Dev Tools
Hands-on articles for building with Gemini developer tools — Gemini CLI, Code Assist, Google AI Studio, editor integrations, and test automation.
Gemini CLI vs Claude Code: A Hands-On AI Coding Agent Comparison for 2026
A comprehensive 2026 comparison of Gemini CLI and Claude Code covering speed, code quality, cost, context window, and real-world performance to help you choose the right AI coding agent.
Running the Gemini API in Google Colab: Your First Working Notebook
Step-by-step guide to using the Gemini API in Google Colab. From API key setup to text generation, image analysis, and streaming — all with copy-paste Python code that works out of the box.
Gemini × LangChain Integration — Build RAG, Chains & Agents
Complete guide to using Gemini with LangChain. Covers ChatGoogleGenerativeAI setup, prompt chains, RAG pipelines (ChromaDB + Gemini embeddings), and ReAct agent construction.
Vertex AI Agent Builder Getting Started — Build Gemini Agents with No Code
Build Gemini-powered AI agents with Vertex AI Agent Builder. Covers datastore integration, tool definitions, testing, and Cloud Run deployment.
Gemini in Google Workspace 2026: New Features in Docs, Sheets, Slides & Drive
A deep dive into Google's March 2026 Gemini Workspace update — covering Help me create, Ask Gemini in Drive, Match writing style, and AI-powered Sheets. Includes code samples for developers.
Vertex AI Gemini Production Guide— Enterprise-Scale Deployment Implementation
Deploy Gemini at enterprise scale on Vertex AI. Covers service account auth, provisioned throughput, prompt filtering, Cloud Run integration, monitoring, and cost management for production workloads.
Wiring Gemini CLI into Your Shell and CI — Headless Runs and Session Resume
Move past interactive use of Gemini CLI: headless runs, JSON output, session resume, approval modes, and MCP. Includes the five ways headless runs break and a measured pro/flash comparison.
Gemini External Tool Integration — Grounding and Function Calling in Practice
How to connect Gemini to external services and your own data, covering both the in-app integrations and the API tools parameter: Google Search grounding, the full Function Calling round-trip, and the latency and cost trade-offs to plan for.