Google AI Tools for Developers (2026): AI Studio, Colab, NotebookLM, Gemini CLI, Jules, Code Assist скачать в хорошем качестве

Google AI Tools for Developers (2026): AI Studio, Colab, NotebookLM, Gemini CLI, Jules, Code Assist

In this lecture-style walkthrough, I cover the main Google AI tools developers can use today, many of which are available free through a university Google account. You’ll see what each tool is best for—and how to choose the right one depending on whether you’re prototyping prompts, running notebooks, doing research synthesis, coding in an IDE, or delegating async engineering tasks. Tools covered (and what they’re for) • Google AI Studio (Gemini web playground): prompt prototyping + API key workflows • Colab: notebook environment with Gemini assistance and Drive integration • NotebookLM: research assistant for PDFs/Docs/Slides/Sheets/web/YouTube with structured outputs • Antigravity: agentic IDE for autonomous coding (editor + agent manager modes) • Gemini CLI: terminal-based assistant for scripting and automation • Jules: async coding agent that works with GitHub repos and returns pull requests • Gemini Code Assist: IDE extension (VS Code / JetBrains / Android Studio) Quick links • AI Studio: https://aistudio.google.com • Colab: https://colab.research.google.com • NotebookLM: https://notebooklm.google.com • Antigravity: https://antigravity.google/download • Gemini CLI install: npm install -g @google/gemini-cli • Jules: https://jules.google Demo (Antigravity) Airbnb Stock Price Analyzer (Streamlit) Dataset: https://huggingface.co/datasets/nater... Prompt idea: Build a Streamlit app that loads a CSV and includes a closing-price line chart, summary stats, a date-range filter, and a data table. How to choose the right tool • Prompt experiments → AI Studio • Data analysis notebooks → Colab • Literature review / synthesis → NotebookLM • Build features with agents → Antigravity • Terminal workflows → Gemini CLI • Batch refactors/tests/docs → Jules • Everyday IDE coding → Gemini Code Assist