Quick takeaways
- Copilot is strongest inside an IDE, where it can see context and suggest code as you type.
- Copilot Chat turns that context into a conversational helper for explanation and generation.
- Enterprise features add policy controls, but team governance is still your responsibility.
GitHub Copilot explained
Fireship covers GitHub Copilot's features, strengths, and where it fits in a developer workflow.
What Copilot is
GitHub Copilot started as an inline code-completion tool and has grown into a suite: inline suggestions, Copilot Chat for questions and generation, PR summaries and review comments, and workspace agents that can act across files and tools. Because it is built by GitHub, it integrates tightly with repositories, issues, and pull requests.
IDE support
Copilot works in VS Code, Visual Studio, JetBrains IDEs, Vim, Neovim, and more. Setup usually means installing the Copilot extension and signing in with a GitHub account. Once enabled, it provides ghost-text completions and access to Copilot Chat inside the editor.
| IDE | Copilot support | Notes |
|---|---|---|
| VS Code | Full | Best supported; native chat and agent features |
| Visual Studio | Full | Strong for .NET and enterprise workloads |
| JetBrains | Full | Works across IntelliJ, PyCharm, WebStorm, etc. |
| Vim / Neovim | Inline completions | Chat features vary by plugin |
Copilot Chat
Copilot Chat lets you ask questions about your code, generate snippets, explain errors, and suggest fixes. Because it shares the editor context, it can reference the current file, cursor position, and selection. For broader tasks, it can search across the workspace when configured.
Good prompts include file paths, expected behavior, and constraints. Bad prompts are vague and assume Copilot knows your intent. The better your context, the better the response.
PR reviews
Copilot can summarize pull requests, suggest review comments, and answer questions about diffs. This is useful for catching obvious issues and onboarding reviewers faster. It is not a replacement for human review: architecture, security, and product intent still need experienced eyes.
I treat Copilot review comments as a first pass. Accept what is correct, reject noise, and make sure the final review comes from someone who understands the change.
Workspace agents
Workspace agents extend Copilot with the ability to reason across files, run commands, and interact with external tools. They can plan multi-step tasks, propose edits, and execute actions with approval. This moves Copilot closer to dedicated coding agents, though the level of autonomy depends on the agent and your settings.
Enterprise setup
GitHub Copilot Business and Enterprise add seat management, policy controls, audit logs, and IP indemnity options. Admins can configure which repositories Copilot can access and how suggestions are handled. If you are rolling Copilot out across a team, start with a pilot group, define acceptable use policies, and train engineers to review AI-generated code.
For teams comparing enterprise AI coding costs, see AI model API pricing compared.
Strengths
- Deep IDE integration and broad editor support.
- Strong inline completion for common patterns and boilerplate.
- GitHub-native workflow for PR summaries and review comments.
- Enterprise controls and seat management for organizations.
Limitations
- Generated code can contain subtle bugs or outdated patterns.
- It may repeat training data; review for licensing and originality concerns.
- Multi-file refactoring is improving but still less aggressive than dedicated agent tools.
- Heavy users can hit rate limits or require seat upgrades.
Without AI vs. with AI
| Task | Without AI | With AI |
|---|---|---|
| Writing boilerplate | Developers type repetitive patterns, search snippets, and copy from old files. | Copilot suggests context-aware completions for common patterns and boilerplate as you type. |
| Code review | Reviewers manually scan every diff for obvious issues and style problems. | Copilot surfaces potential issues, suggests fixes, and speeds up first-pass review. |
| Explaining code | Engineers interrupt teammates or dig through documentation to understand unfamiliar code. | Copilot Chat explains selected code in plain language using the current file context. |
| Learning APIs | Developers switch between editor and browser tabs to find usage examples. | Copilot suggests idiomatic usage based on imports and surrounding code context. |
| Cross-file changes | Refactors across multiple files require manual search, replace, and testing. | Workspace agents can propose coordinated edits across files with approval. |
FAQ
Is GitHub Copilot free?
There is a free tier with limited usage. Paid individual, business, and enterprise plans offer more capacity and controls.
Can Copilot replace code review?
No. It can assist, but human review is still essential for correctness, security, and architecture.
Does Copilot work with private repositories?
Yes, with appropriate plan and permissions. Enterprise admins can configure access policies.
Which is better: Copilot or Cursor?
See the detailed comparison in Cursor vs GitHub Copilot.
Can I use Copilot without an internet connection?
Most Copilot features require an internet connection because models run in the cloud.
What data does GitHub Copilot use for suggestions?
Copilot uses file context, open tabs, and repository structure to inform suggestions. Enterprise plans offer more control over data retention.
Can Copilot write tests for me?
Yes. Copilot can suggest unit tests, but you should verify coverage, edge cases, and that tests actually fail when they should.
Is Copilot good for beginners?
It can be, especially for seeing idiomatic patterns. Beginners should still learn what the suggested code does rather than accepting blindly.
Does Copilot support all programming languages?
It supports many popular languages best. Less common languages may produce fewer or lower-quality suggestions.
How do I make Copilot follow my team's style?
Use custom instructions, provide examples in the repo, and review generated code against your style guide regularly.