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AI Engineering

Building a Multi-Agent E-Commerce Platform: The Complete Guide

Deep Dive AI Engineering · Apr 12, 2026 · 9 min read
Most AI agent tutorials end at “hello world.” You build a single agent with one or two tools, it answers a few questions, and that is it. The gap between that tutorial and a production system with multiple agents, authentication, observability, and a real frontend is enormous.
Building a Multi-Agent E-Commerce Platform: The Complete Guide

AI Agents: Concepts and Your First Implementation

Deep Dive AI Engineering · Apr 12, 2026 · 20 min read
Revised with .NET examples — A newer version of this article, covering both Python and .NET, is available as part of the MAF v1: Python and .NET series: MAF v1 — 01-first-agent, MAF v1 — 02-add-tools.
AI Agents: Concepts and Your First Implementation

Prompt Engineering for AI Agents -- Grounding, Roles, and YAML Configuration

Deep Dive AI Engineering · Apr 12, 2026 · 21 min read
Revised with .NET examples — A newer version of this article, covering both Python and .NET, is available as part of the MAF v1: Python and .NET series: MAF v1 — 24-prompt-engineering. The newer version pulls role-specific behavior out of the system prompt and into a context provider, so you don’t re-instantiate the agent per role. The five concerns and YAML composition below are still the canonical architecture; the new chapter shows the modernised wiring.
Prompt Engineering for AI Agents -- Grounding, Roles, and YAML Configuration

Frontend: Rich Cards and Streaming Responses

Deep Dive AI Engineering · Apr 12, 2026 · 14 min read
Revised with .NET examples — A newer version of this article, covering both Python and .NET, is available as part of the MAF v1: Python and .NET series: MAF v1 — 03-streaming-and-multiturn.
Frontend: Rich Cards and Streaming Responses

Production Readiness: Auth, RBAC, and Deployment

Deep Dive AI Engineering · Apr 12, 2026 · 12 min read
Revised, split, and expanded — The two halves of this article are now separate chapters in the MAF v1: Python and .NET series: the auth + hardening half is covered by MAF v1 — 20c production hardening (with the password reset, refresh-token rotation, and graceful secret rotation that the original missed), and the deployment half is covered by MAF v1 — 25 deployment (with the .NET twin Dockerfile and a dev.sh that polls instead of sleeping). The architecture below is still the canonical reference for the combined story.
Production Readiness: Auth, RBAC, and Deployment