If you're a software engineer in your 20s, beware of this habit, it can kill your growth faster than anything else.
► Fake learning.
It feels productive, but it's not.
Let me give you a great example:
You wake up fired up.
Open YouTube, start a system design video.
An hour goes by. You nod, you get it (or so you think).
You switch to a course on Spring Boot. Build a to-do app.
Then read a blog on Kafka. Scroll through a thread on Redis.
By evening, you feel like you’ve had a productive day.
But two weeks later?
You can’t recall a single implementation detail.
You haven’t written a line of code around those topics.
You just consumed, but never applied.
That’s fake learning.
It’s learning without doing.
It gives you the illusion of growth, while keeping you stuck.
📌 Here’s how to fix it:
Watch fewer tutorials. Build more things.
Learn with a goal: “I’ll use this to build X.”
After every video, write your own summary.
Recode it from scratch.
Start documenting what you really understood vs. what felt easy.
Real growth happens when you struggle.
When you break things. When you debug.
Passive learning is comfortable.
But discomfort is where the actual skills are built.
Your 20s are for laying that solid technical foundation.
Don’t waste them just “watching smart.”
Build. Ship. Reflect.
That’s how you grow.
Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING 👍👍
► Fake learning.
It feels productive, but it's not.
Let me give you a great example:
You wake up fired up.
Open YouTube, start a system design video.
An hour goes by. You nod, you get it (or so you think).
You switch to a course on Spring Boot. Build a to-do app.
Then read a blog on Kafka. Scroll through a thread on Redis.
By evening, you feel like you’ve had a productive day.
But two weeks later?
You can’t recall a single implementation detail.
You haven’t written a line of code around those topics.
You just consumed, but never applied.
That’s fake learning.
It’s learning without doing.
It gives you the illusion of growth, while keeping you stuck.
📌 Here’s how to fix it:
Watch fewer tutorials. Build more things.
Learn with a goal: “I’ll use this to build X.”
After every video, write your own summary.
Recode it from scratch.
Start documenting what you really understood vs. what felt easy.
Real growth happens when you struggle.
When you break things. When you debug.
Passive learning is comfortable.
But discomfort is where the actual skills are built.
Your 20s are for laying that solid technical foundation.
Don’t waste them just “watching smart.”
Build. Ship. Reflect.
That’s how you grow.
Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING 👍👍
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🔰 TypeScript Roadmap for Beginners 2025
├── 🧠 Why TypeScript? JavaScript with Superpowers
├── ⚙️ Setting up TypeScript (tsc, tsconfig)
├── 🔡 Type Annotations (number, string, boolean, etc.)
├── 📦 Interfaces & Type Aliases
├── 🧱 Classes, Inheritance & Access Modifiers
├── 🔁 Generics
├── ❌ Type Narrowing & Type Guards
├── 🔄 Enums, Tuples & Union Types
├── 🧩 Modules & Namespaces
├── 🔧 Working with TypeScript & React/Vue
├── 🧪 TypeScript Projects:
│ ├── Form Validation App
│ ├── API Data Viewer with TS + Fetch
│ ├── Typed To-do App
Free Resources: https://whatsapp.com/channel/0029Vax4TBY9Bb62pAS3mX32
├── 🧠 Why TypeScript? JavaScript with Superpowers
├── ⚙️ Setting up TypeScript (tsc, tsconfig)
├── 🔡 Type Annotations (number, string, boolean, etc.)
├── 📦 Interfaces & Type Aliases
├── 🧱 Classes, Inheritance & Access Modifiers
├── 🔁 Generics
├── ❌ Type Narrowing & Type Guards
├── 🔄 Enums, Tuples & Union Types
├── 🧩 Modules & Namespaces
├── 🔧 Working with TypeScript & React/Vue
├── 🧪 TypeScript Projects:
│ ├── Form Validation App
│ ├── API Data Viewer with TS + Fetch
│ ├── Typed To-do App
Free Resources: https://whatsapp.com/channel/0029Vax4TBY9Bb62pAS3mX32
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Top 5 Websites Every Developer Should Bookmark 🔖💡
1. DevDocs – All-in-one fast documentation ⚡
2. CanIUse – Check browser support like a pro 🌍
3. Roadmap .sh – Visual guides to grow your dev career 🗺️
4. JSONLint – Instantly validate & format JSON 🧹
5. DataSimplifier – Free Data Analytics Resources 🎯
React ❤️ for more like this
#tech
1. DevDocs – All-in-one fast documentation ⚡
2. CanIUse – Check browser support like a pro 🌍
3. Roadmap .sh – Visual guides to grow your dev career 🗺️
4. JSONLint – Instantly validate & format JSON 🧹
5. DataSimplifier – Free Data Analytics Resources 🎯
React ❤️ for more like this
#tech
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What's Flutter ? 🐦👇
1. Flutter is an open-source UI toolkit from Google for building natively compiled applications.
2. It enables cross-platform development for mobile, web, and desktop from a single codebase.
3. Uses Dart programming language, focusing on a fast and fluid user experience.
4. Features a rich set of pre-designed widgets and tools for rapid and easy UI creation.
5. Offers high performance close to native app speed, with a hot reload feature for quick development iterations.
#flutter
1. Flutter is an open-source UI toolkit from Google for building natively compiled applications.
2. It enables cross-platform development for mobile, web, and desktop from a single codebase.
3. Uses Dart programming language, focusing on a fast and fluid user experience.
4. Features a rich set of pre-designed widgets and tools for rapid and easy UI creation.
5. Offers high performance close to native app speed, with a hot reload feature for quick development iterations.
#flutter
Important Sorting Algorithms-
Bubble Sort: Bubble Sort is the most basic sorting algorithm, and it works by repeatedly swapping adjacent elements if they are out of order.
Merge Sort: Merge sort is a sorting technique that uses the divide and conquer strategy.
Quicksort: Quicksort is a popular sorting algorithm that performs n log n comparisons on average when sorting an array of n elements. It is a more efficient and faster sorting algorithm.
Heap Sort: Heap sort works by visualizing the array elements as a special type of complete binary tree known as a heap.
Important Searching Algorithms-
Binary Search: Binary search employs the divide and conquer strategy, in which a sorted list is divided into two halves and the item is compared to the list’s middle element. If a match is found, the middle element’s location is returned.
Breadth-First Search(BFS): Breadth-first search is a graph traversal algorithm that begins at the root node and explores all neighboring nodes.
Depth-First Search(DFS): The depth-first search (DFS) algorithm begins with the first node of the graph and proceeds to go deeper and deeper until we find the goal node or node with no children.
#coding
Bubble Sort: Bubble Sort is the most basic sorting algorithm, and it works by repeatedly swapping adjacent elements if they are out of order.
Merge Sort: Merge sort is a sorting technique that uses the divide and conquer strategy.
Quicksort: Quicksort is a popular sorting algorithm that performs n log n comparisons on average when sorting an array of n elements. It is a more efficient and faster sorting algorithm.
Heap Sort: Heap sort works by visualizing the array elements as a special type of complete binary tree known as a heap.
Important Searching Algorithms-
Binary Search: Binary search employs the divide and conquer strategy, in which a sorted list is divided into two halves and the item is compared to the list’s middle element. If a match is found, the middle element’s location is returned.
Breadth-First Search(BFS): Breadth-first search is a graph traversal algorithm that begins at the root node and explores all neighboring nodes.
Depth-First Search(DFS): The depth-first search (DFS) algorithm begins with the first node of the graph and proceeds to go deeper and deeper until we find the goal node or node with no children.
#coding
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