𝗥𝗮𝗯𝗯𝗶𝘁 𝗛𝗼𝗹𝗲𝘀 𝗪𝗵𝗶𝗹𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔𝗜

𝗥𝗮𝗯𝗯𝗶𝘁 𝗛𝗼𝗹𝗲𝘀 𝗪𝗵𝗶𝗹𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔𝗜

I planned to stop at LangGraph.

The plan failed.

Chasing Agentic AI led me into new technical areas. I learned several software engineering skills along the way.

Docker

• Multi-stage Dockerfiles
• Docker Compose
• Managing volumes
• Building custom images
• Fixing local environment issues

GitHub Actions

• Automated builds and tests
• CI/CD pipelines
• Branch protection rules
• Secrets management
• Automatic image publishing

Git and Engineering Practices

• Using conventional commits
• Using pull requests for solo work
• Trunk Based Development
• Small and rapid merges
• Keeping the main branch deployable

Deployment

• Shipping projects beyond localhost

I started with AI. I ended with a deep respect for software engineering.

I still need to learn LlamaIndex. My roadmap keeps changing.

What unexpected skills did you learn while studying AI?

Source: https://dev.to/casperday11/rabbitholes-while-learning-ai-4o69

Optional learning community: https://t.me/GyaanSetuAi