Code & ML research
MDN Web Docs
developer.mozilla.org
Code & ML researchfree
The reference for web platform APIs — reliable ground truth for a web-dev notebook.
Maintained by browser vendors and a large contributor community, it's the reference point most developers already treat as ground truth for whether a given API works and in which browsers. That makes it well suited to a notebook that needs to verify compatibility claims rather than take a blog post's word for it. It documents what exists, not how to structure an application, so pair it with a source on architecture or design patterns for that kind of question.
Import into Gemini Notebook
- 1Copy the link above (or a specific page from the site).
- 2In your notebook, click Add source → Website.
- 3Paste the link and confirm — several links can be pasted at once, one per line.
Documentation pages import better than repositories: paste a project's docs URL or README page, not the repo root.
More code & ml research sources
- Papers with CodeML papers matched to their implementations and benchmarks — import the paper page and the README together.
- Hugging Face PapersA daily-curated feed of AI research, each paper with a discussion page that adds context.
- GitHubREADMEs, docs folders and wikis are strong sources for how a tool actually works — paste the rendered page URL.
- Stack ExchangeAccepted answers on the technical sites make good targeted sources for narrow questions.