📄 中文摘要
在最近的应用部署过程中，作者经历了繁琐的学习过程，涉及 Docker 和 Kubernetes 的多个方面。每一步都需要通过 Google 搜索来解决问题，如编写多阶段 Dockerfile、处理 CrashLoopBackOff 错误等。每次需要向团队演示快速的 POC 时，都会重复这一痛苦的循环。为了解决这一问题，作者构思了一个工具，能够自动处理这些常见的 DevOps 任务，简化部署流程，提高效率。
我厌倦了凌晨两点搜索 kubectl 命令。因此我构建了一个安全的本地 AI 代理来进行 DevOps。{ pip install orbit-cli }
📄 English Summary
I Got Tired of Googling kubectl Commands at 2 AM. So I Built a Local AI Agent That Does DevOps Safely. { pip install orbit-cli }
The author recently faced challenges while deploying applications using Docker and Kubernetes, taking much longer than anticipated due to constant Google searches for solutions to various issues. Each step, from writing multi-stage Dockerfiles to troubleshooting CrashLoopBackOff errors, required extensive online research. This repetitive cycle became frustrating, especially when needing to demonstrate quick proofs of concept to the team. To address this, the author envisioned a tool that could automate these common DevOps tasks, streamlining the deployment process and enhancing efficiency.