Context Engineering: The Most Underrated AI Skill
Context engineering is the difference between 'my app is broken' and getting a working fix in one shot. Here's a practical guide to providing better context in your AI prompts.
Context Engineering: The Most Underrated AI Skill
Most people think prompt engineering is about clever wording. It's not. The single biggest lever for getting better AI output is context engineering — providing the right background information so the AI can actually help you.
What Is Context Engineering?
Context engineering is the practice of deliberately curating the information you give to an AI model. It's not about cramming everything in — it's about including the right things and excluding noise.
The Context Checklist
Before sending a prompt, ask yourself if you've included:
1. What You're Working With
2. What's Going Wrong
3. What You've Already Tried
4. What Constraints Matter
Bad Context vs. Good Context
Bad: "My React app is broken, fix it"
Good: "I'm getting a TypeScript error TS2345 in my Next.js 16 app (React 19, TypeScript 5.7). The error occurs when passing a 'user' prop to my ProfileCard server component. Here's the component [code], the parent [code], and the full error. I've tried adding 'use client' but that breaks the data fetching."
The second prompt gives the AI everything it needs to diagnose the issue in one shot. The first one requires 3-5 follow-up questions before any real work begins.
The ROI of Good Context
Our data shows that prompts scoring above 70 on Context Engineering:
Multiply that across hundreds of prompts per week, and context engineering becomes one of the highest-ROI skills you can develop.
Ready to measure your AI effectiveness?
Install the free Chrome extension and start tracking.
Get Started Free