All Articles
google-genai SDK with Antigravity: Python Quickstart Practical Guide
Use the google-genai SDK to call Antigravity from Python. Install, authenticate, generate text, use multimodal inputs, stream responses, and handle errors—all with code.
Google Antigravity Python SDK Production Masterguide: Multimodal, Agents, and RAG Pipelines from Design to Deployment
The complete guide to using the Google Antigravity Python SDK in production. Covers multimodal input, tool calling, RAG pipelines, streaming, cost optimization, and Cloud Run deployment with working code examples.
Implementing Function Calling with Antigravity Python SDK: A Practical Guide to Giving AI Access to External Tools
Learn how to implement Function Calling with the Google Antigravity Python SDK. Includes working code examples for connecting AI to external APIs, handling multi-tool loops, and debugging within Antigravity IDE.
Multi-Agent Design Patterns in Antigravity — Building Workflows That Don't Break
Practical patterns for designing multi-agent workflows in Antigravity. Covers orchestrator architecture, state management, error recovery, and debugging techniques for building resilient systems.
When the google-genai SDK Refuses to Work — Diagnosing and Fixing Python API Errors in Antigravity
A practical guide to diagnosing and fixing the most common google-genai SDK errors in Antigravity: authentication failures, ImportError, deprecated model names, and rate limiting — with working code examples for each.
Before Google I/O 2026 — How Antigravity Has Evolved This Year, from an Indie Dev's Perspective
Gemma 4 integration, AgentKit 2.0, Manager Surface — Antigravity has changed significantly in early 2026. Here's what actually shifted in my day-to-day indie development workflow, and what I'm watching for at Google I/O 2026.
Antigravity × Gemma 4: Build an AI System That Auto-Analyzes, Replies to, and Triages Your App Reviews
A complete implementation guide for building a review management AI system using Antigravity and Gemma 4. Automatically analyze App Store / Google Play reviews, generate replies, and create GitHub Issues — all without manual effort.
n8n × AI Agents — Self-Hosting Gotchas and Parsing the JSON That Comes Back Broken
Implementation notes from self-hosting n8n with AI agent nodes: which environment variables silently stopped working, how a missing encryption key leaves your credentials undecryptable, and a measured comparison of four ways to extract JSON from LLM responses across 13 failure shapes.
Google AI Edge Eloquent: Running Google's AI Models Natively on iOS
Google AI Edge Eloquent is Google's framework for running Gemma and other Google models locally on iOS and Apple Silicon. Here's how it works, how it differs from Core ML, and how to implement it with Antigravity.
Building Agents with Gemma 4 on Antigravity: Tool Design, Memory Management, and Production Checklist
A practical guide to building agents with Gemma 4 on the Antigravity platform. Covers tool call design, the three memory patterns, async execution, and what to verify before production deployment.
How to Break Free When Antigravity's Agent Gets Stuck in a Fix Loop
When Antigravity's agent keeps modifying the same code repeatedly, here's how to identify the root cause and escape the loop — with practical techniques that actually work.
When Antigravity's AI Fails on Large Files: Practical Solutions for Context Limit Challenges
When Antigravity's AI gives wrong suggestions or ignores parts of your files, context window limits are often the real culprit. This guide covers diagnosis, file splitting, AGENTS.md optimization, and step-by-step workflows that actually work.