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.
Build an AI Agent SaaS with Antigravity × AgentKit 2.0 × Stripe — A Complete Implementation Guide for Solo Developers
A complete guide to building a subscription-based AI agent SaaS using AgentKit 2.0 and Stripe with Antigravity. Covers architecture design, billing integration, rate limiting, Webhook idempotency, and production deployment — everything tutorials skip.
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
A systematic breakdown of orchestration design patterns for multi-agent systems — covering agent coordination, task delegation, and feedback loops with practical code examples.
Antigravity × Gemma 4 Multi-Agent Workflow: Building Local LLM-Powered AI Systems
Learn how to combine Antigravity IDE with Gemma 4 to build multi-agent systems that run entirely on your local machine. From setup to a practical CI/CD pipeline, this guide has you covered.
Complete Gemma 4 × Antigravity Troubleshooting — From Installation to Multi-Agent Debugging
Comprehensive guide to troubleshooting Gemma 4 with Antigravity. Learn installation fixes, quantization tuning, multi-agent communication debugging, AgentKit 2.0 integration, and performance optimization.
Antigravity Multi-Agent Design: 7 Common Pitfalls and How to Fix Them
Deep dive into 7 critical multi-agent design pitfalls: context sharing failures, loop detection misconfiguration, timeout issues, race conditions, credit inefficiency, error propagation, and async debugging. Includes observability patterns and production-ready templates.
Antigravity Multi-Agent Orchestration Guide: From Communication Errors to Production
Complete guide to designing and implementing multi-agent systems with Antigravity. Covers architecture patterns, communication error troubleshooting, and production stability.