Posts tagged: github

• Your Code Review Metrics Are Missing Part of the Story — Fast PR reviews can hide unreviewed work. Learn how to read code review metrics using coverage, eligible samples, P90 latency, and GitQuick's AWS snapshot.
• Same Code, More Pull Requests: Why Your PR Metrics Need Context — Feature merges, release promotions, and backports can change PR throughput and latency without changing review performance. Check the target branches behind the numbers.
• Copilot Can Now Hold the Merge Gate. Review Load Shows Whether You Need It. — GitHub is letting Copilot satisfy required approvals so high-throughput teams can keep shipping. GitQuick shows who already reviews and who already approves.
• When AI Reviews AI, “Time to First Review” Stops Meaning What You Think — GitHub is pushing parallel coding agents while new research finds 248,641 AI-authored pull requests reviewed by AI. The old latency metric now needs a subject.
• GitHub Capped Open Pull Requests. The Stale Queue Is Still Invisible. — On 6 August 2026 GitHub let organizations cap how many open PRs a user without write access can have at once. That throttles intake. It does not show which open PRs have already gone idle.
• Review Depth Is Now an Organization Setting: What to Measure Before You Pick a Default — On 7 August 2026 GitHub made Copilot code review effort levels generally available, including an organization-wide default that every repository inherits. How much review should your organization do? What to measure before you pick a default.
• GitHub Stacked Pull Requests: What Shipped and What to Measure — On 30 July 2026 GitHub put stacked pull requests into public preview: a chain of small PRs that depend on each other, instead of one huge change. Small PRs are easier to review. You still need to watch the large ones, not just typical size.
• GitHub Doesn't Tell You How Your Code Reviews Are Actually Going — The platform hosts millions of PRs but gives teams zero insight into review performance. Here's what you're missing.