GitHub Copilot
AskZyro PickThe best all-round AI coding assistant for developers already working with GitHub and supported IDEs.
Best for
Developers already using GitHub, writing and completing code inside an IDE, explaining unfamiliar code, debugging and refactoring, generating tests and documentation, reviewing pull requests, delegating contained development tasks to coding agents, and teams wanting centralised AI policies and governance.
Skip it if
Non-developers looking for a no-code website builder, people needing guaranteed correct or secure code, developers who do not use supported editors or GitHub workflows, organisations unwilling to send relevant prompts and code context to an external AI service, users wanting unlimited advanced-agent usage on the free plan, and people expecting AI to replace code review, testing or architectural judgement.
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Independently researched · Pricing checked 26 July 2026 · 8-minute read
The 30-second verdict
GitHub Copilot is one of the most complete AI development assistants available. Its biggest advantage is not simply code generation — it is how closely the assistant fits into GitHub, editors, terminals, pull requests and wider development workflows.
Inline completions remove repetitive typing, while Copilot Chat can explain code, suggest fixes, generate tests and answer questions using the surrounding project as context. Agent features can go further by planning changes, editing multiple files and handling delegated development tasks.
Read our full verdict ↓Collapse ↑
Copilot is particularly compelling for developers already using GitHub and VS Code because it requires relatively little workflow change. Paid plans unlock unlimited code completions, broader model choice and considerably more agent usage.
Its limitations matter, though. Copilot can produce code that appears convincing but is incomplete, insecure or simply wrong. Its understanding is constrained by the context available to it, and it may miss wider architectural problems. Every important suggestion should still be reviewed, tested and subjected to normal security checks.
Bottom line: Choose GitHub Copilot if you want a mature AI coding assistant embedded throughout an existing development workflow. Choose a more autonomous coding workspace if your priority is delegating whole projects with minimal interaction.
5.0
Output quality
4.5
Ease of use
4.5
Value for money
Reviewed by AskZyro Editorial Team · 26 July 2026
What is GitHub Copilot?
GitHub Copilot is an AI development assistant created by GitHub. It works across supported code editors, GitHub, the command line and other development surfaces to help users complete code, ask technical questions, understand repositories and carry out development tasks. While typing, Copilot can display an inline suggestion based on the current file, surrounding code and other available project context. Developers can accept the complete suggestion, accept part of it or continue writing without using it. Copilot Chat provides a conversational interface for coding tasks. It can explain selected code, propose fixes, generate tests, suggest refactors and answer questions about a project. Depending on the selected feature and permissions, Copilot can use repository information, open files, workspace details and other contextual sources to improve its response. Its agent features can plan and implement multi-file changes, run relevant development commands and prepare work for review. GitHub also supports third-party coding agents within its broader Copilot experience. GitHub says Copilot supports numerous programming languages and works especially well with widely represented languages including Python, JavaScript, TypeScript, Ruby, Go, C# and C++.
What you can do with GitHub Copilot
Write and complete code
Inline suggestions finish lines, functions and whole blocks as you type, cutting repetitive work.
Debug problems
Feed it errors, logs and failing tests and get likely causes with suggested fixes to verify.
Generate tests
Create unit tests, edge cases and fixtures from existing code in seconds.
Explain unfamiliar projects
Select any code and get a plain-language explanation of what it does and how it fits together.
Refactor code
Simplify, modernise or reorganise code while keeping the intended behaviour.
Review pull requests
Get AI-assisted feedback on proposed changes before a human reviewer sees them.
Create documentation
Generate docstrings, comments and README content grounded in your actual code.
Delegate multi-file tasks
Agent mode plans changes, edits multiple files and prepares work for your review.
Key features
Inline code completion
Copilot predicts code as you type and presents it as editable ghost text. Suggestions can range from the remainder of a line to complete functions or larger blocks.
Next edit suggestions
Copilot can predict both where the developer is likely to make the next change and what that change may contain.
Copilot Chat
Ask questions about syntax, errors, programming concepts, selected code or the wider project without leaving the development environment.
Agent mode
Give Copilot a broader objective and allow it to plan changes, edit multiple files and use development tools to work towards the requested result.
Cloud coding agent
Delegate development work that can be performed in a GitHub-managed environment and returned for human review.
Code explanation
Select unfamiliar code and ask Copilot to explain what it does, how it fits together and where potential issues might exist.
Debugging assistance
Use error messages, logs and surrounding code to generate possible causes and suggested fixes.
Test generation
Generate unit tests, edge cases, fixtures and initial test structures from existing code.
Refactoring
Ask Copilot to simplify, modernise or reorganise code while retaining the intended behaviour.
Code review
Request AI-assisted feedback on proposed code changes and pull requests.
Documentation
Generate docstrings, comments, README content and explanations based on code.
Multiple AI models
Paid plans provide model selection, allowing developers to choose between available models suited to speed, cost or more demanding reasoning tasks.
Copilot CLI
Use Copilot from the terminal for coding questions, command assistance and agent-based development workflows.
GitHub integration
Copilot works with issues, pull requests, repositories and other GitHub development workflows rather than existing only as a separate chat application.
Custom instructions and project context
Teams can provide repository-specific guidance to help Copilot follow coding standards, project conventions and preferred workflows.
MCP support
Supported Copilot experiences can connect to approved Model Context Protocol servers, allowing the assistant to use additional tools and context.
Pricing
Checked 26 July 2026| Plan | Price | Best for | What you get |
|---|---|---|---|
| Free | $0 | Trying Copilot | 2,000 completions monthly plus limited chat and agent usage |
| Pro | $10/month | Everyday individual development | Unlimited completions, model selection and $15 monthly AI credits |
| Pro+ | $39/month | Advanced individual use | Premium models and $70 monthly AI credits |
| Max | $100/month | Sustained, high-volume agent use | Priority features and $200 monthly AI credits |
| Business | $19/user/month | Managed teams | Pooled usage, access and budget controls, governance and IP protection |
| Enterprise | $39/user/month | Larger enterprise rollouts | More included usage and additional enterprise capabilities |
Strengths, limitations & watch-outs
What it does brilliantly
- Excellent integration with GitHub and popular IDEs
- Fast and useful inline code completions
- Handles chat, completion, review and agent workflows
- Supports numerous programming languages
- Strong contextual assistance inside existing projects
- Multiple AI models available on paid plans
- Useful free tier for evaluating the product
- Individual Pro plan is competitively priced
- Can generate tests, documentation and refactors
- Team plans provide policy and governance controls
- Works across editor, terminal and GitHub workflows
- Developers remain in control of accepting changes
Where it falls short
- Generated code can be wrong, insecure or incomplete
- Strong results depend on good project context and instructions
- Less-common languages may receive weaker suggestions
- Advanced agent usage can consume credits quickly
- Features and availability vary between plans and environments
- Individual-plan interaction data may be used for model improvement unless the user opts out
- Large or complicated architectures can exceed the context available to Copilot
- It cannot replace testing, code review or security assessment
- The expanding combination of plans, credits and models can be confusing
- Some valuable governance and legal protections require an organisational plan
What to know before paying
- Copilot output must be treated as unreviewed code — it may contain logical or syntax errors, introduce insecure patterns, or misunderstand the intended architecture
- Generated code may depend on outdated libraries or APIs
- It can produce plausible but inaccurate explanations
- Public-code matching may require licensing consideration
- Advanced agent usage consumes credits quickly on lower-tier plans
- Some governance and IP protections require Business or Enterprise plans
- Individual plan data may be used for model training unless opted out
Privacy & data
Copilot processes prompts, relevant code or project context, generated suggestions, engagement information and feedback required to provide the service. For individual Free, Pro, Pro+ and Max subscribers, GitHub may use interaction data — including prompts, outputs and code snippets — to improve AI models according to the user's account settings. Individual users can opt out. GitHub states that Copilot Business and Enterprise customer data is not used to train AI models.
Commercial use
GitHub Copilot can be used for commercial development, but generated code should still be checked for accuracy, security and any relevant licensing obligations. Matching or similar public code can still require licensing consideration. GitHub provides public-code filtering and code-referencing features to help users identify or manage some matches. Business and Enterprise plans include additional intellectual-property protection.
Screenshots & output examples
Alternatives to GitHub Copilot
| If you need… | Choose | Why |
|---|---|---|
| You want an AI-first code editor with deep repository interaction | Cursor | Best for repository-centric AI editing |
| You want a highly agentic coding environment and workflow | Devin | Best for agentic coding workflows |
| You want to delegate broader coding tasks to autonomous agents | OpenAI Codex | Best for autonomous task delegation |
| You want strong terminal-based reasoning across a codebase | Claude Code | Best for terminal-based codebase reasoning |
| You use Google's development and cloud ecosystem | Gemini Code Assist | Best for Google ecosystem developers |
| Your work is closely connected to AWS | Amazon Q Developer | Best for AWS-integrated development |
| You want to create and deploy applications in a browser-based environment | Replit Agent | Best for browser-based app creation |
More code & development tools to consider:
Devin
Code & Development
An autonomous AI developer for delegating coding tasks, creating pull requests and managing local or cloud coding agents.
Frequently asked questions
Is GitHub Copilot free?+
Yes. The free plan includes 2,000 completions per month and limited access to chat and agent functionality.
How much does GitHub Copilot cost?+
Individual paid plans currently start at $10 per month for Copilot Pro. Pro+ costs $39 per month and Max costs $100 per month. Team plans are priced per user.
Does GitHub Copilot write complete applications?+
It can help create substantial parts of an application and agent features can make multi-file changes. Complex applications still require human planning, review, testing, security checks and maintenance.
Can GitHub Copilot fix errors?+
Yes. It can interpret errors, inspect relevant code and suggest changes. Its diagnosis may be incomplete or incorrect, so proposed fixes must be tested.
Does GitHub Copilot support Python?+
Yes. GitHub identifies Python as one of the languages for which Copilot generally performs particularly well.
Does it support JavaScript and TypeScript?+
Yes. Both are strongly represented within Copilot's supported language coverage.
Can GitHub Copilot see my whole repository?+
Its available context depends on the feature, environment, repository, permissions and plan. It may use relevant files and repository information, but this does not mean every response contains a perfect understanding of the complete codebase.
Is GitHub Copilot safe?+
It includes filters, administrative controls and security-related features, but generated code can still contain errors or vulnerabilities. Human review and testing remain necessary.
Does GitHub Copilot use private code for training?+
GitHub says Business and Enterprise customer data is not used to train AI models. For individual plans, GitHub may use interaction data according to account settings, and users can opt out.
Can students get GitHub Copilot free?+
Verified students have access to a GitHub Copilot Student plan. Eligibility and included features should be checked directly with GitHub.
Is GitHub Copilot worth it?+
For developers who code regularly in supported environments, the $10 Pro plan offers strong value through unlimited completions, model selection and agent capabilities. Occasional users should try the free plan first.
Reviewed by AskZyro Editorial Team
We assess AI tools for output quality, ease of use, pricing, practical value and limitations. Where possible, we test tools directly and verify product and pricing details with the provider.
Last reviewed: 26 July 2026
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