Copilot was one of the first AI coding tools to go truly mainstream, and its core pitch hasn't changed much — it sits inside your editor and suggests the next line, function, or test as you type, trained on a vast amount of public code.
01 WHAT IT DOESWhere GitHub Copilot fits
GitHub Copilot is built by GitHub / Microsoft and is best known for in-editor code completion and refactoring. Here's a closer look at what it actually does well, what it costs, and how to get started if you want to try it yourself.
02 WHERE IT SHINESWhat it's genuinely good at
STRENGTHS
- Works directly inside VS Code, JetBrains IDEs, Neovim and more — no context-switching.
- Chat mode can explain unfamiliar code, write tests, or refactor on request.
- Deep GitHub integration makes it strong for pull request summaries and code review.
- Multi-file, workspace-aware suggestions have improved significantly since launch.
WORTH KNOWING
- Suggestions still need review — it can confidently propose code that doesn't quite fit.
- Less capable than a dedicated autonomous agent at large, multi-step engineering tasks.
- Free tier is quite limited compared to the paid individual plan.
What it costs
Pricing changes fairly often across this whole category, so treat these as a starting point rather than gospel — always check the official pricing page before committing.
How to actually try it
- Install the Copilot extension for your editor of choice.
- Sign in with a GitHub account and activate the free or paid plan.
- Start typing — accept suggestions with Tab, or open Copilot Chat for explanations.
- Try asking it to write tests or explain an unfamiliar file to get a feel for Chat mode.
Don't judge it from one prompt
Most people form an opinion of a platform from a single test question, which usually isn't a fair sample. Give GitHub Copilot a real task you actually need done — a document, a piece of code, a design — before deciding whether it's earned a spot in your toolkit.
