GitHub presents an overview of advanced Copilot code review features, focusing on the synergy between AI agents, CodeQL analysis, session views, and automation workflows for repository management.

What’s New with GitHub Copilot Code Review: CodeQL, Agents & More

This GitHub video introduces key updates to Copilot’s code review agent, seamlessly blending artificial intelligence with deterministic analysis. The agent leverages CodeQL, GitHub’s industry-leading code analysis engine, to enhance accuracy and coverage in identifying code issues.

Key Highlights

Session View: Visualize code review sessions for pull requests, enabling clear feedback and actionable insights.
Actions Workflow: Integrate code review activities directly into repository automation using GitHub Actions; review and automate with the Copilot agent inside the Actions tab.
CodeQL Integration: Benefit from in-depth, automated code analysis. CodeQL scans repositories for vulnerabilities and design flaws, delivering reliable detection alongside Copilot’s AI recommendations.
Results View: Get detailed inspection feedback, resolving issues and incorporating improvements found by both AI and deterministic systems.
Coding Agent Handoff: Developers can directly hand off unresolved comments and issues to the Copilot coding agent within pull requests, streamlining the review process and facilitating collaboration.

Benefits for Developers

Automate and optimize code reviews by combining AI insights with rule-based analysis.
Save time identifying vulnerabilities and design issues with CodeQL.
Enhance repository management and workflow integration using GitHub Actions.
Collaborate efficiently by assigning tasks to Copilot agents within pull requests.

For more details and tutorials, visit GitHub’s official blog or join their developer community on YouTube, X/Twitter, and other social platforms.

Stay up-to-date on GitHub Copilot and code review advancements to maximize productivity in software development.