All Articles
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.