Copilot Code Review (CCR) combines large language model (LLM) detections with deterministic tools like ESLint and CodeQL, offering smarter code reviews and a streamlined handoff to Copilot for fixes. The integration of agentic tool calling gathers comprehensive project context, allowing for precise, low-noise feedback that accelerates clean code delivery. By employing CodeQL and leading linters, CCR enhances semantic analysis with reliable detections for security and quality issues. Developers gain confidence as critical vulnerabilities are effectively identified and explained. Furthermore, suggested changes can be seamlessly handed off to the Copilot agent using @copilot in pull requests, reducing manual clean-up and review cycles. Customizable workflows ensure that CCR aligns with team standards across various editors like VS Code, Visual Studio, JetBrains, and Xcode. Currently in public preview for Copilot Pro users, CCR is designed to adapt to your development processes, facilitating efficient collaboration and strong code quality.
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