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Roadmap to Become an Agentic AI Engineer: flashcards, not a roadmap

Lamhot Siagian · self-published, January 2026
14 de julio de 2026 por
Roadmap to Become an Agentic AI Engineer: flashcards, not a roadmap
Andrés Briñez

The document turns a learning path into interview practice: ten blocks — language fundamentals, model concepts, choosing a framework, memory, tools, retrieval over documents, agents, deployment — each with ten questions and a model answer. It is written to land a job, and that decides everything else about it.

What I took from it

The order, which is the only durable part: fundamentals before frameworks, frameworks before multi-agent architectures, deployment last. It sounds obvious and almost nobody honours it; most people start from the framework of the month and find out late that the problem was application design.

Two answers that are judgement rather than filler. First: validate every tool's input against a schema before running it, so invented parameters become a readable error the agent can correct instead of a quietly wrong call. Second: keep system logic separate from business logic, so changing an instruction is not a risky intervention.

It also left me a way of reading this kind of material: the questions say more than the answers. Read only for what the market is asking, the document works as an x-ray of what is currently considered table stakes, and that is a cheap thing to check twice a year.

And one small structural point I kept: memory, tools and retrieval come before agents. Most of what people call an agent problem turns out to be a retrieval problem wearing a costume.

What I left out

The model answers, which are the generic ones anybody would write, and the framework-selection section, which is a snapshot of one moment and ages in months. A document with the year in its title announces its own expiry. Good for an afternoon of orientation, useless for planning two years.

The Software Architect Elevator: the summary holds up better here, and still loses the best part
Gregor Hohpe · O'Reilly, 2020 · read as a commercial summary
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