Complete AI Design Automation Strategy: Combining Stitch, Figma Make, and MCP
Advanced implementation guide for AI design automation targeting solo developers and small teams. Covers Design.md architecture, Figma Make strategies, MCP code generation, team patterns, and ROI optimization techniques.
Building a Production Quality Automation Pipeline with Antigravity, Sentry, and GitHub Actions
A complete guide to integrating Antigravity AI agents with Sentry error tracking and GitHub Actions to automate the entire quality loop — from bug detection to auto-fix pull requests — in production.
Antigravity AI Data Pipeline × ETL Automation Production Guide
Build production-grade data pipelines and automate ETL processes with Antigravity AI agents. Cover schema inference, data cleansing, anomaly detection, and PostgreSQL/BigQuery integration
Antigravity × Custom Code Generator — Building Project-Specific Code Generation Pipelines with Template Engines + AI Agents
Learn how to build custom code generators by combining Antigravity's AI agents with template engines. Master Hygen, Plop, and custom TypeScript scaffolding integrated with AGENTS.md to elevate your team's code quality and productivity.
How to Safely Automate Database Migrations with Antigravity Agents
A practical design for safely automating database migrations with Antigravity's AI agents — AGENTS.md policies, a risk map by change type, Expand/Contract phasing, pre-flight verification with a shadow DB, and measured lock times on large tables, all worked backward from a real production incident.
Building Custom AI Development Tools with Antigravity and Gemini API
Learn how to integrate Gemini API with Antigravity IDE to build custom AI-powered development tools — from automated code review to documentation generation and test scaffolding, with production-ready implementation patterns.
Designing a SKILL.md-Driven Code Review Agent
As AI accelerates implementation, review workload grows. Learn how to design a code review agent around SKILL.md — including a 9-step review process, quality guides, and custom instruction architecture.
Build an AI Workflow to Auto-Generate Code from GitHub Issues with Antigravity
Learn how to connect Antigravity's AI agent with GitHub Issues to automatically generate code from issue descriptions. Covers MCP server setup, AGENTS.md configuration, and practical workflow patterns.
Harness Engineering: Building Stable AI Agents
Master the four pillars of harness engineering—constraint, information, verification, and correction—to build AI agents that improve automatically and maintain stability at scale.
Antigravity × AI-Powered Documentation — Build an Automated Doc Generation Pipeline from Your Codebase
Learn how to build an automated documentation pipeline using Antigravity's AI agents. From JSDoc/TSDoc parsing to Markdown output and CI/CD integration, this guide covers practical workflows for keeping your docs in sync with code.
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.
Antigravity × Terraform: AI-Driven Infrastructure Automation — Let AI Generate, Review, and Deploy Your IaC
Learn how to combine Antigravity's AI agents with Terraform to automatically generate, review, and deploy infrastructure code with built-in security and cost guardrails.