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App Dev/2026-06-21Intermediate

Feeding Store Review Guidelines as a PDF to the Agent to Build a Per-App Pre-Release Checklist

Using Antigravity v2.1.4's PDF attachment, this walks through reading the App Store and Play review guidelines into the agent as context and turning them into a pre-release checklist tied to your app's actual features.

App Dev/2026-06-20Advanced

Agent Config Drifts Quietly Across Environments: Detection and Correction

Across two Macs and an automation host, agent settings slowly diverge and only one side fails. Here is how to surface that config drift with normalized hashing and a correction workflow, from an indie developer's setup.

AI Tools/2026-06-20Advanced

A Schedule That Survives 429s: Backoff and Jitter for Agent Automation

Run agents in parallel and rate-limit 429s can cascade until everything dies. Here is how to design exponential backoff and jitter so the retries themselves don't create new congestion, from an indie developer's automation setup.

App Dev/2026-06-20Advanced

When Parallel Agents Corrupt Your Lockfile: Serializing Dependency Installs in Antigravity

Antigravity's parallel agents racing on the same pnpm store and lockfile can corrupt both. Here is how I kept code generation parallel while serializing only the installs with a file lock.

Agents/2026-06-20Advanced

When a Timed-Out Unattended Agent Leaves a Half-Written File Behind

When a scheduled agent gets killed on timeout, it can leave a half-written file that silently poisons the next stage. Here is the atomic write, stale-temp cleanup, and post-write content assertion I use to keep unattended pipelines from breaking.

Tips/2026-06-20Intermediate

Keeping Scheduled Runs Reproducible: Pinning the Antigravity CLI Version to Tame Behavior Drift

The Go-based Antigravity CLI is now available to everyone, and updates are landing at a quick pace. When a CLI baked into your automation upgrades underneath you, a single morning's job can behave differently. Here is how I keep things reproducible — pinning the binary, recording its identity in each run's log, and rolling upgrades forward one job at a time — drawn from running four sites on an overnight schedule.

Agents/2026-06-20Advanced

Don't Lose Failed Agent Jobs: Designing a Dead-Letter and Requeue Path

Scheduled agents fail silently overnight and the work simply vanishes. Here is how to catch those failures with a dead-letter store and a staged requeue, drawn from running four sites on autopilot as an indie developer.

App Dev/2026-06-19Advanced

Designing Safe Background Tasks with the Managed Agents API

Antigravity 2.0's Managed Agents API launches an agent in an isolated Linux environment with a single API call, handling reasoning, tool use, and code execution. Convenient, but left unattended it invites runaways and cost overruns. Here is a design for running it safely as a background task.

Antigravity/2026-06-19Advanced

When CLI, Desktop, and SDK Share One Agent Harness: Designing for Consistent Behavior

Now that Antigravity's CLI, desktop, and SDK share one agent harness, here is how to separate what stays consistent from what differs by environment, and how to align behavior with smoke tests and a version-tracking habit.

Agents/2026-06-19Advanced

Your Antigravity Sandbox Isolates Multi-Agents Less Than You Think — Notes on Containing the Blast Radius

An Antigravity sandbox gives you the feeling of isolation, but isolation leaks through three real gaps: shared volumes, over-broad allowed domains, and approval fatigue. Field notes on plugging the leaks, containing the blast radius by design, and proving isolation holds with tests.

Agents/2026-06-19Advanced

How to Orchestrate Multiple Agents: Drawing the Line Between Parallel and Serial Work

Antigravity 2.0 brings true parallel execution across multiple agents. But making everything parallel does not make it faster. Which work should fan out in parallel, and which should stay serial? This is an orchestration design that does not fall apart, viewed through dependencies and contention.

Agents/2026-06-19Advanced

Parallel or Keep It Serial: The Break-Even Point When Orchestrating Multiple Agents

Should you run agents in parallel or keep them serial? A simple way to estimate the break-even between coordination cost and saved wall-clock time, plus how I actually split parallel vs serial across four scheduled sites.