OpenClaw 展示了 AI 智能体如何将 10 多位兼职开发者变成一支超级团队，单日重构百万行代码。做开源或大型代码重构的团队值得看看这种协作模式，尤其是如何用 AI 测试来验证进度。
开源项目 OpenClaw 在一天内完成了 3000 次代码提交，由 10 到 15 位兼职维护者（均有全职工作）协作完成。首席架构师 Vincent Koc 透露，凌晨 2 点他与 NVIDIA 的 Peter 运行了 60 到 70 个 AI 智能体，贡献了 2700 次提交，修改了近百万行代码，触及 82% 的核心代码库，并在一夜之间交付了插件架构。成功的关键在于 AI 生成的过度拟合单元测试——只要测试通过，团队就知道方向正确。Vincent 还指出，识别 AI 何时在胡扯是一项被忽视的技能：AI 的异常不在于它做了什么，而在于它如何解释自己。
OpenClaw hit 3,000 commits in a single day. 10 to 15 maintainers. All with day jobs. @vincent_koc (...
OpenClaw hit 3,000 commits in a single day. 10 to 15 maintainers. All with day jobs. @vincent_koc (Chief Architect of OpenClaw) explains how the factory actually works. youtube.com/watch?v=pmoDeA… The great refactor: 2 AM, Vincent and Peter at NVIDIA, 60 to 70 agents running between them. 2,700 commits. Close to a million lines changed. 82% of the core codebase touched. Plugin architecture shipped by morning. The saving grace: overfitted unit tests AI code loves to generate. As long as they went green, they knew they were close. Knowing when your agent is bullshitting you is the skill nobody talks about. "It doesn't sound off because of what it's doing. It sounds off because of how it's explaining itself to me. It's waffling." 2025 was about token maxing. 2026 is about not wasting them. 💬 3 🔄 2 ❤️ 6 👀 421 📊 6 ⚡