. Here's how to build living code graphs that actually reflect your system—and why AI needs them.
Software Complexity Metrics: The Definitive Guide for Team Leads
Cyclomatic complexity is a lie. Here's how to actually measure code health by combining complexity, churn, and ownership data that predicts real problems.
AI-Ready Legacy Transformation: Modernize Systems for Context
Legacy systems are black boxes to AI coding tools. Here's how to make decades-old code readable to both humans and LLMs without a full rewrite.
Context Engineering: The 2025 Guide to Building Production-Ready AI
Stop building AI features that hallucinate in production. Context engineering is the difference between demos that wow and systems that ship.
Turn AI Assistants Into Product Intelligence Partners with MCP
Stop using ChatGPT as a search engine. MCP lets AI assistants access your feature catalog, code health data, and competitive gaps directly.
AI Code Optimizer: Fix, Refactor, Improve — What Actually Works in 2026
AI code optimizers promise magic. Most deliver chaos. Here's what actually works when you combine AI with real code intelligence in 2026.
Context Intelligence Platform: Transform Raw Code Data Into Actionable Insights
Raw code metrics lie to you. Stop drowning in file-level data. Learn how context intelligence platforms turn code into features, ownership, and strategy.