Learning Roadmap

# Learning Roadmap

AI Summary

Purpose:

• Tracks what the user is learning and what should be studied next.

Key points:

• Current learning focus: LLM Wiki, AI coding agents, Obsidian workflow, and personal development knowledge management.
• Roadmap items should link to sessions, questions, and wiki pages.
• Stable knowledge should be promoted to ai/wiki/concepts/.

Relevant when:

• Planning study.
• Reviewing progress.
• Creating weekly learning goals.

Do not read full document unless:

• You need learning priorities or detailed roadmap items.

Linked documents:

• ai/learning/index.md
• ai/learning/questions.md
• ai/weekly/index.md
• ai/wiki/concepts/index.md

Current Focus

• Build a private LLM Wiki and learning workspace.
• Use Obsidian as the browsing and writing interface.
• Use Codex, Claude Code, and Antigravity/Gemini against the same repo.
• Reduce token waste with summaries and indexes.
• Maintain weekly notes, worklogs, and repo notes.

Roadmap

Phase 1: Foundation

• [ ] Create private GitHub repository.
• [ ] Clone to ~/wiki/llm-wiki on each personal machine.
• [ ] Add starter files.
• [ ] Open as Obsidian vault.
• [ ] Fill in ai/workspace/machines.md and ai/workspace/repos.md.

Phase 2: Development Workflow

• [ ] Add real development repositories to ai/workspace/repos.md.
• [ ] Create repo notes under ai/repo-notes/.
• [ ] Run an AI coding agent from this central wiki.
• [ ] Confirm it can operate on a target repo and update worklog.

Phase 3: Learning Workflow

• [ ] Capture raw sources in ai/sources/.
• [ ] Promote stable concepts to ai/wiki/.
• [ ] Maintain weekly notes.
• [ ] Generate Korean human-facing weekly summaries.