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.
Engineering
Advanced PGVector Data Modeling: Scaling Million-Row RAGEvolution in PostgreSQL
Advanced PGVector Data Modeling: Scaling Million-Row RAGEvolution in PostgreSQL
The 'Clean Code' of 2026: Architecting Deterministic AI Workflows
The 'Clean Code' of 2026: Architecting Deterministic AI Workflows
GraphRAG in Production: Engineering Deterministic AI and Closing the Reasoning Gap
GraphRAG in Production: Engineering Deterministic AI and Closing the Reasoning Gap EXECUTIVE SUMMARY The transition from 2025 to 2026 has marked the end.
Model Context Protocol (MCP): The Global Interoperability Layer for the Agentic Era
Model Context Protocol (MCP): The Global Interoperability Layer for the Agentic Era EXECUTIVE SUMMARY In the 2026 industrial landscape, the bottleneck for.
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 “Model Context Protocol (MCP)” about?
Model Context Protocol (MCP): The Global Interoperability Layer for the Agentic Era EXECUTIVE SUMMARY In the 2026 industrial landscape, the bottleneck for.
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 April 16, 2026. Reading time is 25 min read. It is filed under Engineering.
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 Model Context Protocol (MCP) for your team, request a briefing at https://shahvatsal.com/contact.