Docker + AI Development Setup: Keep Team Coding Experience Consistent

2025-12-17 135 words One minute

Contents

Why Dockerize Dev Environments

Problem: everyone's local environment differs
- macOS / Linux / Windows
- Python 3.9 / 3.11 / 3.12
- Node 18 / 20 / 22

AI coding tools behave inconsistently across environments

Solution

1. Base Image

        
FROM python:3.11-slim

# install dev tools
RUN apt-get update && apt-get install -y \
    git curl vim \
    && rm -rf /var/lib/apt/lists/*

# install AI coding tools
RUN pip install openai anthropic

WORKDIR /workspace

2. AI Tool Integration

        
        
        
    
# .dockerignore
**/.git
**/node_modules
**/.cursor

# Dockerfile
COPY . .
RUN chmod +x /workspace/scripts/ai-setup.sh
ENTRYPOINT ["/workspace/scripts/ai-setup.sh"]

GitHub Codespaces

Don’t want to maintain Docker yourself? Use GitHub Codespaces:

- cloud dev environment
- pre-installed Docker
- AI extensions available
- usage-based billing

Conclusion

Dockerized dev environments + AI tools = team consistency.

Reduces “works on my machine” problems.