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GitHub Copilot

Microsoft's AI pair programmer living inside your existing IDE

GitHub Copilot integrates directly into VS Code, JetBrains, and Neovim, offering inline autocomplete and a chat panel that understands your open files and terminal output. Its deep GitHub integration means it can pull context from pull request history, issues, and commit messages. Copilot is the most widely adopted AI coding tool in enterprise teams due to its security controls and compliance certifications.

Best for

Inline code completion while typing in any supported language

Writing boilerplate and repetitive code patterns quickly

Explaining unfamiliar code written by other team members

Generating commit messages from staged git diffs

Prompt tips for GitHub Copilot

#1

Write a descriptive function name and a JSDoc comment first — Copilot uses them as the primary completion signal

#2

In the chat panel, use '#file' to attach a specific file and 'explain this' to get plain-English walkthroughs

#3

Type a comment like '// TODO: handle the edge case where input is null' and Copilot will complete the implementation

#4

Ask 'What tests are missing for this function?' in the chat panel to identify coverage gaps

Sample prompts

// Function that takes an array of transaction objects with fields: id, amount, currency, timestamp. Returns a summary object with totalUSD, transactionCount, and averageAmountUSD using live exchange rates from an injected ratesService.
Explain line by line what this SQL query does, identify any performance issues, and rewrite it to use a CTE instead of nested subqueries: [paste query]
Look at my staged git diff and write a conventional commit message following the format: type(scope): description. Keep it under 72 characters.

Pros & cons

Pros

  • Native IDE integration with zero setup in VS Code and JetBrains
  • Enterprise security controls including IP indemnity and data privacy options
  • Copilot Chat understands terminal errors and open file context simultaneously

Cons

  • Autocomplete suggestions can confidently produce subtly wrong logic in edge cases
  • Requires a paid subscription — no meaningful free tier for professional use

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