AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
尚未检测到更新。GitHub 发布版本后会显示在这里。
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权,自行管理介绍,无需管理员批准。
登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证PHPDocker.io website and environment (php and docker based) generator
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
PHPDocker.io
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PHPDocker.io is a web-based generator for Docker environments tailored for PHP applications. This repository contains both the website and the generator core, open-sourced under the Apache 2.0 license.
Visit us at phpdocker.io.
• PHP: 8.5
• Framework: Symfony 8.0
• Frontend: Yarn / Symfony Asset
• Storage: Redis
• Environment: Docker & Docker Compose
Fork, tweak & pull request.
Please follow PSR-12 code formatting standards, Symfony best practices, and maintain strict typing. Ensure all changes pass static analysis at level 9.查看完整 README ↗PHPDocker.io is a web-based generator for Docker environments tailored for PHP applications. This repository contains both the website and the generator core, open-sourced under the Apache 2.0 license.
Visit us at phpdocker.io.
Fork, tweak & pull request.
Please follow PSR-12 code formatting standards, Symfony best practices, and maintain strict typing. Ensure all changes pass static analysis at level 9.
See AGENTS.md for a more detailed guide for developers and AI agents.
The project comes with its own PHPDocker.io generated environment.
mkcert (for local SSL)makeThe recommended installation is running the make init script. This will automate the setup through Docker:
make init
This command performs the following:
mkcertphpdocker.local)Once finished, the application will be available at https://phpdocker.local:10000. You can head directly to the /generator route.
make start: Start the environment.make stop: Stop the environment.make shell: Open a bash shell inside the PHP container.make static-analysis: Run PHPStan (level 9).make unit-tests: Run PHPUnit.Running the app on Windows is possible using WSL2 and Docker. More info here: Docker Desktop WSL 2 backend. The app will be available at https://localhost:10000.