Our take

Our verdict

7.3/10

AI coding assistant by GitHub/Microsoft offering code completion, chat, and agentic workflows across 70+ languages and major IDEs.

Best for: Individual developers and engineering teams embedded in the GitHub/Azure ecosystem who want a multi-model AI coding assistant

Overall score7.3/10

Capability8.0

Ease of use8.0

Value for money7.0

Reliability6.0

Support & docs7.0

Pros

Multi-model flexibility: switch between current OpenAI, Anthropic (e.g. Claude Opus 5.5) and Google (e.g. Gemini 3.8 Flash) models within one subscription
Deep GitHub integration enables Copilot-assisted code review, PR automation, and issue-to-code workflows natively
Agent Mode with MCP support transforms VS Code into a fully agentic development environment
Broad IDE coverage: VS Code, JetBrains, Visual Studio, Neovim, and Xcode all supported
Functional free tier (2,000 completions/month) lets developers evaluate before committing to paid

Cons

March 2026 incident in which Copilot injected promotional tips into 1.5M+ pull requests eroded developer trust
Research shows roughly 30% of AI-generated Python/JS snippets contain security vulnerabilities; output always needs review
Usage-based AI Credits billing (effective June 2026) makes costs unpredictable for teams running heavy agentic workflows
Suggestion quality degrades noticeably in large, complex, or highly proprietary codebases with distributed logic

Overview

GitHub Copilot is an AI-powered coding assistant developed by GitHub, a Microsoft subsidiary. First announced in June 2021 as a technical preview built on OpenAI's Codex, it has since evolved into a multi-model orchestration platform rather than a single-model autocomplete tool. Developers can switch between current models from OpenAI, Anthropic and Google within a single subscription; GitHub rotates the lineup frequently (in October 2026 it deprecated Claude Opus 4.7 and Gemini 3.5/3.6 Flash in favour of Claude Opus 5.5 and Gemini 3.8 Flash). On 1 October 2026 Copilot also added computer use for desktop apps.

The product scope has expanded significantly beyond completions. Agent Mode, now generally available in VS Code with Model Context Protocol support, enables Copilot to plan and execute multi-step coding tasks autonomously. The Copilot CLI reached general availability in February 2026, bringing Plan and Autopilot modes to the terminal. GitHub reports over 20 million all-time users.

On June 1, 2026, GitHub transitioned all plans to usage-based AI Credits billing, replacing fixed request quotas. This improves flexibility but introduces cost unpredictability for teams running sustained agentic workflows. Competition from purpose-built agentic IDEs such as Cursor and Windsurf has intensified, and some developer communities report a measurable decline in suggestion quality since late 2025 as the platform has been re-tuned for successive model swaps.

Key Benefits

Ecosystem depth: Native integration with GitHub pull requests, issues, Actions, and the Azure stack provides workflow coverage no third-party tool matches.
Model flexibility: Frontier model selection within a single subscription lets users optimize for speed, reasoning depth, or cost per task.
Agentic reach: Agent Mode combined with MCP and the Copilot CLI enables end-to-end automated coding from spec to merged PR without leaving the GitHub ecosystem.
Low barrier to entry: The free tier is functional enough for light users to evaluate the product before upgrading.

Use Cases

Daily code completion — Inline suggestions accelerate boilerplate, API usage, and repetitive patterns across 70+ languages in every major IDE.
Code review assistance — Copilot reviews pull requests inside GitHub, identifies bugs, suggests improvements, and generates review summaries at scale.
Agentic refactoring — Agent Mode plans and executes multi-file refactors, generates test suites, and iterates on CI feedback with minimal human intervention.
CLI-driven automation — Copilot CLI's Autopilot mode handles scripting, infrastructure tasks, and repository management from the terminal.

Code Completion

AI Coding

Developer Tools

Agentic Coding

Features

Real-time inline code completion across 70+ programming languages

Copilot Chat for conversational coding assistance inside supported IDEs and on GitHub.com

Agent Mode for autonomous multi-step coding tasks with Model Context Protocol tool integration

Copilot Edits for coordinated multi-file changes across a codebase

Copilot CLI with Plan and Autopilot modes for terminal-based agentic workflows

Copilot code review and pull request automation directly in GitHub

Switchable AI models per session from OpenAI, Anthropic, Google and others

Computer use for desktop apps and dynamic workflows in the Copilot CLI and app (October 2026)

Copilot Knowledge Bases (Enterprise) trained on private org repositories

Pricing

Free

$0/month

2,000 code completions per month
50 Copilot Chat messages per month
Access to base AI models
VS Code and GitHub.com integration

Pro

$10/month

Unlimited code completions
$15/month in GitHub AI Credits ($10 base plus $5 flex allotment)
Access to premium models (OpenAI GPT, Claude, Gemini)
Copilot Chat, Edits, and Agent Mode
Copilot CLI access

Pro+

$39/month

$70/month in GitHub AI Credits ($39 base plus $31 flex allotment)
Delegation to third-party coding agents
Priority access to frontier and reasoning models
All Pro features with higher usage allowances
Early access to new Copilot capabilities

Max

$100/month

$200/month in GitHub AI Credits ($100 base plus $100 flex allotment)
Built for sustained, agent-driven workflows
Unlimited code completions

Business

$19/user/month

$19/month AI Credits per user
Organization-level policy and access management
Audit logs and compliance reporting
SSO and SCIM support

Enterprise

$39/user/month

$39/month AI Credits per user
Copilot Knowledge Bases from private repositories
Fine-tuned models on organization codebase
Enterprise security, compliance, and dedicated support SLA

Agents AI

GitHub Copilot