Automated Development Template Repositories: Github Actions and Efficient Project Template Practices
该项目所涉及Copilot Agent的自动化编程功能需要开启Github Copilot服务，并且可能会产生相关费用。
简介
在现代软件学习与开发中，“环境配置”往往是消磨开发热情的元凶。最近我沉迷于 Github Actions，利用云端工具直接构建、测试和部署项目，彻底告别了在本地电脑反复折腾环境的痛苦。通过简单的 .yml 工作流配置，我可以针对不同的系统、不同的编译器版本进行构建，实现真正的“环境无关”。相比以往安装一个依赖库就要耗费半天，Actions 提供的纯净、隔离且即用即走的运行环境，确保了每次构建都是从零开始，完全规避了历史遗留问题引发的“玄学 Bug”。
不仅如此，结合当下流行的 Vibe Coding 模式，我通过预设 copilot-setup-steps.yml 和 copilot-instructions.md，让 Github Copilot Agent 在云端实现全自动编程。这种“开箱即用”的体验，意味着我只需要清晰地描述需求，剩下的代码实现、单元测试、甚至是多平台部署，都可以放心地交给 AI Agent 和自动化流水线去完成。
即使面对一些不熟悉的高性能语言或框架，我也不再有“心理负担”。借助于这套自动化链路，我能跳过繁琐的本地搭建过程，直接进入核心逻辑的开发，开发效率得到了量级提升。为了方便自己和大家快速开启新项目，我将常用的开发环境封装成了几个通用的 项目模版。
核心原理
1. Github Actions：云端的“执行肌肉”
Github Actions 允许我们将开发工作流（Workflow）代码化。无论是代码推送（Push）、发起 PR，还是定时任务，都能触发预设的任务序列。其强大的生态插件（Actions Marketplace）让你可以像搭积木一样，轻松实现从“交叉编译 Rust”到“自动化 UI 测试”的复杂操作。
2. Github Copilot Agent：云端的“调度大脑”
如果说 Actions 是执行者，那么 Github Copilot Agent 就是大脑。通过在项目中配置引导文件，我们可以：
- 定制 Agent 环境：预装特定版本的编译器（如 Zig/Rust）或特定的 CLI 工具。
- 注入领域知识：通过指令文件告知 AI 你的架构偏好、注释风格以及必须通过的测试标准。
这种“AI 编排 + CI/CD 执行”的组合，让AI自动化从简单的“尝试理解”进化到了“编写->测试闭环”的层面。
项目模版推荐
以下模版均集成了 CI/CD 流程以及通过tag推送一键构建Release。为了保持长期演进，模版中默认包含 sync-template.yml 以实现与上游仓库同步。如果你希望项目完全独立，可以直接删除该文件。
由于个人目前没有 MacOS 的开发需求，这些模版对 MacOS 的适配优先级较低，部分模版可能暂不支持 MacOS 环境。
1. Zig 项目模版：高性能开发的先锋
- 核心逻辑：针对 Zig 语言精巧的构建系统（build.zig）进行优化，支持跨平台交叉编译。
- 自动化优势：内置自动化测试与静态分析。即便你本地没有安装 Zig 编译器，也可以通过云端 Action 验证代码的内存安全与性能表现。
2. Rust 项目模版：广范围平台/架构的全能选手
- 核心逻辑：深度集成
cargo/cross工具链，热门平台使用cargo，冷门平台使用cross。支持近乎所有架构/平台的构建能力（包括riscv/龙芯等平台）。 - 自动化优势：Rust 的编译速度通常较慢，但在云端 Actions 中，模板使用缓存机制加速构建。
示例项目：
webauthn-helper
3. Web 前端模版：极速 Vibe Coding 起点
- 核心逻辑：playwright + mock 的组合，赋予agent闭环检测能力，为构建现代 Web 应用设计。
- 自动化优势：内置多环境配置（Dev/Prod），支持一键部署至 GitHub Pages。由于配置了详尽的类型定义，Copilot Agent 在该模版下的代码生成准确率极高。
4. OpenWrt 插件模版：嵌入式开发的“降维打击”
- 核心逻辑：专为 LuCI 插件设计，支持 ucode/Lua （注意，现在luci社区由Lua全面转向ucode）。包含了 OpenWrt 插件开发的标准目录结构和示例代码，极大降低了入门门槛。带有开发、构建、签名到发布全流程模板代码。在本地打完tag再推送之后，会自动发布Release并支持发布到自定义opkg源（Github Pages）。
- 自动化Agent优势：集成了 Playwright + Docker 自动化 UI 测试。在 OpenWrt 极其碎片化的固件环境下，手动测试极其痛苦，而通过云端模拟环境，可以实现AI自主修改->调试。
示例项目：
luci-app-tailscale-community
luci-app-2fa
luci-app-webauthn
如何快速开始？
只需三步，即可开启你的自动化开发之旅：
- Use this template：点击模版仓库右上角的绿色按钮，创建一个属于你的新仓库。
- 唤醒 AI Agent：如果你想尝试“只写需求，不写代码”，确保已开启 Copilot 功能，在 GitHub 页面唤起 Copilot Agent 对话框，输入你的功能设想。Agent 会自动根据
copilot-instructions.md开始构建代码。 - 监控 Actions：每当你或 Agent 提交代码后，Github Actions 就会自动触发。你只需在
Actions标签页观察绿色的对勾，剩下的交给云端。
自动化和vibe coding并不是为了“偷懒”，而是为了将有限的精力从重复的劳动中释放出来，投入到真正的核心逻辑和创造性工作中。
The automated programming features of the Copilot Agent involved in this project require enabling the Github Copilot service and may incur related costs.
Introduction
In modern software learning and development, “environment setup” is often the culprit for dampening development enthusiasm. Recently, I have been obsessed with Github Actions, using cloud tools to directly build, test, and deploy projects, completely bidding farewell to the pain of repeatedly setting up environments on my local machine. Through simple .yml workflow configurations, I can build for different systems and different compiler versions, achieving true “environment-agnostic” development. Compared to the past where installing a dependency library could take half a day, the clean, isolated, and on-demand runtime environment provided by Actions ensures that each build starts from scratch, completely avoiding “mysterious bugs” caused by historical baggage.
Not only that, combining with the currently popular Vibe Coding mode, I have preset copilot-setup-steps.yml and copilot-instructions.md, enabling the Github Copilot Agent to achieve fully automated programming in the cloud. This “out-of-the-box” experience means I only need to clearly describe requirements; the rest—code implementation, unit testing, and even multi-platform deployment—can be safely entrusted to the AI Agent and automated pipelines.
Even when facing unfamiliar high-performance languages or frameworks, I no longer have that “mental burden.” With the help of this automation chain, I can skip the tedious local setup process and dive directly into core logic development, achieving a quantitative leap in development efficiency. To make it easier for myself and others to quickly start new projects, I have encapsulated the commonly used development environments into several universal project templates.
Core Principles
1. Github Actions: The “Execution Muscles” in the Cloud
Github Actions allows us to code our development workflows. Whether it’s a code push (Push), creating a PR, or a scheduled task, it can trigger preset task sequences. Its powerful ecosystem of plugins (Actions Marketplace) lets you easily create complex operations, from “cross-compiling Rust” to “automated UI testing,” just like building with blocks.
2. Github Copilot Agent: The “Scheduling Brain” in the Cloud
If Actions are the executors, then the Github Copilot Agent is the brain. By configuring guidance files in the project, we can:
- Customize the Agent Environment: Pre-install specific compiler versions (like Zig/Rust) or specific CLI tools.
- Inject Domain Knowledge: Inform the AI of your architectural preferences, commenting style, and mandatory testing standards through instruction files.
This combination of “AI Orchestration + CI/CD Execution” elevates AI automation from simple “attempts at understanding” to the level of “write -> test closed-loop.”
Recommended Project Templates
All templates below integrate CI/CD pipelines and support one-click Release builds via tag pushes. To ensure long-term evolution, templates by default include sync-template.yml to enable synchronization with the upstream repository. If you want the project to be completely independent, you can directly delete this file.
As I currently have no development needs for MacOS, the adaptation priority for MacOS in these templates is relatively low, and some templates may not yet support the MacOS environment.
1. Zig Project Template: The Pioneer of High-Performance Development
- Core Logic: Optimized for Zig language’s elegant build system (build.zig), supporting cross-platform cross-compilation.
- Automation Advantage: Built-in automated testing and static analysis. Even if you don’t have the Zig compiler installed locally, you can validate code memory safety and performance through cloud Actions.
2. Rust Project Template: The All-Rounder for a Wide Range of Platforms/Architectures
- Core Logic: Deep integration of
cargo/crosstoolchains; usescargofor popular platforms andcrossfor niche platforms. Supports build capabilities for nearly all architectures/platforms (including riscv/Loongson, etc.). - Automation Advantage: Rust compilation is typically slow, but the template uses caching mechanisms to accelerate builds in cloud Actions.
Example Project:
webauthn-helper
3. Web Frontend Template: The Rapid Vibe Coding Starting Point
- Core Logic: Designed for building modern web applications with the combination of playwright + mock, providing the agent with closed-loop detection capabilities.
- Automation Advantage: Built-in multi-environment configurations (Dev/Prod), supports one-click deployment to GitHub Pages. Due to detailed type definitions, the Copilot Agent’s code generation accuracy is extremely high under this template.
4. OpenWrt Plugin Template: “Dimensional Reduction” for Embedded Development
- Core Logic: Specifically designed for LuCI plugins, supporting ucode/Lua (Note: the luci community is now fully transitioning from Lua to ucode). Includes the standard directory structure and example code for OpenWrt plugin development, significantly lowering the entry barrier. Contains template code for the entire development, build, signing, and publishing pipeline. After creating a tag locally and pushing it, it automatically publishes a Release and supports publishing to a custom opkg source (GitHub Pages).
- Automation Agent Advantage: Integrates Playwright + Docker automated UI testing. In OpenWrt’s highly fragmented firmware environment, manual testing is extremely painful. Through cloud-simulated environments, it enables AI to autonomously modify -> debug.
Example Projects:
luci-app-tailscale-community
luci-app-2fa
luci-app-webauthn
How to Get Started Quickly?
Just three steps to begin your automated development journey:
- Use this template: Click the green button in the upper right corner of the template repository to create a new repository of your own.
- Activate the AI Agent: If you want to try “writing only requirements, not code,” ensure the Copilot feature is enabled. On the GitHub page, open the Copilot Agent dialog and input your functional idea. The Agent will automatically start building code based on
copilot-instructions.md. - Monitor Actions: Whenever you or the Agent submits code, Github Actions will trigger automatically. You only need to watch for the green checkmarks on the
Actionstab and leave the rest to the cloud.
Automation and vibe coding are not about “being lazy”; they are about freeing limited energy from repetitive work and redirecting it towards truly core logic and creative work.