Resilient AI Agents in Antigravity — Retry, Circuit Breakers, and Fallback Strategies for Production
Build fault-tolerant AI agents in Antigravity with retry strategies, circuit breakers, model fallback chains, and checkpoint recovery — plus a measured look at why exponential backoff alone leaves retry storms completely intact at 200-agent scale.
AI Agent Error Recovery Design: Building Pipelines That Don't Stop
Covers the typical failure patterns AI agents encounter in production and practical implementations of retry, fallback, and circuit breaker patterns to keep pipelines running.
Antigravity × Gemini API Multimodal Complete Implementation Guide: Building Production-Ready AI Apps with Text, Images, and Audio
A comprehensive guide to building production-grade multimodal AI apps using Antigravity and the Gemini API. Covers text, image, audio, and document processing with real code, cost optimization strategies, and robust error handling patterns.
Gemma 4 On-Device AI Integration × Antigravity Custom Models — Advanced Workflow Guide
A comprehensive guide covering Gemma 4 on-device AI integration, fine-tuning, custom model deployment with Antigravity, and building production-ready advanced workflows.
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.
AgentKit 2.0 Multi-Agent Collaboration Failures: Complete Recovery Guide
Diagnose and recover from AgentKit 2.0 multi-agent failures—deadlocks, orchestrator loops, silent sub-agent failures, and context contamination. Includes production-ready code for fault-tolerant agent system design.
Antigravity × Vertex AI / Firebase Integration Errors: Complete Production Fix Guide
Comprehensive guide to Antigravity agent integration errors with Vertex AI and Firebase in production. Covers authentication, IAM permissions, Firestore access, Cloud Functions timeouts, real-time sync failures, and end-to-end error monitoring.
Production-Ready AI Agent Design: Orchestration Patterns and Reliability
A comprehensive guide to running AI agents reliably in production. Covers orchestration design, error handling, human-in-the-loop patterns, and state management — everything you need to build agents that hold up in real-world conditions.
Antigravity × MCP in Practice — Spotting Dead Servers and Measuring What Tool Definitions Actually Cost
The MCP servers listed in your Antigravity settings.json may no longer exist. Here is a runnable audit script that checks npm for deprecation, measured token costs for tool definitions, and a rewrite on SDK 2.x — all reproducible on your own machine.
Claude Opus 4.6 + Gemini 3.1 Pro × Antigravity: Multi-AI Production Masterclass
Learn how to build production-grade AI applications in Antigravity using both Claude Opus 4.6 and Gemini 3.1 Pro. This masterclass covers task-based model routing, cost optimization, fallback chain design, and monitoring for real-world deployments.
Antigravity Clean Architecture × DDD Implementation Guide
Implement Clean Architecture and Domain-Driven Design with Antigravity. Master layer separation, repository patterns, use case design, and automated architecture analysis using AI agents
Antigravity × Custom AI Chatbot — Notes from Building RAG, Function Calling, and Streaming UI
Build notes for a custom AI chatbot with RAG, Function Calling, and Streaming UI, including the token-estimation bug that silently discarded 75% of the corpus.