AI-assisted code reviews

- [Narrator] We've all been there. You're reviewing a pull request with hundreds of lines of changes trying to understand the business logic while simultaneously checking for bugs, performance issues, and compliance with coding standards. It's mentally exhausting, and important details often slip through the cracks, but it's one of the most important practices in software development. Traditional reviews suffer from inconsistency. Different reviewers focus on different aspects of the code, and junior developers might miss architectural concerns that senior developers would catch immediately. This is where AI assistance can help. Let's look at an example. Here's the method that handles customer invoice processing. At first glance, this looks reasonable. It processes pending invoices for customers, but let's see what the JetBrains AI assistant can uncover. We'll ask the AI, "What potential issues does this invoice processing method have? Consider performance, error handling and…