GitLab 宣布重新设计 Git 以适应机器规模，使 AI 代理成为软件开发的一等参与者
英文摘要
GitLab has revealed that Git is being reengineered for 'machine scale,' targeting a future where AI agents plan, code, review, deploy, and repair software under human oversight. The company envisions agent-specific APIs, machine-scale Git infrastructure, and agents acting as first-class users of development platforms. Earlier projects like GitLawb proposed similar 'Git for agents' concepts, which are now being validated by this shift. The move suggests software development may transition from humans using AI tools to humans managing teams of AI developers, requiring version control systems to evolve accordingly.
中文摘要
GitLab 披露 Git 正为“机器规模”进行重新设计，旨在支持 AI 代理在人类监督下进行软件规划、编码、审查、部署和修复的未来。该公司设想了面向代理的 API、机器规模的 Git 基础设施，以及代理作为开发平台一等用户的角色。GitLawb 等早期项目曾提出类似的“面向代理的 Git”构想，如今这一转变正在验证这些想法。此举表明软件开发可能从人类使用 AI 工具转向人类管理 AI 开发者团队，版本控制系统因此需要相应演进。
关键要点
GitLab is reengineering Git for machine scale to accommodate AI agents as first-class development participants.
GitLab 正在为机器规模重新设计 Git，使 AI 代理成为开发中的一等参与者。
AI agents will plan, code, review, deploy, and repair software, with humans providing oversight and architectural judgment.
AI 代理将负责规划、编码、审查、部署和修复软件，人类提供监督和架构判断。
This vision echoes earlier initiatives like GitLawb's 'Git for agents,' indicating the problem was real but perhaps ahead of its time.
这一愿景与 GitLawb 的“面向代理的 Git”等早期项目相呼应，表明问题真实存在但可能超前于时代。