Agents & Manager Articles
Multi-agent development with Antigravity — Manager Surface leadership, orchestration patterns, loop prevention, and monitoring unattended runs.
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.
3x Faster Client Delivery with Antigravity AgentKit 2.0: A Real-World Freelance Workflow
A complete real-world workflow for tripling your freelance development speed using Antigravity AgentKit 2.0. Covers multi-agent task delegation, automated delivery pipelines, and client communication — for solo developers managing ¥500K–1M/month projects.
Antigravity × A2A Protocol: Complete Implementation Guide for Scalable Multi-Agent Systems
A complete guide to implementing Google's A2A (Agent-to-Agent) protocol with Antigravity. From agent card design to task delegation, streaming communication, and production deployment on Cloudflare Workers.
Antigravity AI Data Pipeline × ETL Automation Production Guide
Build production-grade data pipelines and automate ETL processes with Antigravity AI agents. Cover schema inference, data cleansing, anomaly detection, and PostgreSQL/BigQuery integration
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.
Harness Engineering: Building Stable AI Agents
Master the four pillars of harness engineering—constraint, information, verification, and correction—to build AI agents that improve automatically and maintain stability at scale.
Antigravity Multi-Agent Workflow Guide — Accelerate Development with Multiple AIs
Learn how to use Antigravity's multi-agent features to dramatically speed up your development workflow. From Manager Surface basics to advanced agent coordination patterns.
AgentKit 2.0: Complete Mastery of 16 Specialized Agents
Deep dive into AgentKit 2.0's March 2026 release: 16 specialized agents across frontend, backend, testing, and DevOps categories. Learn role specialization, custom configuration, and workflow comparison with pre-AgentKit approaches.
Antigravity × AI-Driven Security Audit Automation— Building an Agent Pipeline That Detects and Fixes Vulnerabilities
Learn how to build an automated security audit pipeline using Antigravity's multi-agent system. Covers dependency scanning, OWASP-based code reviews, and CI/CD integration for continuous security monitoring.
Running 5 Agents in Parallel on Antigravity: A Production Design for Decomposition, Conflict Resolution, and Merging
A production design for running up to five agents in parallel on Antigravity, written from an indie developer's operations perspective. Covers task decomposition, policy-based conflict resolution, artifact validation and merging, and how to tell when parallelization stops helping.
Build a Real-Time Chat App with Antigravity Agents and Firebase— A Hands-On Guide
A complete hands-on guide to building a real-time chat app with Firebase Realtime Database, authentication, and push notifications — powered by Antigravity's AI agents.
Antigravity × Event-Driven Architecture: Building Reactive Microservices with AI Agents
Learn how to combine Antigravity AI agents with Event-Driven Architecture to design and implement loosely coupled, scalable reactive microservices using CQRS, Saga, and Event Sourcing patterns.
NotebookLM × Antigravity — Building Context-Aware Codebase Knowledge Agents
Learn how to leverage NotebookLM's 8x context window as a codebase knowledge layer and connect it to Antigravity agents via MCP bridge for context-aware code generation, refactoring, and architectural decisions.
Antigravity Multi-Agent Production Patterns — Delegation, Parallel Execution, and Cost, from a Solo Developer View
Antigravity production multi-agent orchestration from a solo developer view. Beyond five orchestration patterns: deciding what to delegate, choosing your degree of parallelism, and the signals to monitor so cost stays in the black.
Antigravity AI Agent Not Responding? Common Trouble FAQ
AI agent unresponsive in Antigravity? This beginner FAQ covers timeouts, interrupted code generation, incorrect file edits, multi-agent failures, context confusion, and high API costs with practical fixes.
Multi-Agent Architecture Design — Leading AI Teams with Manager Surface
Design multi-agent architectures in Antigravity: orchestrate specialized agents with Manager Surface, codify team standards in AGENTS.md, and lead AI teams.
NemoClaw × Antigravity Revenue Automation Pipeline — Automating Development Business Revenue with Multi-Agent Systems
Learn how to build revenue automation pipelines combining NemoClaw's enterprise AI agent platform with Antigravity's parallel development environment. Covers agent development, test automation, deployment, monitoring, and practical revenue models for development businesses.
Six Models, One Editor — Choosing Between Gemini, Claude, and GPT-OSS in Antigravity
Learn how to strategically leverage Gemini 3.1 Pro, Claude Opus 4.6, and GPT-OSS 120B in Antigravity IDE. This advanced guide covers model characteristics, AGENTS.md configuration, cost optimization, and multi-agent workflows.
Antigravity Agent-First Workflow Practical Guide — From Project Management to Skill Design
A complete guide to practicing Antigravity's Agent-First development style. Learn project folder management, Skills Library construction, Artifact system utilization, and when to use different agent modes.
Wiring Next.js + Supabase + Stripe Subscriptions with Antigravity — What I Delegated and What I Wrote by Hand
A working record of letting Antigravity agents build the Next.js and Supabase foundation while writing the Stripe Checkout and webhook layer by hand. Covers signature verification, idempotency, and the metadata handoff that quietly breaks generated payment code.
Building AI Partner Agents with OpenClaw × Antigravity — From Source Code Analysis to Custom Feature Implementation
Discover how to leverage Antigravity's AI coding capabilities to analyze OpenClaw source code and implement custom skills and AI partner features. Learn multi-agent integration best practices.
Agent Memory Design Patterns in Antigravity — Persisting Context Across Sessions
Learn memory design patterns for Antigravity agents to retain context across sessions. Practical implementation examples combining vector databases, episodic memory, and semantic memory.
E2E Test Automation with Antigravity Browser Sub-Agent
A comprehensive, hands-on guide to E2E testing, visual regression testing, and CI/CD integration using Antigravity's Browser Sub-Agent powered by Gemini vision capabilities.
skills.sh Skill Agent Installation Guide
Complete guide to installing, customizing, and leveraging the skills.sh marketplace within Antigravity to automate development workflows with AI agent skills
Google ADK × Antigravity: Build Custom Agent Skills to Extend Your AI
Learn how to build custom agent skills for Antigravity using Google's Agent Development Kit (ADK). From writing SKILL.md instructions to implementing scripts and deploying a real GitHub Issues triage skill — step by step.
Autonomous Task Management with Claude AI Agents — TodoWrite & Parallel Execution Patterns
Learn how to implement autonomous task management with Claude AI agents. Detailed guide on TodoWrite, parallel execution patterns, and practical code examples.
Multi-Agent Orchestration in Practice — Design Patterns and Implementation
Learn how to coordinate multiple AI agents with orchestration patterns. Covers router, pipeline, and consensus patterns with TypeScript implementation examples.