Reading path

AI & Data Tools

A curated reading path for developers exploring notebooks, local LLMs, and interactive data projects in the browser.

For developers who want to think in notebooks, run local LLMs, and build interactive data experiences — beyond copy-paste ChatGPT workflows.

Jupyter workflow

Follow the Jupyter, ChatGPT, Copilot series in order:

  1. Jupyter, ChatGPT, Copilot (Part 1): Strategic Value — Why notebooks exist for software engineers: discovery vs. execution, and when to reach for Jupyter instead of VS Code.
  2. Jupyter, ChatGPT, Copilot (Part 2): Technical Setup — Environment setup for productive notebook workflows.
  3. Jupyter, ChatGPT, Copilot (Part 3): Real-World Examples — Concrete notebook patterns for daily work.
  4. Building a Personal Knowledge Engine with Jupyter and Local LLMs — Local LLM integration for a private knowledge base.

IDE & local AI workflow

For day-to-day coding in the editor — splitting work across cloud assistants, local models, and Cursor without burning premium quota. Follow the Split AI Workflow series in order (use in-post series navigation between parts):

  1. How to Stretch Cursor Pro Further: A Split AI Workflow — ChatGPT for planning, Claude for review, Ollama for cheap tasks, Cursor for multi-file execution; quota mechanics and 2026 local model picks.
  2. Local AI on Manjaro: Ollama, Aider, and Cline — Install Ollama with CUDA, pull coding models, and wire Aider and Cline for repo-wide local work without another subscription.

Pair with the Jupyter series above for the thinking side (notebooks, research) and item 4 for notebook-local LLM integration. Items 5–6 cover the IDE execution side — cloud split first, then hands-on local setup.

Interactive projects

Follow the Bio-Dynamics Lab series in order:

  1. Building Bio-Dynamics: Overview — Why I built a browser-only 3D microbiome lab.
  2. Deterministic Microbiome Simulation — Simulation design without overclaiming science.
  3. Macro/Micro 3D: One Scene Graph — Scene graph architecture for tissue builders.
  4. Catalog-Driven Dashboard — Strains, stressors, and action impact in the UI.
  5. i18n, a11y, and Shareable Lab State — Accessibility and shareable state in the browser lab.

Teaching companion

  1. Teaching with Bio-Dynamics: 15-Minute Lab Sessions — Classroom paths for running short workshops with the live lab (Health section).

Health context

Background reading on probiotics and the science the lab illustrates — browse the Health hub or start with:

  • Angular Platform — Companion code patterns and MCP workflows for production Angular teams.
  • Systems & Linux — Cursor install on Manjaro and desktop Linux context for local AI setup.