All Articles
Resolving AGENTS.md Precedence Conflicts in Antigravity Monorepos
When you place AGENTS.md in both the repo root and a subfolder, Antigravity merges them — but the agent often follows the wrong one. Here is how the precedence actually works, with concrete patterns to remove the conflict.
Giving Your Antigravity AI Agents a 'Time Budget' — A Production Scheduling Design That Unifies Timeouts, Priorities, and Deadlines
Your AI agent's response time creeps up, users drop off, and unexpected costs pile on. Here is how I give Antigravity agents a single 'Time Budget' object that unifies timeouts, priority, and deadlines, plus the traps I hit after half a year in production.
Why Antigravity Agents Can't Read Your .env File — Three Propagation Paths to Check First
When an Antigravity agent fails with Missing API_KEY but the same build works in your terminal, the cause is one of three env propagation paths. Diagnose each.
Designing Confidence Scores for Antigravity Agent Outputs: Auto-Approve the Certain, Escalate the Ambiguous
Reviewing every Antigravity Agent output by hand does not scale. Attach a confidence score to each output, auto-approve the certain ones, and only escalate the ambiguous to humans. This guide walks through implementation and threshold calibration end to end.
The Self-Critique Architecture for AI Agents — Four Reflection Patterns That Make Antigravity Outputs Trustworthy
Four production-tested patterns for adding self-critique loops to Antigravity agents, with implementation code, stopping conditions, confidence calibration, and cost-control strategies.
Replay-Driven Agent Design — Time-Travel Debugging for Production AI Agents
Reproduce one-off agent failures from production on your laptop. A practical three-layer replay design — event, state, and decision — built on top of Antigravity's Manager Surface, with TypeScript code you can drop into your own stack.
Giving AI Agents an Aesthetic Sense — Building a UI Quality Evaluation Pipeline with Antigravity × Gemini Vision
Explore how to encode the vague judgment of 'is this UI good or bad' into code. Combines Antigravity with Gemini Vision to implement a complete pipeline — from screenshot capture to AI evaluation, improvement suggestions, automated fixes, and CI/CD integration.
Enterprise Multi-Agent Skill Management with gh skill — Profiles, CI Validation, and Cross-Agent Consistency
A complete architecture for managing SKILL.md across multi-agent teams. Covers role-based skill profiles, three-layer agent compatibility design, GitHub Actions CI validation, and automated release notifications.
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.