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Field journal · №01

The old guide is wrong about juniors

“AI took the junior jobs” is the headline. From the hiring chair, it looks more like a measurement error.

May 20266 min readThe field observer

If you graduated into this market, you have heard the verdict already. The junior rung is gone. A model writes the boilerplate now, so why would anyone pay a person to do it? You sent the applications, you ground the practice problems, and the inbox stayed quiet. After enough silence, the story stops being about the market and starts being about you.

I want to offer a different read, from the other side of the table. I have spent fifteen years building engineering teams, and a large part of that was interviewing people exactly where you are now. The disposable-junior story is not what the hiring side actually sees. It is what an old measurement keeps reporting after the thing it measured stopped mattering.

What the screen was built to measure

Résumé screens and early filters were designed for a world where a junior engineer’s value was throughput: how much correct code they could produce per week, and how quickly they could be trusted to produce it unsupervised. That was a reasonable thing to measure, because that was the scarce thing.

It is not the scarce thing anymore. Producing a plausible first draft of code is now cheap and widely available. So the old filter keeps ranking candidates on a quantity that the work no longer rewards — and the people who optimized hardest for that quantity are not, it turns out, the ones doing the most interesting work.

The juniors who stand out right now aren’t the ones who code fastest. They’re the ones with no habits to unlearn.

The habit problem

Here is the part nobody puts in the headline. A senior engineer carries years of workflow built for a pre-AI world: how they break down a problem, where they reach first, what they trust and what they double-check. Much of that is excellent. Some of it is now in the way. Unlearning a deeply grooved habit is slow and uncomfortable, and plenty of strong, experienced engineers are quietly stuck doing it right now.

You do not have that problem. You are not unlearning anything. The posture that takes a senior real effort to adopt — treating a model as a system to be engineered, not a vending machine — is, for you, just the water you are already swimming in. That is a real, structural advantage. It simply has not been written into any résumé screen yet.

What this does not mean

It does not mean experience is worthless; it is not. It does not mean “just use ChatGPT and you’ll be fine”; that is the opposite of the point. And it is not a promise that the next application gets answered. There are no guarantees in a job search, and anyone selling you one is selling you something.

What it means is narrower and more useful: the thing that is actually valuable about you right now is real, and it is currently invisible to the instrument doing the sorting. The work is not to become a cheaper version of a senior engineer. The work is to become legible — to make the advantage you already have something a person across the table can see and name.

That is what the rest of this guide is about.

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