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Developer tools

Build real-time voice applications with Gemini 3.8 Live and 3.5 Transcribe DevFest is back The latest AI news we announced in August 2026 Pairing Google Antigravity with Gemini 3.7 Flash solves notable multi-agent math and engineering problems. Gemini Omni 1.1 Flash lets you build with more control How developers build AI for good with Gemma 4 Inside the Gemmaverse: Celebrating one billion Gemma downloads Inside our 353,000-person vibe coding course Introducing Gemini Robotics ER 2 Gemini API Managed Agents: 3.6 Flash, hooks, and more We're rolling out AlphaEvolve widely to solve Google Cloud customers' hardest problems. Expanding Managed Agents in Gemini API: background tasks, remote MCP and more The latest AI news we announced in June 2026 Ask an AI expert: What exactly is the full stack? Interactions API: our primary interface for Gemini models and agents DiffusionGemma: 4x faster text generation See what 3 builders are making with Gemma 4 Bringing the latest Gemini models to Apple developers Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency Kaggle is making AI benchmark creation effortless Introducing Gemma 4 12B: a unified, encoder-free multimodal model How we used Gemini to build Google I/O 2026 Take our I/O 2026 quiz, vibe coded in Google AI Studio. Here's what developers can do with the latest Google Play updates. Building the agentic future: Developer highlights from I/O 2026 I/O 2026 Introducing Managed Agents in the Gemini API Bring any idea to life: Google AI Studio at I/O 2026 Gemini API File Search is now multimodal: build efficient, verifiable RAG Accelerating Gemma 4: faster inference with multi-token prediction drafters
Improve coding agents’ performance with Gemini API Docs M...
Trey Nguyen · 2026-04-01 · via Developer tools

Agents can generate outdated Gemini API code because their training data has a cutoff date. We built two complementary tools to fix this.

The Gemini API Docs MCP (https://gemini-api-docs-mcp.dev) connects your coding agent to the current Gemini API documentation, SDKs and model information via the Model Context Protocol. This ensures that your coding agent has access to the most up-to-date APIs and code and builds with the most optimal configuration settings.

The Gemini API Developer Skills adds best-practice instructions, resources-links and patterns to guide the agent toward current SDK patterns.

While each tool independently improves your workflow, using them together unlocks their full potential. Our evals show that combining MCP and Skills leads to a 96.3% pass rate on our eval set, with 63% fewer tokens per correct answer compared to vanilla prompting. Set up both at ai.google.dev/gemini-api/docs/coding-agents.