GitHub COO Kyle Daigle disclosed earlier in 2026 that GitHub is now processing 275 million commits every single week — putting the platform on pace for 14 billion commits this year. GitHub's own Octoverse 2025 report celebrated nearly 1 billion commits as a record. That's a 14x projected increase in roughly 12 months.
The driver isn't 14x more engineers. It's AI agents operating at machine speed — opening dozens of PRs and pushing hundreds of commits in the time a human developer ships a handful.
This matters beyond infrastructure. It's a visibility problem.
When an agent works on a non-trivial task, it doesn't open one PR. It makes coordinated changes across services: updating an API contract here, adjusting a dependent consumer there, modifying shared config somewhere else. Those changes land as separate PRs in separate repositories. Reviewed in isolation — as most PR workflows force you to do — the cross-repo relationship disappears. Reviewers lose context. Risk accumulates.
The scale makes this worse. In Q1 2025, 34% of Claude Code sessions involved multi-file edits. By Q1 2026, that number hit 78%. Agents aren't making single-file tweaks anymore — they're making coordinated, cross-codebase changes by default.
For engineering teams managing microservices or multi-repo platforms, the tab-switching approach to PR review — one repo open per tab, notifications fragmented across providers — was already friction. At agent-generated volume, it's a structural gap.
The answer isn't to throttle agents. It's to upgrade the review layer to match how code is actually being produced in 2026: at scale, across repositories, with interdependencies that only become visible when you look at the full picture at once. If your team is navigating this, Code Board surfaces every open PR across every repo and provider in one unified board — with risk scoring and AI review built in to help teams keep pace without losing context.
