GitHub Copilot
Microsoft's AI coding assistant across VS Code, JetBrains and the GitHub web, with background agents that open pull requests and org-level policy controls.
Overview
Copilot started as autocomplete and is now four things stapled together: inline completions, a chat sidebar, a cloud coding agent that opens pull requests on its own branch and a CLI. Custom agents are markdown files, agent profiles that declare a prompt, a tool list and a set of MCP servers, which means a team can encode its review conventions once and have every agent run inherit them. Completions stay free and unlimited on paid plans. Agent runs and frontier model calls are what draw down credits.
The reason engineering leads keep it on the shortlist has little to do with model quality. Microsoft indemnifies customers against copyright claims on suggested code. Admins can disable specific models per organisation, enforce public-code filtering and pull audit logs. It runs in VS Code, Visual Studio, JetBrains IDEs, Neovim and Xcode, so you are not forcing a whole team into one editor. For a 200-person org already on GitHub Enterprise, procurement is a checkbox rather than a six-week security review.
Where it loses is autonomy. On work that needs several files changed in sequence with test feedback in the loop, Cursor's agent and Anthropic's terminal agent both get further before a human has to step in. Copilot's agent is good at the well-scoped ticket: add the test, fix the lint rule, bump the dependency and explain the diff. Treat it as the org-wide floor and let the teams doing hard refactors expense something sharper.
Key Features
- ✓ Cloud coding agent that works on its own branch, self-reviews the diff and opens a pull request
- ✓ Custom agents defined as markdown agent profiles declaring prompts, tool lists and MCP servers
- ✓ Inline completions free and unlimited on every paid plan, with credits drawn only by agent runs and frontier model calls
- ✓ Runs in VS Code, Visual Studio, JetBrains IDEs, Neovim and Xcode
- ✓ Org policy controls: per-model blocking, public code filtering, audit logs and SSO
- ✓ IP indemnification from Microsoft covering suggested code
Where it holds
- • Cheapest credible enterprise seat in the category at $19 per user per month for Business
- • Procurement is close to a checkbox for any org already on GitHub Enterprise
- • Editor-agnostic, so a team does not have to standardise on one IDE to adopt it
- • Indemnification and per-model org policy are things most rivals still do not offer at all
Where it breaks
- • The June 2026 move to token-metered AI Credits makes monthly spend far harder to forecast than the old fixed premium-request counts
- • 2x promotional credits for Business and Enterprise expire at the end of August 2026, so any cost model built this summer understates the real number
- • Agent mode stalls on multi-file refactors that Cursor's agent and Anthropic's terminal agent finish
- • Completion quality is no longer best in class; suggestions read as plausible rather than idiomatic to your codebase
My Take
The billing changed under everyone's feet on 1 June 2026, when premium requests became token-metered AI Credits. Business seats now carry 1,900 credits a month at $19 per user and Enterprise 3,900 at $39, with the 2x promotional credits running out at the end of August 2026, so any spend model built this summer is about to look optimistic. Nobody picks it for agent quality. They pick it for IP indemnification, SSO, org policy that blocks specific models per repo and a coding agent that lives where the pull requests already are.
Quick Info
- Pricing:
- freemium
- Openness:
- Proprietary
- Starting at:
- Free tier available. Pro $10/month, Pro+ $39/month, Max $100/month. Copilot Business $19 per seat/month with 1,900 AI Credits included, Copilot Enterprise $39 per seat/month with 3,900 AI Credits. Billing changed on 1 June 2026 when premium requests were replaced by token-metered AI Credits. Business and Enterprise are running 2x promotional credits through August 2026, so effective cost rises once that ends.
- Added:
- Aug 2026
- Updated:
- Aug 2026
Use Cases
Judge it on your own work
The notes above say where GitHub Copilot holds and where it breaks. The fastest check is your own workload.
Visit website ↗GitHub Copilot compared head to head
Alternatives to GitHub Copilot
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Trae
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Qoder
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