D

docker-image

pi-coding-agent inside an aicodebox container. One image, five ways in: interactive shell, one-shot API, OpenAI-compatible endpoint, MCP server, Telegram bot, and a cron scheduler that fires pi on whatever schedule you want. You talk to pibox. pibox talks to pi. pi talks to whatever LLM you point it at. Nobody cares about the middle.

OpenAI Codex CLI inside an aicodebox container. One image, five ways in: interactive shell, one-shot exec, OpenAI-compatible endpoint, MCP server, Telegram bot, and a cron scheduler. You talk to codexbox; codexbox talks to codex; codex talks to OpenAI — or your ChatGPT subscription.

Claude Code in Docker. Drop-in OpenAI-compatible API, MCP server, Telegram bot, and CLI — five interfaces, one image. Persistent sessions, file ops, always-on skill injection, and a full dev toolchain (Go, Python, Node, K8s, Terraform, databases) or a minimal image with just the basics.

Docker container with Alliance Auth web application

Multi-user AI-powered RAG beast that lets everyone talk to the same LLM simultaneously!

Docker container that checks mail inbox for mail of defined sender and forwards mail to group of receivers

Authenticator for integrating Mumble with Alliance Auth, featuring caching, environment variable configuration, Docker support, and Prometheus metrics.

Unofficial Lite Parser docker image for background jobs and endge functions.

This project demonstrates two DevOps automation approaches for deploying a simple Flask-based To-Do List application that mimics a LAMP stack but uses Docker containers instead of a traditional Apache/PHP environment.

The goal is to give hands-on experience with core DevOps tools including:

Terraform: to provision infrastructure or manage Docker resources

Ansible: to configure remote hosts and deploy containers

Docker: to containerize and run the application

GitLab CI/CD: to automate testing, provisioning, and deployment pipelines

The To-Do app is built using Flask (Python) with a MySQL database and supports basic CRUD operations.

This is a 3-person collaborative project, divided into two main tracks:

🔹 Project 1: todo-terraform-docker Deploy the Flask + MySQL app entirely using Terraform’s Docker provider — no Ansible, no VM provisioning. This is ideal for fast, local development and demonstrates infrastructure-as-code at the container level.

🔹 Project 2: ansible-todo-deployer Use Ansible to install Docker and deploy the containerized app on a remote VM (can be provisioned manually or via Terraform). This approach simulates a production-like environment where a host must be configured from scratch.

Both projects use GitLab CI/CD for automated execution.

An Ubuntu base image emerged from Phusion baseimage-docker

Ansible role for install Docker.