GitHub Copilot

GitHub Copilot was the first mainstream AI coding assistant, and it remains the most widely adopted. Built by GitHub (owned by Microsoft) in partnership with OpenAI, it integrates directly into VS Code, JetBrains IDEs, Neovim, and other editors as a plugin. It works quietly in the background, offering code suggestions as you type.

What it does

Copilot watches what you are coding and suggests completions — from single lines to entire functions. It understands the context of your file, your comments, your function names, and the patterns in your codebase to offer relevant suggestions. You accept with Tab, reject by continuing to type. It also includes Copilot Chat, a conversational interface for asking coding questions, explaining code, and generating tests.

How it works in practice

Installation is simple: add the GitHub Copilot extension to your IDE, authenticate with your GitHub account, and suggestions start appearing immediately. There is no project setup, no configuration, and no learning curve beyond learning to recognise when Copilot's suggestions are helpful.

The experience is frictionless. As you write a comment describing what a function should do, Copilot generates the implementation. As you start writing a test, it generates the assertions. As you begin a database query, it suggests the SQL. This ambient assistance accumulates into significant time savings across a working day.

Copilot Chat adds a more interactive dimension. You can select code, ask Copilot to explain it, refactor it, find bugs, or generate documentation. It also supports slash commands for common actions like generating tests or fixing errors.

Where it excels

Copilot's greatest strength is its seamlessness. It does not require changing your editor, learning new tools, or altering your workflow. It simply makes your existing coding faster. For repetitive coding tasks — boilerplate, standard patterns, test setup, data transformations — Copilot eliminates most of the typing.

The GitHub integration is also a differentiator. Copilot understands pull requests, can summarise code changes, suggest review comments, and even generate PR descriptions. For teams already on GitHub, this is a natural fit.

Where it falls short

Copilot is a suggestion engine, not a reasoning engine. It excels at pattern completion but struggles with complex architectural decisions, multi-file refactoring, or tasks that require understanding the broader context of a project. For these, Cursor or Claude Code are significantly more capable.

The suggestions can also be subtly wrong in ways that are easy to miss. Copilot might generate code that looks correct but contains logical errors, especially for domain-specific logic. Developers need to review suggestions carefully, not accept them blindly.

The business case

At $10/month for individuals or $19/user/month for business, Copilot is the most affordable AI coding tool. GitHub's own research suggests developers complete tasks up to 55% faster with Copilot. For any team writing code, the ROI is straightforward.