Google Makes Gemini 3.5 Default in NotebookLM, Adds Chat‑to‑Repo Builder

Google has rolled out a major refresh for its AI‑powered note‑taking and coding platform, NotebookLM. The centerpiece of the update is the adoption of Gemini 3.5 as the default language model, promising faster, more accurate responses for developers and data scientists alike.

Beyond the model swap, the most striking new feature is a chat‑driven source repository builder. Users can now converse with the assistant—asking questions, sharing snippets, or outlining project ideas—and the system automatically translates that dialogue into a structured code base. It creates folders, files, and even basic documentation, effectively turning a brainstorming session into a ready‑to‑clone repository.

Gemini 3.5 brings enhanced context handling and deeper code comprehension compared with its predecessors. When a developer discusses a Python function, for example, NotebookLM can generate a .py file, infer required imports, and suggest style‑compliant refinements. The model also respects language‑specific best practices, making it a useful co‑pilot for both novice and seasoned programmers.

Google emphasizes that the update is tailored for individual users and collaborative teams. NotebookLM now supports real‑time sharing, version control, and granular permission settings directly within the chat interface. Teams can edit the same repository simultaneously, and all changes are logged securely. The platform also upgrades its encryption and access controls, ensuring that proprietary code stays protected.

This move aligns with Google’s broader strategy to embed generative AI deeper into the software development workflow. By simplifying the transition from idea to implementation, NotebookLM aims to boost productivity, especially in rapid prototyping, education, and remote collaboration scenarios. Early adopters report a noticeable reduction in manual file‑management overhead, allowing them to focus on solving core problems rather than organizing code.

Overall, the Gemini 3.5‑powered NotebookLM positions itself as a bridge between conversational AI and practical development tools, promising a smoother, more automated coding experience for users worldwide.

Source: TechCrunch

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