AI‑Assisted Code Review
Explore how to use GitHub Copilot for AI-assisted code reviews to identify bugs, improve code quality, and provide constructive feedback that supports junior developers. Learn how to request reviews, apply suggestions, configure mentorship guidelines, and complete practical exercises for real-world code review scenarios.
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Why code review and Copilot?
Code reviews are important for catching bugs, improving code quality, and helping junior developers grow. They create space for learning and ensure that the whole team benefits from better coding practices.
But manual code reviews can be time-consuming, especially when they focus on minor style issues. That’s where GitHub Copilot becomes a powerful tool. Copilot can quickly draft review comments, allowing senior developers to shift their attention to more meaningful feedback, like improving design, fixing logic, and mentoring junior teammates.
Let’s see this in action with a real-world example.
Requesting a Copilot review
Imagine you’re a senior developer reviewing a pull request (PR) submitted by a junior teammate. The file is small, but you can provide thoughtful, helpful feedback.
Here’s the file they’ve submitted:
As you review, Copilot can help you spot key issues quickly. In this file, Copilot should detect the following:
Logic bug in
get_domainwhen"@"is missing.Validation flaw: Using
.matchinstead of.fullmatch.Vague variable names:
_RE,e,addr.Missing error handling in
local_partandmasked_email. ...