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.
Antigravity Multi-Agent State Tiers — A Three-Layer Design with Ephemeral, Journal, and Canonical
Before your Antigravity Background Agents and Sub-agents start mixing up their memory, split agent state into three lifetimes — ephemeral, journal, canonical — and map each to the right Cloudflare store. Includes the write-back boundary rules I rely on across a 12-year wallpaper-app portfolio.
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.
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.
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.
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.
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.
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.
Integrating Antigravity Agents into My Android Release Workflow — 3 Months of Honest Findings
After 12 years of indie development and 50 million cumulative downloads, I integrated Antigravity Agents into my Android app release workflow. Here's what worked, what didn't, and where the delegation boundary actually sits.
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.
What I Delegated to an AI Agent — And What I Should Have Kept
After 12 years of solo app development and 50M+ downloads, I learned the hard way where to draw the line with AI agent delegation. Here's the practical framework I now use before handing off any task.
Tracking AI Agent Decisions in Antigravity: Implementing Decision Logs and Explainability
Learn how to design decision logging systems that capture why your AI agents make specific choices. Includes working Python code examples, Before/After patterns, and a quality improvement cycle for production Antigravity agents.