All Articles
Antigravity × Gemma 4: Building Production AI Agents with Local LLMs
A complete guide to running Gemma 4 in Antigravity and building production-grade AI agents. Covers model selection, Ollama setup, AgentKit 2.0 integration, and multi-agent scaling.
Antigravity AgentKit 2.0 Runtime Errors: Complete Troubleshooting Guide — tool_call Failures, Infinite Loops, and Context Overflow
A comprehensive guide to diagnosing and fixing AgentKit 2.0 runtime errors in production: tool_call failures, infinite loop detection, context window overflow, parallel agent sync errors, and graceful degradation patterns — all with working code.
Antigravity Agent Output Validation Errors: A Practical Fix Guide
Fix Antigravity agent output validation errors systematically: format failures, quality issues, and consistency problems across multi-agent runs — with prompt design, auto-repair patterns, self-checking, and consensus aggregation.
Antigravity Multi-Agent Systems for Solo Founders: Automating 5 Business Functions
A practical blueprint for solo founders using Antigravity's multi-agent capabilities to automate content creation, customer support, analytics, social media, and development. Real system designs from operators who've doubled revenue while cutting work hours.
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 × LangGraph: Complete Masterguide for Stateful AI Agent Development
A comprehensive guide to building stateful AI agents by combining LangGraph with Antigravity. Covers graph-based workflow design, state management, checkpointing, and human-in-the-loop patterns for production-ready systems.
Orchestrating a Team of Specialist Agents Solo: Practical Multi-Agent Design in Antigravity
Master multi-agent development in Antigravity. Deep dive into Manager Surface architecture, specialist agent design, AGENTS.md configuration, common patterns, and production deployment strategies for enterprise-grade systems.
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.
Building Next-Generation AI Agents on Antigravity with AgentKit 2.0
A comprehensive guide to building AI agents with AgentKit 2.0 in Antigravity. Covers the 16 specialized agents, the Orchestrator, Planning vs Fast mode, and practical implementation patterns.
AI Agent Memory Architecture: Designing Long-Term Memory
A systematic guide to giving AI agents long-term memory. Learn how to build a practical memory system combining vector databases, episodic memory, and semantic search.
Antigravity AI Agents × Apple Vision Pro: the New Development Paradigm for Spatial Computing
A comprehensive practical guide to using Antigravity AI agents for Apple Vision Pro app development. Learn how to automate visionOS builds with RealityKit, ARKit, and SwiftUI Scenes, apply spatial UI best practices, and ship to production with confidence.
Design Patterns and Operations for Autonomous AI Agent Systems
A systematic breakdown of AI agent design patterns for real-world use. Covers ReAct, Plan-and-Execute, Reflexion, Multi-Agent, and Human-in-the-Loop — with selection criteria and implementation tips for each.