Git is unprepared for the AI coding tsunami
GitHub, the dominant platform built on Git, is struggling to handle the surge of AI-generated code and pull requests, leading to performance issues and user dissatisfaction. While Git itself remains robust, its surrounding infrastructure is seen as ill-equipped for the continuous, agent-driven workflows of modern development. Experts suggest that Git needs to evolve into a more seamless, continuous system to support the future of automated software development.
- ▪Mitchell Hashimoto, co-founder of HashiCorp, moved his open source project from GitHub due to frequent service disruptions and slow pull requests.
- ▪GitHub experienced a 206 percent year-over-year increase in AI-generated projects in 2025, primarily measured by the use of Bash shell scripts.
- ▪AI-generated code results in 10.83 issues per pull request on average, compared to 6.45 for human-written code, according to research from GitClear.
- ▪Peco Karayanev of Autoptic argues that Git needs to operate in a more continuous mode to accommodate agent-driven development workflows.
- ▪GitButler, a new Git client designed to improve usability, recently raised $17 million to help modernize Git for current development practices.
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