All Articles
gh skill: Sharing AI Agent Knowledge Across Claude Code, Copilot, Cursor, and Gemini CLI
The gh skill GitHub CLI extension lets you package SKILL.md definitions and distribute them across 30+ AI coding agents. Here's how it works and how to get started.
2026 AI Coding Agents Compared: How to Use Claude Code, OpenCode, Cursor, and Gemini CLI Together
The 2026 AI coding agent landscape is fragmented on purpose. Claude Code, OpenCode, Cursor, and Gemini CLI each have distinct strengths. This guide builds a practical framework for choosing and combining them based on project needs.
Building a Subscription AI Agent Service with AgentKit 2.0 — Stripe Billing to Monthly Revenue Design
Complete guide to building and monetizing a subscription-based AI agent service using AgentKit 2.0. Covers Stripe integration, multi-agent design, pricing strategy, and churn prevention — everything needed to reach stable monthly recurring revenue.
A Practical Guide to Designing Multi-Agent Workflows with Google ADK
Learn how to design and implement multi-agent workflows using Google Agent Development Kit. Covers orchestrator and sub-agent role design, state passing, parallel execution, and graceful error handling with real examples.
Debugging Antigravity AI Agents: A Systematic Diagnosis Guide
A systematic approach to diagnosing AI agent failures in Antigravity—covering startup failures, tool call errors, loop detection, and incorrect behavior—with practical debugging patterns for each.
Designing Antigravity's Architect / Builder Mathematically — Agent Design Through the Lens of Search, Classification, and Inference
Antigravity's Architect/Builder split looks suspiciously like the math behind search engines and classifiers. Here is a way to think about agent design using the language of weighting, candidate pruning, and probability — for more stable, reproducible agents.
AI Agent Orchestration Design Patterns — Task Decomposition, Handoffs, and Loop Control
A practical look at the design challenges you encounter when actually running AI agents: task decomposition granularity, sub-agent handoff structures, and reliable loop termination.
Building an Agent-Driven SaaS on Antigravity and Stripe — A Complete 2026 Implementation Guide
An end-to-end implementation guide for shipping an automation SaaS built on Antigravity's agent capabilities, Stripe, and Cloudflare Workers — covering task queuing, concurrency control, webhook handling, and the agent-specific edge cases (timeouts, partial failure, cost runaway) that always show up.
Engineering Quality Into AI Agents — When Autonomous Execution Breaks and How to Prevent It
Autonomous AI agents degrade over time. This article shows how to catch the decay before it breaks, with multi-stage verification gates and a failure dictionary that lets agents self-recover — drawn from running four sites with multiple agents in parallel.
Can Antigravity Post to Instagram and TikTok Automatically? — Building an SNS Marketing Automation Pipeline
Learn how to build an automated posting pipeline for Instagram and TikTok using Antigravity agents. From Meta Graph API setup to TikTok Content Posting API integration, this guide walks you through a working implementation.
Multi-Agent CI/CD Quality Gate — Automating PR Review, Testing, and Security with Antigravity × GitHub Actions
A complete implementation guide for building a multi-agent CI/CD quality gate using AgentKit 2.0 and GitHub Actions. Covers parallel code review, test generation, and security scanning agents — with production cost management and pitfall solutions.
Replacing Prompt Engineering with DSPy in Antigravity: A Production Playbook for Self-Optimizing LLM Programs
Replace hand-tuned prompts with self-optimizing LLM programs in Antigravity — DSPy signatures, optimizers, evaluation, and production deployment.