Context Engineering in AI-Driven Software Development
Your AI coding assistant is only as good as the context you give it. Here's how to stop wasting tokens on grep and start engineering context like a pro.
Every developer who's spent time with an AI coding assistant has hit that wall. You're deep into a refactoring session with Claude Code, Cursor, GitHub Copilot, Windsurf, whatever your tool of choice, and it's humming along. Then suddenly it starts hallucinating function signatures, suggesting imports that don't exist, or confidently pointing you to code that was deleted three sprints ago.
The problem isn't the model. It's the context.
Context engineering is quickly becoming one of the most important skills for developers working with AI tools, and nowhere is it more critical than when navigating source code. In this post I'll break down what context engineering actually means here, why it matters so much for code, and how purpose-built tooling can transform your AI agent from a glorified grep machine into something that actually understands your codebase.