Talking to Your Codebase
How giving AI tools the right information about your project means getting better, more useful code suggestions — and how to do it well.
What Is Context?
When you ask an AI coding tool like Cursor or Claude Code to help you build something, that AI has to make guesses about your project. It doesn't automatically know what files you have, what your coding style looks like, or how your project is organized.
That's where context comes in. Context is any information you give the AI about your specific project — your existing code, your folder structure, the libraries you're using, and what you've already built. With more and better context, the AI makes much better decisions about what to write.
Think of it like asking a chef to cook for you. If you just say "make something good," they might make something that's tasty — but not what you actually wanted. If you say "I want a spicy dish with chicken and vegetables, no nuts, feeds four people," they'll make exactly what you need. The AI is the same.
Most AI coding tools have something called a context window — a limit on how much information they can "see" at once. That's why choosing the right context matters. You want to give them the most useful information without overwhelming them.
Context Is the Difference Between Guessing and Knowing
Without context, an AI tool has to make generic assumptions. It might suggest code that doesn't fit your project's style, uses a library you don't have, or doesn't follow your existing patterns. That's frustrating — and it often means you spend more time fixing AI-generated code than you would have spent writing it yourself.
With good context, the AI knows exactly how your project works. It can suggest additions that match your existing code, point out conflicts before they happen, and write in a style that looks like it belongs in your project.
💡 Key Insight
The difference between a useful AI coding session and a wasted one is almost always context. Give the AI three files of background and it might save you an hour. Give it none and it might waste your whole afternoon.
Three Ways to Give the AI Context
There are three main ways to help an AI understand your project. Most vibe coding tools let you use all three together:
1. File References
Paste in relevant files or drag them into the AI tool. It reads them and uses them as reference. Want the AI to use your existing styling? Share your CSS file. Want it to match your component pattern? Share one of your components.
2. Descriptive Prompts
Tell the AI what your project does, what language and framework you're using, and what you want to add. The more specific you are about your setup, the better the AI can tailor its suggestions to your situation.
3. Project Memory
Some tools let you save a project overview — a short description of what the project is, how it's organized, and any rules you want followed. This gets loaded automatically for every new conversation about that project.
Here's the typical workflow: start a new session, paste in a few relevant files, and describe what you want. The AI immediately has everything it needs to give you a useful answer. This takes about 30 extra seconds and can save you hours of back-and-forth fixing.
Same Ask, Very Different Results
Here's what context looks like in practice. These two prompts ask for the same thing, but one gives the AI way more to work with:
Vague Prompt (No Context)
- ❌ "Write a function that fetches user data"
The AI has no idea what language you're using, what API you're hitting, or how your project handles HTTP requests. It might pick the wrong library, use the wrong syntax, or return data in the wrong shape.
Specific Prompt (With Context)
- ✅ "I'm using Next.js with TypeScript and React Query. Write a typed function that fetches a user by ID from our REST API at /api/users/:id and returns a User object matching our existing User interface in types/index.ts."
The AI knows the language, framework, data-fetching approach, API structure, and type definitions. It writes code that slots right in — no fixing required.
Same job, but the second one gives the AI everything it needs to get it right the first time. That's the power of context.
Knowledge Check
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