All Articles
Resilient AI Agents in Antigravity — Retry, Circuit Breakers, and Fallback Strategies for Production
Build fault-tolerant AI agents in Antigravity with production-grade retry strategies, circuit breakers, model fallback chains, and checkpoint recovery. Every pattern you need to keep agents running reliably.
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.
AI Agent Design Patterns in Practice: From Implementation to Production
Master the four major AI agent design patterns used in production environments. Learn the strengths, weaknesses, and implementation strategies for each pattern with real-world enterprise insights.
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.
Accelerating AI Agent Development with Gemma 4
A practical guide to building AI agents with Google's Gemma 4. Covers model size selection, function calling, structured JSON output, multimodal agents, and parallel tool execution with working code.
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.
Building Multi-Agent Collaboration Systems in Antigravity: From Design to Production
A comprehensive guide to designing and implementing multi-agent collaboration systems in Antigravity. Covers architecture patterns, agent communication, error recovery, state management, and production monitoring.
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 Agent Not Following Instructions: How to Fix Task Misunderstandings
When your Antigravity agent misunderstands instructions or drifts off-task, the fix is usually in how instructions are structured—not in the code. Learn agents.md design, task granularity, and context management to keep your agent on track.
Antigravity Multi-Agent System: The Complete Implementation Guide
Master Antigravity's Manager Surface to design and implement multi-agent systems. Learn role delegation, parallel processing, and how to pair Gemma 4 with Antigravity for autonomous development workflows.