GitHub Copilot tips

I spent 42 hours last week trying to migrate a legacy Express.js middleware to a FastAPI setup. My usual flow was Copilot, but I kept hitting a wall where the AI forgot the context of my auth.py file the moment I switched tabs. It was a loop of "No, I meant the other function" and manual copy-pasting.

Most people looking for GitHub Copilot tips are actually just fighting with context windows. They think they need "better prompts" when they actually need a tool that can see the whole codebase without being told where to look.

The Raw Numbers: Speed, Cost, and Context

I ran a test on a moderately sized repo (about 140 files) to see how these tools handled a cross-file refactor. Copilot is the "safe" corporate choice, but the challengers are playing a different game.

| Feature | GitHub Copilot | Cursor | Windsurf |
| :--- | :--- | :--- | :--- |
| Pricing | $10/mo (Indiv) | $20/mo (Pro) | $20/mo (Pro) |
| Indexing | Local/Partial | Global Vector Index | Flow-state Context |
| Context Limit | Variable (Small) | Huge (via RAG) | Deep (Agentic) |
| Model Choice | GPT-4o / Claude 3.5 | Claude 3.5 / GPT-4o | Claude 3.5 / GPT-4o |
| Primary Use-case | Fast autocomplete | Full project refactors | Autonomous tasking |

Cursor wins on sheer intelligence because it indexes your files locally. When you @Codebase, it actually searches. Copilot feels like it's guessing based on your open tabs.

Where Copilot Still Makes Sense

Look, Copilot isn't "bad." It's just evolved into a utility rather than a partner. If you're writing a standalone Python script or a simple React component, it's lightning fast. The autocomplete is still the gold standard for latency.

But if you want real GitHub Copilot tips to make it usable for larger projects, you have to stop treating it like a chat bot and start treating it like a very fast, very forgetful intern. Keep your files small. If a file hits 300 lines, the AI starts hallucinating the variable names from the top of the page. Split your code.

For those who want to dive deeper into how to actually structure prompts for these tools, checking out the Resources section can help you move past basic "write a function" prompts into actual system architecture.

The "Agentic" Shift: Windsurf and Cursor

The wild part is how fast we've moved from "autocomplete" to "agents."

Windsurf's "Flow" is basically a constant stream of context. It doesn't just suggest code; it suggests actions. "I see you're changing the API endpoint, should I update the frontend fetch calls too?" That's a massive jump from Copilot's "Here is a suggested line of code."

I tried implementing a complex RAG pipeline last Tuesday afternoon using Windsurf. It caught a type error in a dependency I hadn't even opened yet. Copilot would have let me commit that bug and find it 10 minutes later in the terminal.

My Unfiltered Verdict

Stop over-optimizing your Copilot prompts. If you are spending more than 30 seconds "engineering" a prompt to get the AI to understand your folder structure, you are using the wrong tool.

The Recommendation:
Switch to Cursor.

It's a fork of VS Code, so the migration takes exactly 4 seconds. The ability to hit Cmd+K and say "Fix this bug across all files" without manually opening every file is a productivity multiplier that Copilot simply cannot match right now. Copilot is a plugin; Cursor is an environment. There is a massive difference.

Breaking Out of the Tool Vacuum

The problem with most "top 10 tips" lists is that they focus on the tool, not the workflow. The real secret to AI coding isn't the software—it's the community you're in.

When I first started using Claude 3.5 for TypeScript, I was fighting with generic types for three days. I found a workaround in a forum where someone had already mapped out the exact prompt sequence to force the model to respect strict null checks. That's the value of a dedicated AI programming hub.

Joining the PromptCube homepage gives you access to people who are actually breaking these tools. We aren't talking about "how to write a loop"; we're talking about MCP (Model Context Protocol) and how to build agents that actually work. You can join by creating an account and jumping into the discussions—no fluff, just code and prompts.

A Quick Fix for "Stupid" AI Suggestions

Regardless of the tool, you'll hit the "infinite loop" bug where the AI keeps suggesting the same wrong fix.

The Fix:
Stop hitting "Accept." Delete the entire block of code. Open a new chat. Paste the error message and the specific line of code, then add this constraint: "Do not use [X library] or [Y method], as it caused a recursion error in the last attempt."

Giving the AI a "negative constraint" is 10x more effective than telling it what you do want.

If you're still using Copilot, stop relying on the ghost text. Use the chat sidebar, but feed it the exact file paths. It’s a chore, but it's the only way to keep it from hallucinating. Or, just move to Cursor and let the index do the work.