GitHub Copilot is an AI coding assistant built into popular IDEs, the command line, and GitHub itself. It completes code, answers questions, edits multiple files, reviews pull requests, and can work on repository tasks in a separate cloud environment.
For this review, we assessed its current feature set, official documentation, pricing, usage rules, privacy controls, and operational limits. The scores reflect everyday usefulness, code quality, repository awareness, speed, and the amount of supervision it still requires.
Inline autocomplete is still the core strength. Copilot watches what you’re writing and predicts the next several lines. For boilerplate, unit tests, standard API routes, data models, and regex, it’s consistently fast and accurate. The predictions feel natural because they’re drawn from the context of your active file and open tabs. When it works, and it works most of the time, you stop noticing it’s there. That’s the best compliment you can give an autocomplete tool.
Copilot Chat has improved. You can ask it to explain unfamiliar code, debug across files, and generate tests from a description. For quick lookups and code explanations, it saves you a trip to documentation. Agent mode takes it further by letting Copilot make changes across multiple files from a single instruction. It handles straightforward multi-file tasks well, but on larger or more complex projects, it can lose track of architectural boundaries and start drifting.
The Code Review agent is the newest addition. It runs asynchronously on pull requests, uses CodeQL to catch security issues, type errors, and missing logic. As a first pass before a human reviewer looks at the PR, it catches real problems. The downside is noise. Out of the box, it flags a lot of low-value formatting opinions and vague “consider refactoring” comments that clutter the diff. You’ll want to configure a .copilotinstructions file early to keep it useful.
The elephant in the room is billing. On June 1, 2026, GitHub replaced flat-rate premium requests with token-based AI Credits. Paid plans retain unlimited completions and next-edit suggestions, but chat, agent sessions, code review, CLI use, and other advanced features consume AI credits. Heavy agent use can therefore exceed the subscription allowance. Copilot remains good value, but teams now need usage budgets as well as seat budgets.
For most developers doing standard daily work, Pro at $10/mo is still a good deal. Completions alone justify the cost. But if you’re relying heavily on agent mode or premium models, budget for Pro+ at $39/mo or be prepared for overage charges.
A terminal-based AI engineer that performs best with clear, structured instructions.
A serious coding assistant for teams working in Google Cloud. The free ride is over.