Blog
Context engineering, AI coding tools, and building better specs.
What is Context Engineering? A Guide for AI-Assisted Development
Context engineering is the practice of curating and structuring the information an AI model receives. Learn why it matters more than prompt engineering for AI coding agents.
Read articleWhy Your AI Agent Wastes 40K Tokens Before Writing a Single Line
AI coding agents spend most of their token budget reading files to understand your codebase. Structured context cuts that waste by 10x.
Read articleMCP Setup Guide: Give Claude Code Structured Codebase Context
Step-by-step guide to setting up MCP with Claude Code. Give your AI agent structured codebase context instead of raw file reads.
Read articleCursor vs Claude Code vs Codex: How Context Changes Everything
Comparing AI coding tools isn't about which is best — it's about what context they receive. All three benefit from structured codebase context via MCP.
Read articleHow Scope Analyzes a Codebase in 2 Minutes
A technical deep-dive into Scope's 5-layer analysis pipeline: tree-sitter AST, PageRank, schema extraction, LLM enrichment, and domain intelligence.
Read articleContext Engineering vs Plan Mode: Why Your AI Agent Needs Both
Plan mode helps AI agents reason about approach. Context engineering gives them codebase knowledge. They're complementary, not competing.
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