Summary of "ТЫ НЕПРАВИЛЬНО УЧИШЬ ПРОГРАММИРОВАНИЕ"

Core message

The specific first programming language matters far less than what you learn with it. Focus on fundamentals and transferable concepts rather than searching for a “perfect” language.
If you want a faster path to employment, choose popular high‑level languages with many job vacancies. Low‑level languages (e.g., C/C++) typically take longer to master.
Programming learning is engineered and well‑documented: use official documentation and practice problems. There are no secret learning hacks.

Follow a repeating learn/practice cycle:

Guidelines:

Always consult official websites and documentation for languages, frameworks, and libraries — authors usually provide the clearest and most up‑to‑date guides.
Use practice/problem sites and training materials that include exercises (ekr.org is mentioned as an example).
For fast‑moving technologies (modern JavaScript frameworks, Node), prefer recently published materials; check book publication year.
Fundamental books (algorithms, design patterns) remain valuable over time.
Prefer English materials when possible — they are often more plentiful and higher quality.

Filter learning content and stick to a planned path. Random recommendations (e.g., YouTube autoplay) will slow you down.
Before following a tutorial video, check the description for source code. Videos without source code are low value.
Video vs text: well‑written text or official documentation is often superior for learning technical details.

Avoid overambitious “big” pet projects early on — novices often burn out on projects they can’t clearly plan.
Don’t start a large project until you can describe its structure and the technologies you’ll use.
Prefer small, useful tools that solve real personal problems and can be scaled; these are more likely to become portfolio pieces.
There’s no universal learning sequence; use job vacancy listings to identify in‑demand skills and the gaps you should fill.

Programming is a practical craft: you learn by doing. Write lots of code.
Get code reviewed — feedback is essential and accelerates improvement.
Review options:
- Peer study buddies for mutual code review.
- Professional mentors (example cost noted ~ $40/hour).
- Paid/closed communities that include reviews (author mentions such a community).
- GPT‑style chat for automated code review (prompt your code and ask for critique).
Regular practice combined with iterative feedback is the most important lever for growth.

Don’t be afraid of mistakes; iterate and learn from them.
Avoid scattering across too many directions simultaneously — pick a focus early to reduce wasted time.

Official documentation for languages, libraries, frameworks (React, Flutter, Qt cited).
React website (includes learning problems/examples).
Training/problem websites: ekr.org.
Books: use up‑to‑date books for fast‑changing tech; classic texts for fundamentals.
Paid course highlighted: SkillFactory’s “IT specialist” course (covers career guidance across 10 IT areas, project/case work, portfolio building, job support, refund guarantee). Promo code: Montana.
The author’s closed Telegram channel and paid/closed IT community.
GPT chat for automated code review.

Don’t chase every recommended language or the idea of a single “right” starter language.
Avoid jumping between many specialties early on (frontend → testing → analytics, etc.) without a clear plan.
Be wary of tutorial videos that don’t provide source code.