Concurrent Google AI API Calls with Python asyncio in Antigravity — A Practical Guide
Learn how to use Python asyncio with the google-genai SDK inside Antigravity IDE to process multiple AI API requests concurrently. Includes Semaphore-based rate limiting and a real-world batch review analysis pipeline.
Three Practical Workflows for Pairing Antigravity with Jupyter
Three concrete workflows for combining Antigravity's agent-driven development with Jupyter's exploratory feel. Covers cell-level editing, passing execution results to the agent, and writing an AGENTS.md tuned for data analysis.
Google Cloud Vision API + Antigravity: A Practical Guide to Image Analysis in Python
Integrate Google Cloud Vision API with Antigravity IDE using Python. Covers service account setup, .rules configuration, building a FastAPI endpoint, and how to handle the errors that trip up most developers.
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 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.
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.
Gemini API Python Error Code Guide — Fixing RESOURCE_EXHAUSTED, SAFETY, INVALID_ARGUMENT in Antigravity Development
A practical guide to fixing common Gemini API Python SDK errors — RESOURCE_EXHAUSTED, SAFETY, INVALID_ARGUMENT, and DEADLINE_EXCEEDED — with real code examples for developers building with Antigravity.
Antigravity × Python Structured Output Mastery: Building Type-Safe AI Data Pipelines with Pydantic and Google Gen AI SDK
A complete guide to designing and implementing type-safe AI data extraction pipelines using Google Gen AI SDK Structured Output and Pydantic in Antigravity. Covers schema design, error recovery, async processing, and cost optimization.
Build an Internal AI Chat Tool in 30 Minutes with Antigravity + Streamlit
Learn how to combine Antigravity (Gemini API) with Streamlit to build a custom internal AI chat tool quickly. Covers chat history, streaming responses, system prompt customization, and deployment—all with working Python code.