All Articles
Distribution-Path-Agnostic Antigravity CLI Automation: Betting on Both the Consumer and Google Cloud Editions
The 7/1 announcement began offering the Antigravity CLI via the Gemini Enterprise Agent Platform too. Here is a design that abstracts your personal automation to run on either the consumer or Cloud edition, laid out with a wrapper and capability-detection scripts.
Don't Build Your Own Peak: Time-Spreading Background Agent Schedules
Antigravity 2.0's desktop auto-schedules tasks in the background. Convenient, but cluster them at round hours and you build your own peak, and the late-night jobs fail together. Here is a design that spreads times and bans overlap, with real results.
It Worked Interactively but Went Silent Overnight — Making an Antigravity Agent Behave the Same in the Desktop and the CLI
An agent that runs perfectly in the Antigravity desktop app but does nothing when you schedule it through the CLI. This walks through absorbing the gap between interactive and unattended runs across four points — approvals, context, secrets, and runtime — with working code and a preflight check, so one definition behaves identically on both.
Detecting and Fixing Drift Between a Guide Skill and Your Code
Pin a procedure into a built-in Guide skill and it gets left behind when the code later changes. Here is an operational design that machine-checks the things a Guide references, catches drift early, and keeps the Guide thin.
Systematize Pre-Release Checks for Sound-Playing Apps with Waveform Rendering and Agents
The 6/26 update let Antigravity render audio files. Drawing on years of shipping sound in healing apps, here is a design that folds loudness, clipping, length, and silence checks into an agent verification loop, with the actual scripts.
When Your MCP Servers Vanish From the Chat App in Antigravity 2.0
After Antigravity 2.0 split into an IDE and a separate chat-style agent app, an MCP server I had set up in the IDE stopped showing up on the chat side. Here is why the settings scopes are separate, and how to fix it by making a single workspace-level source of truth that both apps read.
Measure Before You Trim: A Context Ledger for Antigravity CLI Token and Latency Costs
Prompted by the ~70% token reduction reported for the Android CLI agent, I built a thin wrapper and a weekly review to measure my own agent runs. Here is how I replaced whole-file context with line ranges and cut wait times.
Don't Let Your Automation Lean on AI Ultra's 5x Ceiling
The $100/month AI Ultra plan raises Antigravity's usage limits to 5x AI Pro. But if you architect automation around that ceiling, it collapses the moment you drop back a tier. Here is a limit-independent degradation design, with the real pain points.
Faster Substring Search Changes How You Should Let Agents Explore Code
The 6/26 update made substring search noticeably faster. Rather than treating it as a comfort improvement, here is how to redesign the way agents explore code, budget context, and verify their targets, with measurements from indie development.
Keeping Naming and Formatting Stable When Your Model Falls Back
When a model falls back mid-run, an agent's naming conventions and formatting drift quietly. Here is how I enforce a model-independent style contract plus a drift probe to keep output consistent.
When the Android CLI Got 3x Faster and Cut Tokens by ~70%, the Right Move Was More Verification Per Change — Not More Parallelism
Reading that the Android CLI agent runs ~3x faster while using ~70% fewer tokens, my first instinct was to ask how many runs to parallelize. But a faster agent doesn't change how much work ships — it changes where the queue forms. This walks through why, sizes the new bottleneck (review and verification gates) with Little's Law, enforces a WIP cap with a working Python admission controller, and reinvests the freed budget into depth per change — with measured results.
The Built-in Guide Skill Is Only Advice — Pair It With a Gate That Mechanically Rejects Antigravity's Output
The v2.2.1 built-in Guide skill raises how often the agent complies, but it is still probabilistic advice. Here is the design for a deterministic gate that reliably stops the violations that slip through, with working code and measured results.