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Working Smarter with GitHub Copilot 1024 683 mezo

Working Smarter with GitHub Copilot

Hi Everyone !

Let’s be honest most of us didn’t start using GitHub Copilot by reading documentation cover to cover.
We just installed it and hoped it would magically make our lives easier 😄

The good news? It actually can but not in the way you might think.

The trick isn’t learning every feature.
👉 It’s learning when to use Copilot and what to delegate to it.


Don’t Start with Features: Start with Your Task

Instead of asking:

“Which Copilot feature should I try?”

Ask yourself:

“What part of this task is boring, repetitive, or time-consuming?”

That’s where Copilot shines.

Think of it like a teammate:

  • You keep the important decisions ✅
  • Copilot handles the heavy lifting 💪

Copilot Chat = Your Coding Buddy

Copilot Chat is where things get interesting. It’s not just about writing code it helps you think.

Understanding messy code (we’ve all been there…)

You open a file and… 😵‍💫

  • 5 dependencies
  • random business logic
  • unclear purpose

Instead of suffering, just ask Copilot to:

  • explain what’s going on
  • point out key dependencies
  • suggest a safe refactor

Boom. Instant clarity.


Writing tests without losing your sanity

Writing unit tests = necessary, but not always fun.

Here’s a better approach:

  1. Write one simple test yourself
  2. Let Copilot generate the rest

It can help you:

  • cover edge cases
  • catch tricky scenarios
  • think of things you might miss

Honestly, this alone can save hours.


Planning refactors like a pro

Before refactoring, don’t jump in blindly.

Ask Copilot to:

  • suggest a cleaner design
  • keep existing behavior intact
  • show which parts will change

It’s like doing a mini design review without scheduling a meeting 😄


Working across code, config, and docs

Real work isn’t just writing C#.

You’re often dealing with:

  • APIs
  • configs
  • OpenAPI specs
  • docs

Copilot can connect the dots and say:
👉 “Hey, if you change this… you might also want to update that.”

That’s when it starts feeling less like autocomplete and more like a real assistant.


Debugging like a human (finally)

Build failed? Tests broken? 🫠

Instead of Googling random errors:

  • paste it into Copilot
  • ask what it means
  • ask what to try next

You’ll get:

  • plain English explanations
  • targeted next steps

Way faster than jumping between Stack Overflow tabs.


Pro Tip: How to Write Better Prompts

Not all prompts are equal.

Bad:

“Fix this”

Better:

“Refactor this service to improve testability. Keep behavior the same and suggest test cases.”

See the difference?

Good prompts = better results.


When to Let Copilot Take Over (Agent Mode)

Sometimes, you don’t just want help you want the work done.

That’s where agent-style workflows come in.

Use them for things like:

  • adding missing tests
  • cleaning repetitive code
  • fixing build issues
  • updating multiple files

Basically, tasks where you can clearly say:

“Here’s what done looks like.”


Chat vs Agent (Simple Rule)

  • Use Chat → when you need ideas, explanations, or plans
  • Use Agents → when you want execution and results

Example:

  • “Explain this service” → Chat
  • “Refactor it and update tests” → Agent

Small Habits That Make a Big Difference

Want better results? Do this:

  • Be clear about what you want
  • Say what should NOT change
  • Give context (code, errors, etc.)
  • Always review the output (don’t blindly trust it 😄)

Treat Copilot like a junior dev very fast, very smart, but still needs guidance.


Final Thought

GitHub Copilot isn’t just about writing code faster.

It’s about:

  • thinking better
  • reducing boring work
  • staying in flow

Use it where it makes sense:

  • in your IDE
  • in your terminal
  • across your repo

And most importantly…

👉 Start with a real task from your backlog and let Copilot help.

That’s when it goes from cool tooldaily productivity boost 🚀

I hope that is helpful

May the knowledge be with you

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