All Articles
Running Antigravity in a DevContainer: A Setup Your Whole Team Can Share
Wrapping Antigravity in a DevContainer eliminates the 'works on my machine' problem. This guide walks through a minimal Dockerfile / devcontainer.json, GPU passthrough for agent workloads, and safe handling of credentials.
Shipping an Antigravity Agent as a Paid API — Gateway Design, Usage Billing, and Enterprise Pricing from Scratch
A complete implementation guide for turning Antigravity agents into a billable API service. Covers API gateway, API key management, token tracking, Stripe Metered Billing, rate limiting, and enterprise SLA design — with production-ready code throughout.
What an Artist Noticed After a Year with Antigravity — A Different Kind of User
A perspective on AI-assisted development from someone who thinks in visuals first and code second. What actually works for artists and creative developers using Antigravity — and what honestly doesn't.
Antigravity × Obsidian — Growing Code and Knowledge in the Same Place
A practical workflow for connecting the code you write in Antigravity to a growing Obsidian knowledge base. Record architecture decisions, accumulate bug patterns, and bring that context into every new AI session.
Making Sense of Play Console Data with Antigravity — A Practical Guide for Indie Developers
Stop just staring at Play Console dashboards. Learn how to feed your review data, crash reports, and revenue metrics into Antigravity to get concrete improvement actions — a practical guide for solo Android developers.
Gemma 4 × Antigravity — Complete Guide to On-Device AI for iOS and Android
A hands-on implementation guide for integrating Gemma 4 into both iOS (Core ML) and Android (TensorFlow Lite / AI Core) with Antigravity. Covers model conversion, quantization, battery management, and app store approval.
Force Gemma 4 to Stay Inside Your Schema: A Production Guide to Constrained Decoding in Antigravity with GBNF, Outlines, and vLLM
A production-grade guide to running Gemma 4 locally in Antigravity while guaranteeing schema-compliant output. Covers llama.cpp GBNF grammars, Outlines with Pydantic, and vLLM guided_json — with concrete Python code and failure-mode fallbacks.
When Antigravity Ignores Your Pasted Screenshots: A Six-Point Diagnostic Guide
Pasted a screenshot into Antigravity and got a text-only reply that ignored the image? Walk through six concrete checks — multimodal model selection, format pitfalls, paste-path differences, and OS-specific quirks — plus a fast sanity-check prompt to confirm whether the AI actually sees your image.
Implementing Antigravity's A2A Protocol — Practical Patterns for Agent-to-Agent Conversation
A hands-on guide to Antigravity's A2A (Agent-to-Agent) protocol. Walks through the minimal two-agent setup and three real-world patterns — fire-and-forget, bidirectional confirmation, and scatter-gather — with runnable samples.
SRE for Antigravity Agents — Taming Probabilistic Systems with SLOs and Error Budgets
AI agents are probabilistic by nature, so running them in production without SRE thinking is risky. This guide shows how to apply SLIs, SLOs, and error budgets to Antigravity agents with working code and concrete operational decisions.
Antigravity × Ollama — The Complete Guide to Running Local LLMs (Gemma 4 Edition)
A hands-on guide to wiring Ollama into Antigravity so you can run Gemma 4 locally. Covers cross-OS setup, endpoint configuration, model sizing decisions, and a real-world fallback strategy for offline development, sensitive data, and cost control.
A Daily Workflow for Using LM Studio with Antigravity — Model Selection, Wiring, and Everyday Practice
A practical guide to making LM Studio your everyday model provider inside Antigravity — how to pick a model, wire up the OpenAI-compatible server, and survive the small surprises that come with daily use.