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◈ Agents/2026-05-27Advanced

Record & Replay for Antigravity Agents

How to deterministically replay a failed Antigravity Agent run offline, drawn from a month of running it across four production sites. Covers boundary recording, R2 + KV storage costs, PII masking, and a working TypeScript harness.

◈ Agents/2026-05-26Advanced

Splitting Pre-release QA Across Four Antigravity Subagents — A Design Note from a Solo Mobile Developer

A design note from a solo indie developer running six iOS / Android apps in parallel, sharing how Antigravity subagents are split into four parallel paths for pre-release QA. Covers the boundary decisions, prompt templates, termination rules, and merge logic with concrete examples.

◈ Agents/2026-05-26Advanced

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 a TypeScript approval gate for write-back, and what changed when headless runs stopped silently auto-approving.

▣ App Dev/2026-05-25Intermediate

One Month Splitting Antigravity's Inline Edit and Agent Mode Across Four Wallpaper Apps

A month of notes from running Antigravity's Inline Edit and Agent Mode across four production wallpaper apps — with real counts, the decision rule I wrote into AGENTS.md, a one-pass dSYM fix, and how credit cost factors in.

▣ App Dev/2026-05-24Advanced

Running iOS Push Notification A/B Tests Weekly With Antigravity Agent — A Self-Improving Loop For Copy, Timing, And Segments

Drawing on years of indie iOS development across wallpaper and wellness apps, this article walks through a weekly Push Notification A/B loop powered by Antigravity Agent — the FCM bridge, BigQuery measurement, segment design, a D7 retention recovery story, and a dependency-free simulation that made me cut the number of arms and add a significance rule before declaring any winner.

⬡ Integrations/2026-05-24Advanced

Catching "Running but Doing Nothing" Antigravity Subagents — A 3-Layer Observability Pattern Across Six Production Apps

Running Antigravity subagents across six production apps surfaced more than ten silent failures every month — exits clean, logs green, but nothing actually happened. Here is the Heartbeat / Output Trace / Decision Log pattern I now use to catch them inside 60 seconds, with code, GCP costs, and four months of running numbers.

⬡ Integrations/2026-05-23Advanced

Apple Search Ads × Antigravity Agent: Autonomous Keyword Bid Tuning Notes from an Indie iOS Studio

How I delegated Apple Search Ads keyword bidding to Antigravity sub-agents for an indie wallpaper app portfolio. JWT auth, ROAS / CPI bid policy, and a Crashlytics-driven safety net.

◉ Antigravity/2026-05-23Intermediate

Which Local-LLM Path to Keep with Antigravity: Ollama, LM Studio, or Raw Gemma 4 (Indie Judgment Notes)

After running three local-LLM paths from Antigravity in parallel, here is what I kept and what I cut, written from a one-Mac-mini indie operation.

▣ App Dev/2026-05-21Advanced

Tuning AdMob Placements at Runtime with Firebase Remote Config and an Antigravity Agent

A practical look at how I combine Firebase Remote Config with an Antigravity Agent to nudge AdMob placements while the app is live, drawn from years of running wallpaper apps as an indie developer.

◈ Agents/2026-05-12Intermediate

What I Delegated to an AI Agent — And What I Should Have Kept

Delegating production work to an Antigravity agent taught me where the line sits between what an agent should own and what I have to decide myself. Here's the framework — and the gate script — I now use before handing off any task.

◈ Agents/2026-05-12Advanced

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.

◈ Agents/2026-05-11Advanced

Canary Deployment with Auto-Rollback for AI Agents — Protecting Production with Antigravity and Burn-Rate SLOs

A practical playbook for shipping new AI agent versions through canary deployment on Antigravity, with automatic rollback driven by burn-rate SLOs. Includes a lightweight setup that solo developers can sustain.