RabbitHoles while learning AI

Source: Dev.to

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 Apparently the roadmap had other plans. Curious what unexpected rabbit holes everyone else fell into while learning AI.