Ask HN: Anyone using AI agents for active learning sprints? Here's my setup

Hi HN,

I'm a big fan of AI's ability to provide personalized tutoring.

So, lately, I have been using my Antigravity IDE (you can use any agentic harness) for personal learning. Things that bubble up during my daily work or just things I want to learn.

---

*Setup*

  learning/
  ├── AGENT.md
  ├── CURRENT.md
  ├── linux-admin/
  │   └── README.md
  ├── mcp/
  │   └── README.md
  ├── micro-gpt/
  │   └── README.md
  ├── postgresql/
  │   ├── PROGRESS.md
  │   └── README.md
  └── rag-v2/
      └── README.md

- AGENT.md: agent's role, my learning preferences and goals, instructions about different chores: sequence of files to explore and log things to

- CURRENT.md: current topic's directory path

- README.md: topic's learning goals, concepts I want to master

- PROGRESS.md: generated and edited by the agent on the fly

---

This is ACTIVE learning. As opposed to what Karpathy's LLM Wiki or any personal knowledge base does.

The learner undergoes 15-20 minutes learning sprints, tries things hands-on, asks to take notes, goes down the rabbit hole and agent tutor keeps the learning contextual and personal.

I have had an excellent experience with this setup so far.

Anyone doing this or anything similar?