AI & Engineering
AI Learning
A unified entry for AI learning and engineering practice — from agent building, skill authoring, and coding tools to industry news and programming fundamentals, organized by topic.
Topics
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AI Agent
Notes on building AI agents and multi-agent systems, covering MCP, tool calling, memory, RAG, and context engineering on the path from LLM apps to agent products.
AI Skills
Notes on Claude skill authoring and reusable AI workflows, covering material curation, slide generation, and NotebookLM source prep.
AI Tools
Usage tips for AI coding tools like Claude Code and Codex, covering provider switching, quota monitoring, and local setup to turn scattered tools into reusable workflows.
AI News
AI industry news, model breakdowns, and translated source material, covering model services, account setups, and API relays from hands-on practice.
Programming
Programming and development notes spanning the command line, GitHub, Python, CS fundamentals, and agentic flow, broken into actionable paths and practical problems.