THE TECHNICAL RECORD

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Field notes for CTOs and principal engineers: what shipped, what failed, and how to staff the next AI program. Depth first — no vendor recap.

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Latest Articles

4 on this page · 1 page

IT Operations & SRE Transformation

ITSM at Agentic Scale: Observability-First Ops When Ticket Queues Cannot Survive 2,000 Agents

Traditional IT service management drowns when 2,000+ autonomous agents deploy.

17 mins read · September 27, 2026
AI & ML Engineering

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.

12 mins read · August 8, 2026
AI & ML Engineering

LLM Interpretability for Production Engineers: Debugging AI Behavior Beyond Logs in 2026

Master LLM interpretability in production. Learn Sparse Autoencoders (SAEs), OpenTelemetry GenAI traces, Langfuse, LangSmith, W&B, and silent failure detection.

17 mins read · August 7, 2026
Cloud / Google Cloud

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.

17 mins read · June 15, 2026

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).

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Frequently asked questions

Answers drawn from this page.

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.

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