Agentic Engineering

Agentic Engineering

#2: Why a good answer doesn’t mean a good agent
Ammar Mohanna argues that most teams are measuring outcomes when they should be measuring behavior across the entire agent workflow
 • Tanya D'cruz and Ammar Mohanna
#1: What happens when OpenClaw meets LangGraph?
Building AI agents that can operate beyond the chat window
 • Tanya D'cruz and Ben Auffarth
OpenClaw + LangGraph playbook
Scheduling, subagents, permissions, and messaging in one system
 • Tanya D'cruz and Ben Auffarth
Lessons from the frontlines of small-model development
Why small models are harder than they look, with Maxime Labonne
 • Tanya D'cruz
And thus, Agentic Engineering was born
At some point, it stopped looking like interest in a technology category and started looking like interest in an engineering discipline
 • Tanya D'cruz

May 2026

Inside the realities of AI engineering
A roundtable with AI Engineering author Chip Huyen and LLM Engineer’s Handbook co-authors Paul Iusztin and Maxime Labonne
 • Tanya D'cruz
52:00
Why AI agents need orchestrators
Modularity and the coordination problem behind autonomous systems
 • Tanya D'cruz
The spectrum of today's agents
How systems evolve from retrieval and task execution toward operational autonomy
 • Tanya D'cruz
Older ideas still shaping modern AI agents
Deliberative, reactive, and hybrid architectures explained through today’s agent systems
 • Tanya D'cruz
Design patterns behind AI agents
The recurring architectures underneath today’s agent frameworks and orchestration stacks
 • Tanya D'cruz
Anatomy of an AI Agent
AI agents aren’t a single breakthrough, but rather systems made up of interacting components
 • Tanya D'cruz
The conversation changed. So are we.
AI_Distilled is becoming Agentic Engineering
 • Tanya D'cruz
© 2026 Packt · Privacy ∙ Terms ∙ Collection notice
Start your SubstackGet the app
Substack is the home for great culture