Insights & Essays.
Field notes for CTOs and principal engineers: what shipped, what failed, and how to staff the next AI program. Depth first — no vendor recap.
Latest Articles
Google Antigravity Practical Guide: From Architecture to Daily Autonomous Development Workflows
Master daily software engineering in Google Antigravity.
Google A2A Protocol: Building Vendor-Agnostic Multi-Agent Networks Beyond MCP in 2026
Master Google's Agent-to-Agent (A2A) protocol. Connect LangGraph, CrewAI, AutoGen, and Vertex AI across enterprise boundaries with verifiable credentials.
Google Cloud Vertex AI Agent Builder + Antigravity: From IDE to Managed Runtime
vertex ai agent builder production 2026 — Enterprise guide to deploying Google Cloud agent engine, Antigravity IDE, Spanner memory, and context caching.
External Standards & Publications
Our engineering publications follow industry standards for software architecture and agentic AI systems. Read more about technical specifications at the IEEE Standards Association and general web engineering principles at the World Wide Web Consortium (W3C).
What is “Google Cloud Vertex AI Agent Builder + Antigravity” about?
vertex ai agent builder production 2026 — Enterprise guide to deploying Google Cloud agent engine, Antigravity IDE, Spanner memory, and context caching.
Who wrote this article and when was it published?
Written by Vatsal Shah, an AI Leader and Solution Architect based in Ahmedabad, India, and published on June 15, 2026. Reading time is 35 min read. It is filed under Cloud / Google Cloud.
How can I apply this in my own organization?
Use the sections of this article as a working checklist, adapt each step to your platform and risk profile, and record the decisions you make. To discuss Google Cloud Vertex AI Agent Builder + Antigravity for your team, request a briefing at https://shahvatsal.com/contact.