All Articles
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.
Antigravity Remote Agents Guide — Run AI Agents in the Cloud
Run Antigravity AI agents on remote servers and cloud VMs via SSH. Execute large-scale tasks without consuming local resources.
Antigravity Advanced Prompt Engineering — Agent Instructions, AGENTS.md & Context Design
Extract maximum performance from Antigravity's AI agents through advanced prompt engineering. Covers AGENTS.md design, context window optimization, role-playing techniques, chain-of-thought, self-verification loops, and real-world agent rule definitions.
Multi-Agent Orchestration with Antigravity — A Production Implementation Guide
Build production-grade multi-agent systems using Antigravity. Covers orchestrator/worker separation, DAG-based task management, parallel execution, retry logic, and cost optimization with real Python code.