A living repository of hands-on engineering notes, experiments, and deep dives β by a curious developer exploring the edges of modern tech.
This repo is my personal second brain β but written so anyone can learn from it.
If you are:
- π A Python / Django developer curious about DevOps and AI
- π³ Someone learning Docker beyond just
docker run - π€ A developer wanting to run AI locally without paying for cloud APIs
- π Someone who learns best through hands-on guides with real examples
...then you're in the right place.
Practical Docker guides beyond the basics β from containers to local AI inference.
| Guide | Description | Level |
|---|---|---|
| π€ Running AI Locally with Docker | Replace GitHub Copilot with a free, private, GPU-accelerated local AI using Docker Models + Continue.dev | Intermediate |
Short, punchy learnings from daily development work.
| Date | Learning |
|---|---|
| 2026-03-28 | Docker Model Runner needs TCP enabled explicitly for host processes to connect |
django-notes/ β DRF patterns, ORM deep dives, deployment tips
ai-experiments/ β Building with local LLMs, MCP integrations
system-design/ β Architecture decisions and trade-offs
I don't just read docs. I break things, fix them, and write down what I learned.
Every guide in this repo was born from a real problem I faced β not a tutorial I followed. That means:
- β Real errors you'll actually encounter
- β Real fixes that actually work
- β Real context on why, not just how
EXPERTISE = {
"primary": ["Python", "Django", "Django REST Framework"],
"devops": ["Docker", "Docker Compose", "Linux"],
"databases": ["PostgreSQL", "Redis"],
"exploring": ["Local AI", "LLMs", "MCP", "AI Agents"],
}If any of this helped you β a β on the repo means a lot!
Found an error or want to discuss something? Open an issue β I'm always happy to talk tech.
π Continuously updated | Started March 2026