All Articles
Memory Budget Design for Embedding Gemma 4 in Mobile Apps
When embedding Gemma 4 into a mobile app, peak memory during inference — not the model file size — becomes the real bottleneck. A memory budget design based on measured values, plus a device-tier switching strategy.
Running Multiple Gemma 4 LoRAs in Production — A Practical Guide to Merging and Dynamic Adapter Switching
You've trained three LoRAs on Gemma 4 — one for summarization, one for translation, one for code review. Now the real question: how do you serve them in production without tripling your GPU bill? This is my working notebook on merging and dynamic switching, written with Antigravity alongside.
Prompts Are Assets: Building a Production-Grade Prompt Management Platform with Antigravity — Versioning, A/B Testing, and Quality Evaluation
A hands-on implementation guide for treating prompts as first-class code — with versioning, A/B testing, and automated quality evaluation. Design patterns and working code for running AI agents on Antigravity with safe, continuous prompt improvement.
Tuning Gemma 4 for Yourself — A Realistic LoRA / QLoRA Workflow on a Solo Developer's Budget
Full fine-tuning of Gemma 4 is out of reach for most individuals, but LoRA / QLoRA makes personalization realistic on a solo budget. This guide walks through data prep, training settings, evaluation, and wiring the result into an Antigravity workflow — from hard-earned practical experience.
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.
Running Gemma 4 Locally with Antigravity: The Complete Production Setup Guide
A step-by-step guide to integrating Gemma 4 with Antigravity via Ollama. Covers model size selection, GPU tuning, Python API usage, config setup, and troubleshooting slow responses and memory crashes.
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.
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.
Running Gemma 4 Locally: A Developer's Guide to On-Device AI Integration
Master running Google's latest open-source LLM Gemma 4 in your local development environment. Learn practical setups with Ollama and llama.cpp, plus multimodal and agent capabilities.
Gemma 4 Implicit Caching in Antigravity: Cut Your Credit Costs by 40% Without Changing a Line of Code
A practical guide to leveraging Gemma 4's Implicit Caching in Antigravity. Learn how to structure your projects to dramatically reduce credit consumption when working with large codebases.
Claude Mythos Preview: The AI Breakthrough Reshaping Cybersecurity
An in-depth look at Anthropic's Claude Mythos Preview. Covers zero-day vulnerability discovery, reverse engineering capabilities, and Project Glasswing.
Gemma 4 Edge AI Agents: The Complete Implementation Guide for On-Device Intelligence
A deep dive into building edge AI agents with Gemma 4. Covers Function Calling, multimodal pipelines, offline agents, and Antigravity integration patterns.