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.
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.
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×.
Implementing Agent-to-Agent Communication in Antigravity Using the A2A Protocol
A practical guide to wiring agents together with the A2A protocol on Google Antigravity. Covers the design rationale, endpoint shapes, authentication, error handling, and the production-readiness checklist I run through.
A Multi-Agent SQL Tuning Workflow with Antigravity — Splitting Analysis, Strategy, Implementation, and Verification
Treat SQL tuning as a relay race instead of a single chat. This guide shows how to wire four specialised Antigravity agents — Analyzer, Strategist, Implementer, Verifier — into a repeatable workflow you can actually trust in production.
Implementing Antigravity's A2A Protocol — Practical Patterns for Agent-to-Agent Conversation
A hands-on guide to Antigravity's A2A (Agent-to-Agent) protocol. Walks through the minimal two-agent setup and three real-world patterns — fire-and-forget, bidirectional confirmation, and scatter-gather — with runnable samples.
Production Multi-Agent Systems with Antigravity AgentKit 2.0: Patterns, Failure Modes, and What the Demos Don't Show
AgentKit 2.0 makes multi-agent systems look effortless in demos, but running them in production is a different problem. This guide covers Planning vs. Fast mode, three real orchestration patterns, and the failure modes — infinite loops, cost blowouts, prompt injection — that bite on day one.
Multi-Agent Design Patterns in Antigravity — Building Workflows That Don't Break
Practical patterns for designing multi-agent workflows in Antigravity. Covers orchestrator architecture, state management, error recovery, and debugging techniques for building resilient systems.
Antigravity × AgentKit 2.0 × Gemma 4: Cut API Costs by 80% with a Local Multi-Agent System in Production
A complete implementation guide to combining AgentKit 2.0 with locally-run Gemma 4, cutting cloud API costs by 80% while maintaining production-grade quality. Covers hybrid LLM routing, fault tolerance, and cost monitoring.
AI Agent Orchestration: Designing and Implementing Multi-Agent Systems
One failing agent can erase the work of the ones that succeeded. Four orchestration patterns, plus the boundaries that break in production, with runnable fixes.