By skyforbes 
Imagine this: It’s Friday afternoon, and your pull request (PR) is sitting in the queue, waiting for that one senior dev to carve out time for a review. The clock ticks, deadlines loom, and the cycle time stretches like taffy. Sound familiar? As a Technical Product Lead who’s juggled countless code reviews in fast-paced teams, I’ve been there — frustrated, yet excited by the promise of tools that could lighten the load without dumbing down our craft.
Enter GitHub Copilot, the AI coding assistant that’s not just writing code but transforming how we review it. By mid-2025, over 20 million developers worldwide are harnessing Copilot, with more than 90% of Fortune 100 companies on board. That’s a staggering leap from 15 million users just months earlier — a 400% surge in adoption. But here’s the catch: While AI can supercharge productivity, over-reliance risks turning sharp developers into code-copying zombies. In this guide, we’ll dive into setting up GitHub Copilot for seamless team code reviews, backed by real stats, practical steps, and tips to keep human ingenuity at the helm. Whether you’re a team lead optimizing workflows or a dev curious about AI-assisted code reviews, let’s build smarter, not harder.
The Rise of AI in Code Reviews: Why Now?
Learn more about Code Reviews, Copilot Style: Setup Secrets for Busy Teams