Skip to main content
THE TECHNICAL RECORD

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.

Filter Index: All Records
Intelligence Categories
All Records AI & Cybersecurity 1 AI & Developer Tools 4 AI & Engineering Practices 5 AI & Leadership 1 AI & ML Engineering 5 AI & Software Development 1 AI & Software Engineering 1 AI / Architecture 1 AI / Infrastructure 1 AI / MLOps 1 AI / Marketing 1 AI / Python 1 AI Agents 1 AI Agents & Automation 1 AI Coding Tools 1 AI Developer Tools 1 AI Development & Developer Productivity 1 AI Engineering 6 AI Engineering & Agents 1 AI Security & Governance 1 AI Strategy & Enterprise Architecture 2 AI Tools 1 AI Tools & Infrastructure 2 AI Tools / MCP 1 Agentic AI 1 Agentic Engineering & CLI 1 Agile & SAFe 1 Agile / Enterprise 1 Agile / Process 2 Architecture 1 Artificial Intelligence 3 Blog 4 Business / E-commerce 1 Business / Finance 1 Business / Healthcare 1 Business / Manufacturing 1 Business / Product 1 Business / Transformation 1 Business Operations & GBS Transformation 1 Business Transformation & Global Operations 1 CI/CD & DevOps 2 Career / Philosophy 1 Cloud / AWS 1 Cloud / Azure 1 Cloud / FinOps 1 Cloud / Google Cloud 1 Cloud / IaC 1 Cloud / Kubernetes 1 Cloud / Security 1 Cloud Economics 2 Coding 1 Development 1 Engineering 4 Engineering Leadership 3 Engineering Transformation 1 Enterprise Architecture 2 Enterprise DLT 1 Frontend 3 Frontend & Engineering 1 Frontend Development 1 Generative AI & LLMs 3 Git & DevOps 1 IT Operations & SRE Transformation 1 Leadership 3 Leadership / Management 1 Mobile & iOS 1 Mobile / Android 2 Mobile / Development 1 Node.js 1 Process / AI 1 Product & Marketing 1 Product Engineering & Leadership 1 Product Management 1 Product Management & Work Design 1 Project & Value Management Transformation 1 Python / Backend 1 React / Frontend 1 Software Engineering 4 System Architecture 1 Technology 2 Tools / AI 2 WebAssembly & Edge Computing 1 blog 10

Latest Articles

8 on this page · 2 pages

Cloud / Security

Zero-Trust Cloud for AI Agents: IAM, Secrets, and Federated Identity

Zero-Trust Cloud for AI Agents: IAM, Secrets, and Federated Identity By Vatsal Shah | June 28, 2026 | 25 min read Table of Contents 1.

Git & DevOps

GitOps for Agentic Code: Branching, Review, and Audit When AI Writes 60% of Commits

GitOps for Agentic Code: Branching, Review, and Audit When AI Writes 60% of Commits By Vatsal Shah | June 27, 2026 | 14 min read Table of Contents - The.

AI Tools & Infrastructure

Active RAG: Dynamic Multi-Hop Query Planning and Self-Correction for AI Agents

Tired of passive vector RAG dropping context? Discover Active RAG: dynamic sub-query trees, multi-hop planners, and self-correcting agent loops.

CI/CD & DevOps

GitHub Actions + AI Agents: CI/CD That Reviews, Tests, and Deploys Autonomously

Autonomous AI agents are transforming GitHub Actions from simple rule-based runners into cognitive CI/CD pipelines that review code, fix bugs, and deploy.

Mobile & iOS

iOS 20 + Swift 6: Building App Intents Agents That Actually Ship

Learn how to build next-generation autonomous App Intents agents in iOS 20 and Swift 6, leveraging strict concurrency actors and secure Private Cloud.

Cloud / Azure

Azure AI Foundry Agents: Entra ID, Governance, and the Sovereign Enterprise Stack

Master azure ai foundry agents enterprise 2026. Deploy secure agent loops using Entra ID, Prompt Shields, and sovereign compliance architectures.

AI Agents

LangGraph vs CrewAI vs AutoGen: The 2026 Production Multi-Agent Framework Verdict

Definitive 2026 comparison of LangGraph, CrewAI, and AutoGen for production multi-agent systems.

Generative AI & LLMs

The Agentic Mesh: Architecting Autonomous Swarms with LangGraph and MCP

agentic mesh — Move from single LLM agents to decentralized, peer-to-peer agent swarms. Architect persistent, state-aware meshes using LangGraph and Mod

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).

Frequently asked questions

Answers drawn from this page.

What is “The Agentic Mesh” about?

agentic mesh — Move from single LLM agents to decentralized, peer-to-peer agent swarms. Architect persistent, state-aware meshes using LangGraph and Mod.

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 May 18, 2026. Reading time is 18 min read. It is filed under Generative AI & LLMs.

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 The Agentic Mesh for your team, request a briefing at https://shahvatsal.com/contact.

WhatsApp