All Articles
AgentKit 2.0 Production Design Patterns — Strategic Architecture for 16 Specialized Agents
How to compose AgentKit 2.0's 16 specialized agents on a real production project: five orchestration patterns, which four agents earn a permanent seat, AGENTS.md as team standards, and how to split work across a 1M token context with Gemini 3.1 Pro.
Antigravity × Durable Execution: Designing Fault-Tolerant Long-Running AI Tasks
An implementation guide for putting Antigravity agents to work on long-running jobs using Durable Execution — covering checkpointing, idempotency, and automatic retries, plus a compare-and-swap checkpoint store, fault-injection testing, and seven production pitfalls the official docs never spell out.
Diagnosing and Fixing Unresponsive AI Agents
Systematic guide to diagnosing and fixing AI agents that stop responding, freeze, or behave unexpectedly. Covers prompt issues, context problems, API keys, network errors, and resource exhaustion with code examples.
Run Autonomous AI Agents 24/7 with Trigger.dev— Beyond Low-Code Workflow Tools
Build and operate autonomous AI agents around the clock using Trigger.dev and TypeScript. Move beyond Zapier, Make.com, and n8n with durable task execution and self-hosted infrastructure.
Getting Started with Antigravity AgentKit 2.0 — Multi-Agent Development Made Practical
Learn to build sophisticated multi-agent systems with AgentKit 2.0, featuring 16 specialized agents and 40+ domain-specific Agent Skills.
to Design Systems × AI Development— Building a Seamless Workflow with UI Stack, AutoLayout, and Variables
Comprehensive system integrating UI Stack, AutoLayout, Variables, and VRT with AI development. Implementation guide from design system architecture to multi-agent automation pipeline and VRT integration.
Antigravity AgentKit 2.0— to Production Multi-Agent Orchestration
Master AgentKit 2.0 multi-agent orchestration: Manager/Surface/Worker architecture, implementation patterns, and production-ready operational foundations.
How to Safely Automate Database Migrations with Antigravity Agents
A practical design for safely automating database migrations with Antigravity's AI agents — AGENTS.md policies, a risk map by change type, Expand/Contract phasing, pre-flight verification with a shadow DB, and measured lock times on large tables, all worked backward from a real production incident.
Designing a SKILL.md-Driven Code Review Agent
As AI accelerates implementation, review workload grows. Learn how to design a code review agent around SKILL.md — including a 9-step review process, quality guides, and custom instruction architecture.
Multi-Agent Architecture with AGENTS.md — Collaborative AI Development in Antigravity
Master AGENTS.md syntax to define multi-agent roles, communication patterns, and orchestration. Learn to architect collaborative systems using Manager Surface for large-scale projects in Antigravity.
Antigravity Agent Safety Guide — Preventing Runaway AI and Implementing Guardrails
A comprehensive guide to AI coding agent safety. Learn sandboxing techniques, resource controls, network policies, and defense-in-depth strategies for Antigravity.
Multi-Agent Development with Antigravity — Building Autonomous AI Teams with AgentKit
Deep dive into AgentKit 2.0 multi-agent design patterns. 5 orchestration strategies, runaway prevention, cost control, and production-ready templates.