Decoding AI Magazine

Decoding AI Magazine

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Agentic AI Engineering Guide
The 6 critical mistakes that silently destroy agentic systems
 • Paul Iusztin and Louis-François Bouchard
Scaling to 120+ AI Agents Without Losing Control
How two-tier orchestration keeps multi-agent systems debuggable
 • Lucian Lature
Behind the Scenes of AI Observability in Production
What actually works after 6 months of trial and error
 • Alejandro Aboy
Your Agent's Reasoning Is Fine - Its Memory Isn't
Using GraphRAG to build a Production Engineer agent that knows dependencies, incidents, and ownership.
 • Anca Ioana Muscalagiu
From 100+ AI Tools to 4: My Prod Stack
How simplicity beats complexity in real AI systems
 • Paul Iusztin
We Killed RAG, MCP, and Agentic Loops. Here's What Happened.
A brutally honest case study of building our vertical AI agent and shipping it to production.
 • Paul Iusztin
Stop Launching AI Apps Without This Framework
A practical guide to building an eval-driven loop for your LLM app using synthetic data, before you have users.
 • Hugo Bowne-Anderson
Escaping POC Purgatory: Evaluation-Driven Development for AI Systems
A new software development life cycle for LLMs
 • Hugo Bowne-Anderson and Stefan Krawczyk
The Real Battle-Tested RAG Playbook
7-steps trusted by OpenAI, Anthropic & Google
 • Jason Liu
Stop Building AI Agents
Here’s what you should build instead
 • Hugo Bowne-Anderson
Deploying LLMs: Cloud, Metal, Serverless
DeepSeek-R1: GCP, Latitude.sh, Modal
 • Paul Iusztin and Louis-François Bouchard
Monolith vs micro: The $1M ML design decision
The weight of your ML serving architectural choice
 • Paul Iusztin
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