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All (951) Antigravity Basics (143) Editor View (62) Agents & Manager (248) Integrations (125) App Development (216) AI Tools (63) Tips & Best Practices (94)
Antigravity Basics/2026-04-20Advanced

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.

Antigravity Basics/2026-04-19Intermediate

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.

Antigravity Basics/2026-04-18Beginner

An Honest Year with Antigravity — A Review from a Developer Who's Also an Artist

What a year of daily Antigravity use actually looks like from someone who does both app development and art — the genuine strengths, the real frustrations, and why I keep using it.

Antigravity Basics/2026-04-18Intermediate

Three Months of Shipping Apps with Antigravity — An Indie Developer's Honest Report

A candid three-month record of using Antigravity to ship features continuously as a solo developer. What worked, what didn't, and the specific techniques that made the difference.

Antigravity Basics/2026-04-18Advanced

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.

Antigravity Basics/2026-04-17Beginner

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.

Antigravity Basics/2026-04-17Intermediate

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 Basics/2026-04-16Intermediate

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.

Antigravity Basics/2026-04-16Beginner

Running Gemma 4 in Antigravity — Ollama Setup and a Realistic Local/Cloud Split

How to run Gemma 4 locally in Antigravity IDE with Ollama: installation, a three-step connection check that actually isolates failures, keep_alive tuning to kill reload waits, and a realistic split between Gemma 4 and Gemini 2.5 Pro.

Antigravity Basics/2026-04-14Intermediate

Gemma 4 on Antigravity: Complete Debugging Guide for Errors and Performance Issues

Gemma 4 not loading, running too slowly, or producing poor output on Antigravity? This complete guide covers VRAM requirements, quantization settings, multimodal failures, and inference speed optimization — everything specific to Gemma 4's architecture.

Antigravity Basics/2026-04-14Beginner

Antigravity Local LLM Not Connecting: Complete Troubleshooting Guide

Can't get Antigravity to connect to your local LLM? This guide covers all four failure patterns — Ollama not running, LM Studio server not started, VRAM issues, and macOS firewall blocking — with diagnostic commands and step-by-step fixes.

Antigravity Basics/2026-04-12Intermediate

Antigravity Context Window Management — Keeping AI Assistance Accurate in Large Codebases

Practical techniques for maintaining Antigravity's AI accuracy in 100K+ line projects. From eliminating context noise to strategic file referencing, these are battle-tested methods from real-world development.