Why seek balance?
Only theory — you know, but you are afraid of the keyboard. Only practice — you write, but you don't understand why the solution works and where its boundaries are. You need a rhythm: a little theory → immediately hands-on → a short analysis.
Principle: small cycles, frequent feedback
Formula 70/20/10
70% — practice. Mini-tasks, micro-projects, small edits to someone else's code.
20% — theory. Algorithms and data structures, databases, networks, testing, Git.
10% — feedback. Review, mentor, community, error analysis.
TLD Learning Cycle: Theory → Lab → Debrief
Theory (15–40 min) — one narrow piece of knowledge with 1–2 examples.
Lab (40–90 min) — a small laboratory: "do the same on other data", "rewrite to another structure", "improve the complexity".
Debrief (10–20 min) — analysis: what happened, where it hurt, what one step to automate.
The secret of speed is 2-3 such cycles per week, and not a heroic "run on Saturdays". 🏃♂️
What exactly do you need from the theory?
Algorithms and structures: lists/arrays, dictionaries/hashes, stacks/queues, trees/graphs, complexity
O(...).Paradigms: basic OOP (encapsulation/inheritance/polymorphism), higher-order functions.
Web and networks: HTTP, REST/JSON, caching, cookies/sessions.
Bases: SQL vs NoSQL, indexes, transactions.
Quality: unit tests, fixtures, liners, formatters.
Tools: Git branches, Pull Request, basic CI.
What practice really levels you up?
Sessions of 5–20 minutes: one idea — one file — one conclusion.
Micro-projects for 3–7 days: TODO list, mini-bot, small REST API.
Refactoring someone else's code: find "smells", cover with tests, speed up.
Public feedback: publish code, get reviews, implement comments.
How to measure progress?
How many cat/micro-features are closed (not hours of "viewing").
How many tests do critical functions have?
The time for solving repetitive tasks should be reduced.
PR review: whether the number of basic comments is decreasing.
"Pain scale": the list of topics that scare you is getting shorter every week.
In Codice you go through short modules, solve practical problems and get instant auto-check. There are levels, achievements and progress by weeks — learning becomes exciting.
And if you need support, join our warm Telegram community: ask questions, ask for reviews and share your victories. The community is your "+10%" to the growth rate. 💬
Proper training is a rhythm: a little theory → practice → a short analysis. Keep the balance 70/20/10, measure progress with tasks and do not forget about feedback. This way you grow quickly and without burnout.