All Articles
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.
When the Default Model Changes Underneath You: Pinning and Diff-Gating Scheduled Runs
Antigravity 2.0 promoted Gemini 3.5 Flash to the default fast model. It is a welcome upgrade, but any scheduled run that leaned on the default starts producing subtly different output one morning. Here is how I pin the model explicitly, fingerprint the output, and gate drift, sized for a solo developer's pipeline.
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.
Migrating to Antigravity 2.0 Without Stopping Your Automation: Parallel-Run and Rollback Design
How to move to Antigravity 2.0 without breaking running automation: how to set up a parallel-run window, verify output parity, pin versions, and keep a one-command rollback path, based on migrating four sites one at a time.
Choosing Among Desktop, CLI, SDK, and Managed Agents for the Same Job
Antigravity 2.0 has several surfaces: desktop, CLI, SDK, and the Managed Agents API. Which one should run a given task? Here is a framework for choosing the surface from the nature of the work.
Antigravity vs Gemini Code Assist (2026): Which Google AI Coding Tool to Use?
Antigravity and Gemini Code Assist are both Google AI tools for developers, but they serve very different purposes. This guide breaks down the differences by features, cost, and use cases to help you choose — or use both together.
Antigravity vs OpenAI Codex: Which AI Coding Agent to Choose in 2026
Antigravity or OpenAI Codex? A hands-on 2026 comparison of architecture, features, pricing, and the clear cases where each wins — plus when it pays to use both.
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.
Putting a Verification Step After 'Done': Confirming What Your Antigravity Background Agents Actually Produced
An Antigravity 2.0 background agent reported 'Done,' yet the output was nowhere to be found. Running several sites on autopilot as a solo developer, I hit this gap more than once. Here is how I learned to check ground truth instead of the agent's self-report.
When Your Agent Got 4x Faster: Rebuilding the Parallel Pipeline
When the Antigravity CLI moves to a faster model, the bottleneck in your parallel agent pipeline shifts. Here is a practical way to rethink verification, task granularity, concurrency, and cost caps with speed as the new baseline.
Does the New CLI Do the Same Job? An Output-Parity Gate Before Switching to Antigravity CLI
With Gemini CLI shutting down on June 18, here is how I froze the old CLI's artifacts as a golden baseline and built a parity harness to catch regressions before cutting over to Antigravity CLI — with normalization and a go/no-go gate, in code.
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.