All Articles
Getting Maximum Value from Antigravity Ultra — Credit Management to Ultra-Exclusive Features
Complete guide to maximizing Antigravity Ultra ($249.99/month). Covers the credit system mechanics, Ultra-exclusive feature implementation, quota crisis prevention, and ROI calculation for making the upgrade decision.
Mastering Gemini API Function Calling with Python in Antigravity IDE
A practical guide to implementing Gemini API Function Calling with Python in Antigravity IDE. Includes working code examples for multi-tool setups, error handling, and debugging tips.
Building a RAG Pipeline with Gemma 4 and ChromaDB: Implementation
A complete walkthrough of building a local RAG pipeline using Gemma 4 + Ollama + ChromaDB + LangChain. Includes production-ready Python code with error handling, cost comparison, and practical tips from real-world use.
Antigravity Background Agent in Production — Task Specs, git worktree Parallelism, and the Interactions API
From the sandbox VM to task specifications, AGENTS.md, git worktree parallelism, CI/CD wiring through the Interactions API, and realistic cost estimates — including the mistakes that shaped each one.
Maximizing Development Speed with Antigravity × Gemini 2.5 Flash: A Practical Guide
A practical guide to using Gemini 2.5 Flash in Antigravity IDE. Learn when to use Flash vs Pro, how to save credits, and how to build a faster iteration workflow.
Antigravity × Firebase Genkit: Building Production AI Apps—From Flow Design to Deployment
Field notes from building production AI apps with Firebase Genkit and Antigravity: type-safe flow design, RAG pipelines, streaming, schema changes on deployed flows, and deployment—all with working code.
Antigravity AI Agent Design: Multimodal Production Implementation Patterns
A complete guide to building multimodal AI agents with Google Antigravity (Gemma 4). Covers image+text integration, Function Calling, async batch processing, state management, error handling, and cost estimation — with production-ready code.
AI Agent Memory Design: 4 Patterns for Context That Persists Beyond a Single Conversation
A practical breakdown of four memory architectures for AI agents — from in-session compression to episodic storage — with implementation code and the gotchas that only show up in production.
Building Japanese NLP Apps with Gemma 4 in Antigravity — Summarization and Sentiment Analysis
Learn how to use Gemma 4's strong Japanese language capabilities in Antigravity to build Python apps for text summarization and sentiment analysis, with step-by-step code examples.
Fine-Tuning Gemma 4 in Practice: From Google Colab to Vertex AI
A practical guide to fine-tuning Gemma 4 with QLoRA on Google Colab (free GPU) and Vertex AI. Covers dataset preparation, 4-bit quantization, LoRA adapter configuration, training, and inference — with working code throughout.
Running Gemma 4 Locally with Antigravity — Model Sizing, Ollama Tuning, and Keeping It Stable
Wiring Gemma 4 into Antigravity through Ollama, from picking a model size that fits your machine to the GPU tuning that actually moves the needle — plus what to do when responses crawl or memory gives out.
Error Still Showing After Asking Antigravity to Fix It — 5 Common Causes and Solutions
When Antigravity says it fixed your error but the red squiggles remain, there are usually five culprits. This guide walks through stale caches, wrong file targets, error type mismatch, language server lag, and stale context — with practical steps to resolve each.