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

3 on this page · 1 page

AI & Software Development

Designing Custom MCP Servers for Developer Agents: Exposing Local Tools to Claude and Cursor

A complete step-by-step developer tutorial on creating custom Model Context Protocol (MCP) servers in Node.js and Python to expose local databases, git.

20 mins read · July 14, 2026
Python / Backend

FastAPI + uv + asyncio: The 2026 Python Production Trinity

Master fastapi uv production stack 2026. Build high-performance async backends utilizing uv packaging, task groups, and OpenTelemetry.

7 mins read · June 18, 2026
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.

26 mins read · June 18, 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 “LangGraph vs CrewAI vs AutoGen” about?

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

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 18, 2026. Reading time is 16 min read. It is filed under AI Agents.

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 LangGraph vs CrewAI vs AutoGen for your team, request a briefing at https://shahvatsal.com/contact.

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