Docker + AI Development Setup: Keep Team Coding Experience Consistent

“Works on my machine” is the most common team collaboration blocker. Docker environments paired with AI coding tools are the best combination to eliminate it for good.

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, or follow the Dev Containers spec to standardize environment configuration:

- 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.