RenderCV Pod

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Why this project

Although RenderCV provides an official web app, as programmers, I prefer to work in familiar development environments. RenderCV already offers a powerful CLI, use it is more straightforward, and efficient.

This project provides a pre-configured development container (Dev Container) that integrates RenderCV and all its dependencies, enabling one to immediately start writing and generating professional resume documents in VSCode without installing any software locally.

What is in this container

This development container is built on Ubuntu and includes the following components:

1. Pixi Package Manager: Pre-installed with the latest version of Pixi (v0.62.2) for managing project dependencies
2. Python 3.12: Python 3.12 runtime installed via Pixi
3. RenderCV: RenderCV Python package installed via Pixi, including all extra features (full extra)
4. Visual Studio Code Extensions: Pre-installed extensions:
   • naumovs.color-highlight: Color highlighting
   • tamasfe.even-better-toml: TOML file support
   • adamraichu.pdf-viewer: PDF preview enhancement
   • redhat.vscode-yaml: YAML language support
5. Aider: AI pair programming in your terminal

Container configuration is located in the .devcontainer/ directory:

• Dockerfile: Defines the container image build steps, primarily installing the Pixi package manager
• devcontainer.json: Configures VSCode development container settings, including themes and extensions

How to use

Start the container

• Using Devpod: devpod up https://github.com/SilenWang/RenderCV_Pod
• Using Github Codespace: Start a codespace from this repo

Create or edit your config file yourself

You can refer to RenderCV Document to create and edit your config file

Create or edit your config file using aider

• Set your LLM API KEY accoring to aider document
• Run pixi run aider sample.yaml, and ask aider to help you edit the config file

Build your CV

Run pixi run cv sample.yaml, your CV will be in rendercv_output folder