GitHub Copilot Archives
…What’s new with GitHub Copilot coding agent GitHub Copilot coding agent now includes a model picker, self-review, built-in security scanning, custom agents, and CLI handoff. Here’s what’s…
…What’s new with GitHub Copilot coding agent GitHub Copilot coding agent now includes a model picker, self-review, built-in security scanning, custom agents, and CLI handoff. Here’s what’s…
Back to changelog This month, GitHub Actions introduces new capabilities, including custom runner autoscaling, expanded security controls for all users, and early access to new Windows and macOS runner images. GitHub Actions…
…AI & ML Hack the AI agent: Build agentic AI security skills with the GitHub Secure Code Game Learn to find and exploit real-world agentic AI vulnerabilities through five progressive challenges in…
…Use the new filter options in security views to focus triage and campaigns on what’s deployed and exposed. Assign critical security issues or campaigns to the GitHub Copilot coding agent directly…
…All open issues and future support will move to actions/runner-images . What’s not changing Image functionality and compatibility remain exactly the same. No packages are being added or removed as…
…List, view, and create discussions in GitHub CLI client apps Jun.10 Release Manage sub-issues, types, and dependencies from GitHub CLI client apps Jun.10 Improvement Dedicated security review command now…
Back to changelog CodeQL is the static analysis engine behind GitHub code scanning , which finds and remediates security issues in your code. You can now define custom sanitizers and validators using data…
Back to changelog CodeQL is the static analysis engine behind GitHub code scanning , which finds and remediates security issues in your code. We’ve recently released CodeQL 2.25.5 , which includes…
…security enterprise management tools Jun.09 Improvement Security validation for third-party coding agents application security copilot Jun.05 Improvement CodeQL 2.25.6 adds Swift 6.3.2 support and improves…
…You explain the issue, provide context, suggest a direction. The pull request goes quiet. Or the agent responds and misses the point entirely and runs in circles. You invest another round. Still…