All Articles
Building a Business Automation Agent with Antigravity × Google Workspace API — Complete Gmail, Drive, Sheets & Docs Integration
Learn how to build AI agents that automate Gmail responses, generate documents from Drive templates, and create intelligent Sheets reports using Antigravity, Google Workspace APIs, and Gemini.
Antigravity Background Agent Advanced Guide — Task Design, Parallel Execution & CI/CD Integration
From Background Agent internals to task design, AGENTS.md optimization, git worktree parallel execution, GitHub Actions integration, and cost management — everything you need to transform Background Agent from a novelty into a production workhorse.
Antigravity AI Agent Design: Multimodal Production Implementation Patterns
A complete guide to building multimodal AI agents with Google Antigravity (Gemma 4). Covers image+text integration, Function Calling, async batch processing, state management, error handling, and cost estimation — with production-ready code.
AI Agent Memory Design: 4 Patterns for Context That Persists Beyond a Single Conversation
A practical breakdown of four memory architectures for AI agents — from in-session compression to episodic storage — with implementation code and the gotchas that only show up in production.
Antigravity × Python Structured Output Mastery: Building Type-Safe AI Data Pipelines with Pydantic and Google Gen AI SDK
A complete guide to designing and implementing type-safe AI data extraction pipelines using Google Gen AI SDK Structured Output and Pydantic in Antigravity. Covers schema design, error recovery, async processing, and cost optimization.
Multi-Agent Design Patterns in Antigravity — Building Workflows That Don't Break
Practical patterns for designing multi-agent workflows in Antigravity. Covers orchestrator architecture, state management, error recovery, and debugging techniques for building resilient systems.
Building an AI Test Pipeline with Antigravity Agents: Automating Quality Assurance in Production
Learn how to build a production-grade automated test pipeline using Antigravity's AI agents — from unit test generation to E2E testing with Playwright, complete with validation layers and CI/CD integration.
Build an AI Agent SaaS with Antigravity × AgentKit 2.0 × Stripe — A Complete Implementation Guide for Solo Developers
A complete guide to building a subscription-based AI agent SaaS using AgentKit 2.0 and Stripe with Antigravity. Covers architecture design, billing integration, rate limiting, Webhook idempotency, and production deployment — everything tutorials skip.
How Claude Mythos Is Redefining AI Agent Limits—and What Project Glasswing Reveals
Explore Anthropic's Claude Mythos and Project Glasswing: AI agents that autonomously discover zero-day vulnerabilities with 93.9% accuracy on SWE-Bench. Why it's invite-only and what it means for developers.
Antigravity × AgentKit 2.0 × Gemma 4: Cut API Costs by 80% with a Local Multi-Agent System in Production
A complete implementation guide to combining AgentKit 2.0 with locally-run Gemma 4, cutting cloud API costs by 80% while maintaining production-grade quality. Covers hybrid LLM routing, fault tolerance, and cost monitoring.
Building a Coding Agent System with Gemma 4 × Antigravity — A Complete Implementation Guide for Code Review, Test Generation, and Refactoring
A hands-on guide to building a 3-agent collaborative system using Gemma 4 and Antigravity AgentKit 2.0, covering code review, automated test generation, and refactoring suggestions. Includes production-quality code and pitfall solutions.
Unit Testing AgentKit 2.0 Agents with Vitest — A Practical Guide
Learn how to unit test and integration test MCP skill servers built with AgentKit 2.0 using Vitest. Covers mock strategies, InMemoryTransport integration tests, and CI/CD setup with real working code examples.