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Fine-Tuning Gemma 4 on a Mac — A Colab-Free Training Setup with Apple Silicon + MLX
A practical walkthrough of fine-tuning Gemma 4 locally on Apple Silicon using MLX — no Google Colab required. Tested on M3 Max with 96GB unified memory, with memory sizing guidance, learning-rate tuning, overnight-run setup, adapter fusing for Ollama, and fixes for the errors you are most likely to hit.
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.
Gemma 4 Production Fine-tuning Complete Guide — Dataset Design, QLoRA Optimization, Evaluation Pipeline & Cloudflare Workers Deployment
A complete guide to fine-tuning Gemma 4 with QLoRA for production use. Covers dataset design, evaluation pipelines, and deploying to Cloudflare Workers AI — all within Antigravity, with fully working code examples.
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 Agent Integration— Building Local Workflow Automation with Claude and Gemini
A comprehensive guide to integrating n8n with AI agents to build secure, locally-hosted business automation pipelines. Covers self-hosted setup, Claude/Gemini/OpenAI node integration, and three real-world workflow patterns: email classification, weekly reports, and SNS scheduling.
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.