How to Use GitHub Copilot to Code 3x Faster

Follow this step‑by‑step guide and start writing code three times faster with GitHub Copilot

Before We Start: What You'll Walk Away With

After you finish this guide you’ll have a Copilot setup that feels as quick as ordering a favorite coffee with a single tap, so you never waste minutes staring at half‑written suggestions.

You’ll master a handful of prompt patterns and keyboard shortcuts that cut the time you spend typing and correcting code by up to three times, much like using Google Maps to skip traffic snarls instead of guessing the route.

Finally, you’ll walk away with a repeatable, language‑agnostic workflow that lets you pack a new project’s logic into your editor the way you’d zip a suitcase for a weekend trip—everything in its place, ready to go.

• Install and configure Copilot for optimal speed

• Use prompt patterns and keyboard shortcuts that cut coding time by up to 3×

• Apply a repeatable workflow to any language or project

• Turn on Inline Suggestions and set suggestion delay to 0ms so ideas appear instantly.

• Map Ctrl+Space to “accept line” and Alt+] to “skip suggestion,” keeping the rhythm steady.

• Adopt the “Ask‑Then‑Refine” prompt: start with a brief comment, let Copilot draft, then tweak with a focused question.

Keep this cheat sheet handy; it’s the quick‑reference you’ll reach for whenever you fire up a new repo.

What GitHub Copilot Actually Is (No Jargon)

GitHub Copilot is an AI‑powered autocomplete that watches the code you type and suggests the next line or whole block, matching the surrounding context. It pulls patterns from millions of public repositories, so the suggestions feel like they were written by someone who already knows the project.

Think of it like the predictive text on your smartphone, but instead of finishing a single word, it drafts complete sentences—only those sentences are lines of code. You start a function, and Copilot hands you a ready‑made implementation, just as your phone might finish a message you’ve begun.

The 4 Mistakes Everyone Makes With GitHub Copilot

Most developers hit a wall with GitHub Copilot speed because they repeat the same four missteps.

• Ignoring the settings panel and leaving Copilot on default, which yields generic suggestions. It’s like ordering a burger without telling the server you’re vegetarian – you’ll get something, but it won’t suit you.

• Accepting every suggestion without reviewing, leading to bugs and wasted time. Think of it as a GPS that reroutes you automatically; you still need to glance at the map before turning.

• Using Copilot only for single‑line completions instead of whole‑function generation. It’s comparable to packing a suitcase one item at a time instead of laying out the whole outfit first – you miss the chance to see the bigger picture.

• Not leveraging context‑aware comments or ‘// TODO:’ prompts to steer the model. This is like sending a vague text to a friend and expecting a detailed answer; the clearer the prompt, the better the response.

• Fix #1: Open the settings (Ctrl+, → Extensions → Copilot) and enable “Suggest whole lines” and “Enable advanced context”.

• Fix #2: Treat each suggestion as a draft; run eslint or your test suite before hitting Tab.

• Fix #3: Ask for full functions with prompts like “// generate a fetch wrapper for the API”.

• Fix #4: Write precise comments such as “// TODO: sort users by lastLogin descending”.

Fix these, and Copilot stops being a hindrance and starts pulling its weight.

How to Use GitHub Copilot: Step‑by‑Step

Ready to turn Copilot into a real pair‑programmer? Follow these exact actions.

• Install the GitHub Copilot extension from the VS Code marketplace, then sign in with your GitHub account. It’s like adding a power‑tool to your toolbox – you need to plug it in before you can use it.

• Open Settings → Extensions → GitHub Copilot. Set Inline Suggestion Delay to 0.2 s and turn Enable Telemetry off. This makes suggestions appear almost instantly, just as a restaurant’s “fast lane” gets you your dish quicker.

• At the top of a new file, type a comment that serves as a Prompt Template. Example: // Write a React component that fetches user data. Think of it as writing a quick order slip for a chef.

• Trigger a full‑function suggestion with Ctrl + Enter (Windows) or Cmd + Enter (Mac). It’s like pressing “Enter” on a GPS to get the whole route at once.

• Review the code. Press Tab to accept, or Arrow‑Down to scroll through alternatives. This mirrors flipping through menu options until you find the perfect dish.

• If the suggestion isn’t clear, run Copilot: Explain. The AI will break down its reasoning, similar to a friend explaining why they chose a particular travel path.

• Save your favorite prompts in a personal copilot-prompts.md file. Keep it handy like a cheat‑sheet for recurring orders.

• Tip: Keep the prompt concise; extra fluff slows the AI down.

• Tip: Use language‑specific comment markers (# for Python, // for JavaScript) to guide the model.

• Cheat sheet: Ctrl+Enter / Cmd+Enter → trigger, Tab → accept, Arrow‑Down → next, Copilot: Explain → understand

A Real Example: Building a CRUD API with Node.js

Maya, a junior backend developer, needs a quick CRUD endpoint for her task‑manager app. She opens tasks.js in VS Code, remembers the prompt pattern that gave her the best GitHub Copilot speed, and gets to work.

• She types a comment that describes the whole operation:

// Express route for creating a task, with validation

• She hits Ctrl + Enter. Copilot instantly suggests a complete handler, including express.Router(), a Joi schema, and a try/catch block.

• She accepts the suggestion, runs the existing Jest test suite, and tweaks the Joi rules to match the spec. The test passes on the first run.

• She repeats the same three‑step rhythm for the remaining routes—GET, PUT, DELETE—changing only the comment text.

• Write a clear comment that states the intent.

• Trigger Copilot with Ctrl + Enter (or ⌘ + Enter on macOS).

• Run tests immediately; adjust validation or response shape as needed.

By treating each route as a “menu item” she orders from Copilot, Maya cuts the implementation time from roughly four hours to about ninety minutes. The code looks like this:

router.post('/tasks', async (req, res) => {
  const { error, value } = taskSchema.validate(req.body);
  if (error) return res.status(400).json({ error: error.details[0].message });
  const task = await Task.create(value);
  res.status(201).json(task);
});

With the pattern locked down, adding new endpoints feels as fast as ordering a coffee—just describe what you want, confirm, and move on.

The Tools That Make This Easier

Grab the tools that turn Copilot from a novelty into a real speed‑boost.

• VS Code (free) – Think of it as the kitchen where you’ll prep everything. The built‑in Copilot extension plugs in instantly, and the marketplace offers dozens of extensions that keep the workflow smooth.

• GitHub Copilot – The AI chef. The free tier handles most suggestions; upgrade to $10/mo Pro for faster response and priority access to the newest models.

• Tabnine (free tier) – A backup sous‑chef. Install it alongside Copilot to compare autocomplete quality on the same file; you’ll spot which engine writes cleaner snippets for your stack.

• CodeQL (free on GitHub) – Your safety inspector. Run a quick scan on any Copilot‑generated pull request; it flags common security smells the way a metal detector spots hidden risks in luggage.

• Promptable (freemium) – A personal recipe book. Save, version, and share the exact prompts that consistently give you the fastest results, then pull them into VS Code with a single click.

With these five in place, you’ve set up a workflow that feels like ordering your favorite meal through a well‑tuned app: you select, confirm, and the result arrives ready to eat.

Next, we’ll stitch them together into a repeatable daily routine.

Quick Reference: GitHub Copilot Cheat Sheet

Grab this cheat sheet and keep it open while you code – it’s the quick‑order menu for turning Copilot into a real pair‑programmer.

• Install Copilot → VS Code extension. Think of it like adding a new app to your phone; you just click “Install” and you’re ready to use it.

• Settings: delay 0.2 s, telemetry off, suggestion count 3. It’s like setting a GPS to give you three route options instantly, without the background data collection.

• Prompt pattern: // [Action] + brief description. Write it like a restaurant order: “// Create function fetchData – get JSON from API.”

• Shortcut: Ctrl/Cmd + Enter = full‑function suggestion. Press it the way you’d tap “Order now” on a delivery app to get the whole dish delivered.

• Review → Tab = accept, Arrow Down = next suggestion. Imagine packing a suitcase: you look at each item (suggestion), slide the one you like into the bag (Tab), or move to the next (Arrow Down). For example, Alex types a loop, hits Arrow Down, and picks the third suggestion that uses map instead of for.

• Use ‘Explain’ to validate logic. It works like asking a friend to read your recipe and point out missing steps.

• Save favorite prompts in copilot-prompts.md. Treat the file like a sticky note pad for your go‑to orders.

• Speed tip: Keep the delay short and suggestion count low; Copilot then feels like a fast‑food drive‑through rather than a sit‑down service.

• Safety tip: Turn telemetry off to avoid extra data traffic, just like switching off location services.

• Maintenance tip: Review saved prompts monthly; prune anything you no longer use.

Bookmark this list and let GitHub Copilot speed become second nature.

What to Do Next

Pick one of these steps and get the speed boost rolling right now.

• Easy: Open VS Code, install the GitHub Copilot extension, and type a simple “Hello World” prompt. It’s like ordering a coffee — you tell the barista what you want and you get it instantly.

• Medium: Create a file called copilot-prompts.md and jot down five snippets you reach for daily—API call, loop, validation, etc. Think of it as packing a suitcase: you pre‑place the items you know you’ll need so you don’t waste time rummaging through the closet.

• Hard: Build a small feature, such as a login form, using only Copilot‑generated code. When it runs, fire up CodeQL to scan for issues. This is the “Google Maps” test: let Copilot plot the route, then double‑check the directions yourself.

Give one of these a try and watch your GitHub Copilot speed climb.

💬 Got a Copilot tip that saved you time? Drop it in the comments – we’d love to hear it!

About the Author

Abdullah Sheikh is the Founder & CEO at Exteed, where he leads a team of skilled developers specializing in Web2 and Web3 applications, Custom Smart Contracts, and Blockchain solutions.

With 6+ years of experience, Abdullah has built CRMs, Crypto Wallets, DeFi Exchanges, E-Commerce Stores, HIPAA Compliant EMR Systems, and AI-powered systems that drive business efficiency and innovation.

His expertise spans Blockchain, Crypto & Tokenomics, Artificial Intelligence, and Web Applications; building reliable and smooth web apps that fit the client’s goals and requirements.

📧 info@abdullah-sheikh.com · 🔗 LinkedIn · 🌐 abdullah-sheikh.com