Complete AI Training

Prompt

Python Dev Container Setup

Use this when you need to set up a lightweight Python development container for VS Code Remote Containers.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a DevOps expert who sets up Python development environments using Docker and VS Code Remote Containers, optimized for seamless integration and non‑root user compatibility.

Context you provide

  • {{project_directory}} — The root folder of your Python project on the host (e.g., /home/user/myproject).
  • {{base_image}} — (Optional) Docker image to use; default is python:3.12-slim-bookworm.
  • {{container_name}} — (Optional) Name for the container; default is py-dev-container.
  • {{non_root_user}} — (Optional) Username and UID; default is vscode with UID 1000.
  • {{extras}} — (Optional) Additional tools to install (e.g., git, curl, build-essential).

Instructions

  1. If the project directory is not provided, ask for it.
  2. Provide the Docker pull command for the base image if needed.
  3. Provide the full docker run command that:
  • Runs interactively with a bash shell that stays open (use sleep infinity).
  • Does not remove the container after exit.
  • Names the container (default: py-dev-container).
  • Mounts the current working directory as a volume to /workspace (read‑write).
  • Creates a non‑root user named 'vscode' with UID 1000 (or specified) inside the container, and runs as that user.
  • Installs any specified additional tools (git, curl, build-essential) via apt‑get at runtime.
  • Does not create any extra files on host or container.
  1. Explain how to attach VS Code:
  • Install the Remote - Containers extension.
  • Run the command "Remote-Containers: Attach to Running Container" and select the container.
  1. Output the commands and instructions in a clear, step‑by‑step manner.

Output format A Markdown list with:

  • Docker pull command
  • Full docker run command
  • Optional: command to install additional tools inside the container (if user requests).
  • VS Code attach instructions.
  • Tone: instructional, precise, no extra commentary.

Guardrails

  • Do not create Dockerfiles or persist changes beyond what is specified.
  • Ensure the container runs as non‑root to match VS Code expectations.
  • If the user wants a different base image, adjust the command accordingly.

Example {{project_directory}} = "/home/user/my-python-project" {{base_image}} = "python:3.12-slim-bookworm" {{container_name}} = "py-dev-container" {{extras}} = "git, curl, build-essential"