# RabbitHoles while learning AI

> Source: <https://dev.to/casperday11/rabbitholes-while-learning-ai-4o69>
> Published: 2026-06-14 07:46:42+00:00

I was supposed to stop at LangGraph.

That was the plan.

Instead, the rabbit hole decided otherwise.

Some of the things I unexpectedly picked up while chasing Agentic AI:

⚙️ Docker

- Multi-stage Dockerfiles
- Docker Compose
- Volumes
- Building images from my own projects instead of just pulling them
- Finally understanding why "works on my machine" isn't enough

🤖 GitHub Actions

- Automated builds and tests
- CI/CD pipelines
- Branch protection rules
- Secrets management
- Automatic Docker image publishing
- Realizing how satisfying it is when pushing code triggers everything for you

🌿 Git & Engineering Practices

- Conventional commits
- Pull requests even for solo projects
- Trunk Based Development
- Small, rapid merges instead of week-long branches
- Keeping main always deployable

🚀 Deployment

- Actually shipping things instead of leaving them in localhost prison

And somehow, while trying to learn AI, I ended up appreciating software engineering just as much.

Still left:

• LlamaIndex

• Cloud

• Terraform

Apparently the roadmap had other plans.

Curious what unexpected rabbit holes everyone else fell into while learning AI.