All Articles
Implementation Notes: Running AdMob Mediation A/B Tests with Antigravity Parallel Agents
Notes from automating AdMob mediation A/B testing using Antigravity parallel agents across an indie wallpaper-app portfolio with 50M cumulative downloads. Covers joint eCPM + ARPU optimization, the 7-day rotation pipeline, and the rollout design that does not break production.
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.
Designing Antigravity Agents That Survive Multi-Hour Batches — A 4-Layer Durability Pattern From the Trenches
Long-running Antigravity batch agents will fail somewhere. After running them against the operations of an indie app business, I distilled four durability layers — checkpoint granularity, persistence choice, idempotent restore, and context summarization — into a single, opinionated design memo with working code and real cost numbers.
Handing Nightly Wallpaper Asset Updates to a Background Agent — Time Budgets, Duplicate Detection, and a Completion Gate
A reproducible account of handing nightly wallpaper asset updates to Antigravity's Background Agent. Covers how to write the task definition, perceptual-hash duplicate detection, one-pass resizing across 12 device profiles, a morning report you can review in five minutes, and the time-budget and completion-gate design that makes unattended runs safe.
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.
Designing Knowledge Freshness for Antigravity AI Agents — A Runtime Architecture for Model Cutoffs, Corpus Staleness, and Real-World Time Drift
Antigravity agents have to juggle three independent time axes — model cutoff, RAG corpus update, real-world clock — or they will confidently cite six-month-old documentation. Here is the runtime architecture I use, with working TypeScript code and the TTL thresholds I run in production.
Letting Antigravity Background Agent Watch the First 72 Hours After Release: A Monitoring Pipeline Forged Across Six Wallpaper Apps
Drawing on twelve years of indie iOS and Android development and six wallpaper apps released in parallel, this article shares a release-monitoring workflow built on Antigravity Background Agent. It covers how to collapse Firebase Analytics, Crashlytics, and AdMob into one Markdown report, with the actual queries and thresholds used in production.
Prompt Caching and Context Strategy for Antigravity Agents — Cutting 60-80% Off Monthly API Costs in Long-Running Production
The longer you keep agents running, the more the monthly invoice quietly piles up. Running Antigravity agents alongside an AdMob-monetized indie app business (50M cumulative downloads), I managed to cut API costs by 60-80% by rebuilding prompt caching and context strategy. This article shares the three-layer cache, context compression, and TTL design I now run in production — with the code and numbers behind them.
Designing an HITL Approval Pipeline That Survives Production — Routing Probabilistic Actions Safely With Antigravity Agent
How I run a Human-in-the-Loop approval pipeline for Antigravity Agent in production — risk tiers, confidence-based routing, queue schema, audit logs, and the graduation criteria that move actions toward automation, drawn from six months of indie-app operations.
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.
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.