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◈ Agents/2026-05-29Advanced

Designing a Negative Spec for Antigravity Agents — The Forbidden-Territory List I Use Across 50M-Download Apps

Hand your Antigravity agents a list of things they must never touch — not just what they should do. Here is the FORBIDDEN.md template, subagent bootstrap, and reinjection script I run across 6 indie apps and 50M downloads.

◈ Agents/2026-05-29Advanced

Supervising Long-Running Antigravity Agents — Watchdog and Tiered Recovery

Eight weeks of running AdMob revenue optimization on Antigravity background agents revealed three quiet failure modes. Here is the watchdog plus tiered recovery design I landed on.

◈ Agents/2026-05-27Advanced

Orchestrating Six iOS App Updates in Parallel with Antigravity's Main and Sub Agents

Running six iOS app updates in parallel — new resolutions, Firebase SPM migration, StoreKit 2, and ATT ordering — with Antigravity's Main + 6 Sub agents. The notes on what to parallelize and what to keep serial.

◈ Agents/2026-05-26Intermediate

Why Antigravity's Browser Sub-Agent Reads SPAs as Empty Pages — and Three Wait Strategies That Stuck for Me

When you hand an SPA dashboard to Antigravity's Browser Sub-Agent, get_page_text often returns before the real content is rendered, and the agent reports an empty page. Here is how I diagnose the symptom and the three wait strategies that have stabilized my routine.

◈ Agents/2026-05-25Advanced

Cost Attribution for Antigravity Agents — A Showback Architecture That Maps Execution Cost Back to Tenants Across Multi-Product Operations

A multi-tenant Showback architecture for Antigravity agents running across multiple products, with the schema, propagation patterns, and seven months of production numbers from running 4 sites and 6 apps in parallel.

⬡ Integrations/2026-05-23Advanced

Antigravity × UMP/ATT Consent Rate Optimization Agent — A Weekly Autonomous Loop That Lifts AdMob Revenue Region by Region

ATT and Google UMP consent rates are hidden levers that move AdMob eCPM by 1.3–2.0x. This is a working memo on letting Antigravity sub-agents run weekly experiments on regional consent UX across six apps, and how that lifted ARPDAU.

◈ Agents/2026-05-22Advanced

Designing a 4-Tier Fallback Architecture for Antigravity Agents — Catching Model Degradation, API Outages, and Cost Overruns Across Layers

How to design a 4-tier fallback hierarchy for production AI agents on Antigravity, drawn from 24 months of running 11 agents across 6 indie apps. Includes the decision logic, code, and real demotion statistics.

⬡ Integrations/2026-05-19Advanced

Running AdMob and AppLovin MAX side by side with an Antigravity sub-agent that compares them daily

For the past two months I have been running my wallpaper apps on both AdMob and AppLovin MAX in parallel, and letting Antigravity sub-agents pull eCPM, fill rate and ARPDAU into a single daily comparison. This is an implementation memo from those 90 days, focused on cross-network normalisation and the thresholds I trust an agent with.

◈ Agents/2026-05-18Advanced

Splitting Daily Crashlytics Triage Across Five Antigravity Sub-Agents

Running six indie iOS and Android apps, the morning Crashlytics triage was draining me. I split the workflow across five Antigravity sub-agents (Fetcher, Classifier, Repro, Patch, PR) and locked their input and output to JSON schemas. Two weeks of production data shows where the human review boundary belongs.

◉ Antigravity/2026-05-18Intermediate

When Antigravity Ignores Your AGENTS.md — How to Diagnose and Fix It

You dropped an AGENTS.md at the repo root with clear rules, but the agent still pulls in banned libraries and blows past your conventions. Here is how I diagnose and fix the three most common causes I have seen across more than a hundred Antigravity sessions.

◈ Agents/2026-05-17Intermediate

Integrating Antigravity Agents into My Android Release Workflow — 3 Months of Honest Findings

Three months of running Antigravity Agents inside my Android release flow: where crash diagnosis landed, where it missed, how I turned staged-rollout Go/No-Go into a threshold dialog, and the context checklist that decides diagnostic accuracy.

◈ Agents/2026-05-13Advanced

Telling AI Agents 'Why' — 5 Context Design Principles to Prevent Misjudgment

When AI agents write correct code for the wrong job, the root cause is usually that you told them What but not Why. This guide covers 5 intent-context design principles for Antigravity agents, with practical patterns for AGENTS.md, task instructions, and error diagnostics.