GitHub Copilot did for AI coding what the browser did for the internet: it put the capability in front of millions of people inside a tool they already used every day.
What it does
Copilot watches what you are writing and suggests the next line — or the next whole function — right in your editor. It draws on the surrounding code and comments to guess your intent, and you accept a suggestion with a keystroke. A chat mode adds the ability to ask questions about a codebase, request refactors, or get an explanation of a confusing block.
Where it shines
The clearest wins are on routine work: boilerplate, repetitive patterns, unit tests, and code in well-trodden frameworks. For a developer who knows what they want and just wants to type it faster, Copilot removes a lot of friction.
The honest trade-offs
Copilot’s suggestions are fluent whether or not they are correct. It can produce subtly buggy logic, outdated APIs, or insecure patterns, so review is not optional — it is part of the job now. Teams also weigh data and licensing questions, which is why enterprise tiers add stronger guarantees.
Who should use it
Developers who want to speed up everyday coding without changing tools. As with any assistant, the winning pattern is simple: Copilot drafts, you own the merge.