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.
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.
Enterprise Multi-Agent Skill Management with gh skill — Profiles, CI Validation, and Cross-Agent Consistency
A complete architecture for managing SKILL.md across multi-agent teams. Covers role-based skill profiles, three-layer agent compatibility design, GitHub Actions CI validation, and automated release notifications.
gh skill: Sharing AI Agent Knowledge Across Claude Code, Copilot, Cursor, and Gemini CLI
The gh skill GitHub CLI extension lets you package SKILL.md definitions and distribute them across 30+ AI coding agents. Here's how it works and how to get started.
A Practical Guide to Designing Multi-Agent Workflows with Google ADK
Learn how to design and implement multi-agent workflows using Google Agent Development Kit. Covers orchestrator and sub-agent role design, state passing, parallel execution, and graceful error handling with real examples.
AI Agent Orchestration Design Patterns — Task Decomposition, Handoffs, and Loop Control
A practical look at the design challenges you encounter when actually running AI agents: task decomposition granularity, sub-agent handoff structures, and reliable loop termination.
Multi-Agent CI/CD Quality Gate — Automating PR Review, Testing, and Security with Antigravity × GitHub Actions
A complete implementation guide for building a multi-agent CI/CD quality gate using AgentKit 2.0 and GitHub Actions. Covers parallel code review, test generation, and security scanning agents — with production cost management and pitfall solutions.
Turning AI Agents into Products — Build Billable Automation Services with Antigravity
Learn how to package Antigravity's multi-agent capabilities into sellable automation services. Covers AgentKit 2.0 orchestration, usage-based billing, and three ready-to-sell agent service blueprints.
Building Multi-Agent Systems with AgentKit 2.0 in Antigravity — A Production Implementation Guide
AgentKit 2.0 dropped the barrier to multi-agent systems sharply. After implementing three different agent-coordination patterns in Antigravity, here's the design playbook covering decisions, traps, and production operation.
Five Paths to Sell AI Agents Built on AgentKit 2.0 — How Indie Developers Should Pick a Distribution Channel
AgentKit 2.0 lets a solo developer ship a real, useful AI agent. The hard question is where to sell it. This article walks through five distribution paths — marketplaces, direct sales, SaaS embedding, productized consulting, and subscription agents — with the trade-offs that matter.
Building a Subscription SaaS on Antigravity Multi-Agent — Role Splits, Quotas, and Stripe Integration That Actually Stick
Antigravity multi-agent is fun to demo. Turning it into the core of a paying subscription SaaS is a different game. Here's the implementation playbook — agent role splits, idempotent task queues, Stripe metered billing, and retention — with working TypeScript code.
Multiplying Your Effective Hourly Rate 10× with Antigravity Multi-Agent — Practical Patterns for Indie Devs
Most indie developers stop earning more not because their skill plateaus, but because they can't run things in parallel. Here's how I use Antigravity multi-agent to parallelize estimation, implementation, and client comms — and lift my effective hourly rate by 10×.