Git is unprepared for the AI coding tsunami

"“This is no longer a place for serious work if it just blocks you out for hours per day, every day,” he wrote. Hashimoto was quick to defend Git itself: “The issue isn't Git, it's the infrastructure we rely on around it: issues, PRs, Actions, etc.”"

"GitHub itself has been experiencing heavier-than-expected traffic thanks to a proliferation of AI-generated pull requests. In 2025, GitHub saw a 206 percent year-over-year growth in AI-generated projects measured by the use of Bash shell scripts, a widespread way of running agents. And more AI code means more bugs. Research from GitClear found that AI-generated code heaped 10.83 issues per pull request, compared to 6.45 for the old-fashioned human variety."

"“Agents are nudging us toward a continuous flow,” warned Peco Karayanev, co-founder of DevOps platform provider Autoptic, which bridges Git-based deployments with observability tools for agent-based remediation. Autoptic's entire user base runs on some form of Git, either homebrew or from a service provider like GitLab. Given the volume and magnitude of changes across repos, “we need git to start operating in a more continuous mode,” Karayanev wrote in an email interview."

Mitchell Hashimoto announced moving the Ghostty terminal emulator project from GitHub due to frequent service disruptions and slow pull requests. He said the problem is not Git itself but the infrastructure around it, including issues, pull requests, and automated actions. GitHub has also faced heavier traffic, partly from AI-generated pull requests. In 2025, AI-generated projects using Bash shell scripts grew 206% year over year, and AI-generated code produced more issues per pull request than human-written code. Agentic development is increasing continuous flow needs, raising questions about how the software development lifecycle should evolve and whether Git should operate more continuously. Git operations used in GitOps-style automated deployments still require human management.

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