GitHub Copilot

GitHub Copilot is worth it if your team already uses GitHub, VS Code or JetBrains as its base: it’s the coding assistant most integrated into the real day-to-day development workflow, with no tool-switching and nothing to install outside the editor. It was one of the first AI coding assistants to go mainstream, and it still autocompletes code as you type, answers questions about the repository, and carries out tasks more autonomously through its agent and code review features.

Its strong point is still integration: it lives directly in VS Code, JetBrains and GitHub.com, so adding it to an existing workflow is nearly instant. What changed in 2026 is how it’s billed: GitHub replaced its “premium requests” system with an AI-credits model based on token consumption, closer to how other AI providers bill for usage. Basic code completion remains unlimited on every paid plan; what draws down credits is using agents, automated code review, or premium models like Opus.

In practice

This shows up in tasks like getting full code suggestions while writing a function, asking the chat to explain what a repository file does before touching it, handing an agent a full task (say, “add tests for this module”) and reviewing the result before merging, or using Copilot’s automated code review as a first pass before a human reviews the pull request.

Plans and pricing (2026)

• Free (USD 0) — 2,000 code completions per month, access to several models (including lighter options like Haiku 4.5 or GPT-5 mini), Copilot CLI included, and limited chat and agent usage.
• Pro (USD 10/mo) — unlimited code completion and next-edit suggestions, access to cloud agents and code review, third-party agent support, model selection, and USD 15 in monthly AI credits included.
• Pro+ (USD 39/mo) — access to premium models (including Opus), audit logs, considerably more usage headroom than Pro, and USD 70 in monthly AI credits included.
• Business (USD 19 per user/mo) — built for teams, with centralized admin policies and AI credits matching the per-user plan price.
• Enterprise (USD 39 per user/mo) — enterprise governance, additional controls, and the highest per-user AI credit allowance.

Verified students through the GitHub Student Developer Pack can access features normally reserved for paid plans for free, which is still in place and a real differentiator for anyone currently studying. For teams, the choice between Business and Enterprise usually comes down more to governance needs (SSO, data retention policies, controls over which models each team can use) than to the AI itself, which is the same underlying technology at both tiers.

For this review we tested autocomplete on a real project, chat over the repository, and a task delegated to an agent, comparing the experience inside VS Code against other coding assistants in the category, on the Pro plan.

What to know before choosing

The most recent and most relevant change is the shift to usage-based AI credits: while code completion stays unlimited, any task that relies on an agent or a premium model draws down credits, and those credits can run out faster than you’d expect on projects where a lot of work gets delegated to agents. That makes estimating the real monthly cost less straightforward than with a traditional flat-price plan, especially for teams just starting to use agent features heavily.

Worth it for teams and developers already living in the GitHub ecosystem who want AI to be part of the editor, not a separate tool. If your workflow leans heavily on autonomous agents and premium models, it’s worth monitoring credit usage from the start so you’re not surprised at the end of the month; if your use is mostly traditional autocomplete, the Pro plan is more than enough.

Compared with alternatives like Cursor, Copilot’s edge isn’t so much AI depth as distribution: it’s already available inside the tools most development teams use every day, without adding a new editor to the stack.