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Articles tagged "learning".

The 2026 Learning Roadmap From Zero to Engineer: What to Learn, in What Order, and How Much

2026-08-01 18:00:00 · Learning

A six-step learning roadmap for working adults and students starting from zero toward becoming an engineer: what to learn, in what order, and roughly how much. passed.jp covers the path from the basics through language choice, a framework, Git, and a portfolio to keeping going, plus seven common give-up points and six neutral axes for choosing between self-study and a school.

The Prettier Your Mistake Notebook, the Less It Works: 7 Steps to Build a Retest Device, Not a Fair Copy

2026-07-24 18:30:00 · Learning

Build a mistake notebook that works as a retest device in 7 steps: sort errors into 3 types, skip model answers, re-solve at 1, 3, and 7 days, cap at 3 min.

When to Start Past Papers, How Many Years, and How Many Passes: Open Them on Day One as Your Map

2026-07-23 18:00:00 · Exam Prep

For exam candidates: open past papers on day one as a map, not a final test. When to start, how many years, three passes, and 3 mistakes to avoid.

In a Slump, Your Self-Assessment Loses Its Ground Twice Over: 8 Steps to Count Records, Not Memory

2026-07-20 18:00:00 · Learning

In a slump you can't recall what you did or what you meant to do, and all that's left is the feeling that you failed. When I counted the records, I had published nine articles and about 52,000 characters in the month from June 22, yet the open-source release I had promised was still undelivered. Eight steps for re-assessing yourself on records instead of memory, plus the rules I've set for myself.

Engineering When AI Writes the Code — Humans Hold the Meaning Inside, For Now

2026-07-11 17:10:00 · Learning

Now that AI writes the code, what engineering is left for humans? Self-study's old walls (setup, errors, no one to ask) have melted. In their place is a new gap: you can have it built, but you don't understand it. Understand the meaning inside, direct AI precisely, and read its output closely enough to notice when something is off. An honest essay on testing small, and on a future that forks in two.

How to Cycle Through a Problem Set: Go Rough on the First Pass, Then Repeat Only What You Got Wrong

2026-07-01 18:00:00 · Learning

How to cycle through a problem set so it sticks, for anyone told to "work through it," using passed.jp's English problem set: solve everything untimed on the first pass, then repeat only what you got wrong until none are left. With what not to do and an FAQ.

When Self-Taught Programming Won't Stick: Six Systems to Rebuild Without Willpower

2026-06-30 18:00:00 · Learning

For self-taught programmers who have stalled: how to rebuild your study with systems instead of willpower, from the author's own experience of stumbling. Three structural reasons you break, six systems with a "why it works" for each, six common sticking points and how to get out, plus an FAQ.

How to Restart When Your Studying Plateaus: Three System-Based Steps That Don't Rely on Willpower

2026-06-11 20:35:00 · Learning

For anyone whose studying has stalled, this article lays out three steps for restarting with systems instead of willpower, based on real experience. A plateau isn't a talent problem: the easy parts get automated, so your brain spends less time under load. Because motivation is a consumable, rebuild with one visible metric, yesterday's wrong answers first, and tomorrow's first problem left open.

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