Combining All Four Antigravity Surfaces in One Project — Up to Running Your Own SDK Agent
How to split a single project across Antigravity 2.0, CLI, IDE, and SDK, and how to bridge between them — from diverging on design to converging on production, all the way to running a small custom agent with the Python SDK, with implementation included.
Antigravity 2.0, CLI, IDE, SDK — Weaving All Four Surfaces Through a Real Project
Antigravity ships as a desktop app, a CLI, an IDE, and a Python SDK. Beyond picking one, this guide shows how to weave all four across a single project — with a headless-execution wrapper for automation, plus the cost and migration traps to sidestep.
Designing Safe Background Tasks with the Managed Agents API
Antigravity 2.0's Managed Agents API launches an agent in an isolated Linux environment with a single API call, handling reasoning, tool use, and code execution. Convenient, but left unattended it invites runaways and cost overruns. Here is a design for running it safely as a background task.
When CLI, Desktop, and SDK Share One Agent Harness: Designing for Consistent Behavior
Now that Antigravity's CLI, desktop, and SDK share one agent harness, here is how to separate what stays consistent from what differs by environment, and how to align behavior with smoke tests and a version-tracking habit.
Collecting Guardrails Across Projects Into One Place — A Thin Wrapper Around the Antigravity SDK
When you copy the same safeguards into every project, you eventually fix one and leave the other stale. Here is a design that builds a single thin wrapper around the Antigravity SDK to centralize cost caps, allowed tools, and output validation — from someone running several apps in parallel.
Matching Antigravity 2.0's Three Layers to Development Phases: Explore, Iterate, Operate
How I assign Antigravity 2.0's desktop, CLI, and SDK to development phases instead of features, with concrete handoff patterns between layers and the production pitfalls I hit.
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.
Fixing Antigravity Unity and Flutter Integration Errors — From SDK Setup to Build Issues
Master Antigravity SDK integration in Unity and Flutter. Complete troubleshooting for setup, authentication, builds, and platform-specific issues.