javascript

Javascript

react

ReactJS

node

NodeJS

typescript

TypeScript

CSS covers styling and layout in frontend development—how a website looks and adapts. It includes selectors and the cascade, box model, positioning and Flexbox/Grid, typography and colors, responsive design (media/container queries), animations/transitions, and building reusable UI themes and components.

Develop and maintain iOS mobile applications using UIKit and SwiftUI · Design and implement new features, optimize and refactor existing code

swift

Swift (IOS Developer)

python

Python

soft-skills

Soft Skills

Frontend System Design is a hard skill—it’s about technical architecture.
But it’s evaluated alongside soft skills (communication & trade-off reasoning).
App architecture & state strategy (SPA/MPA, SSR/ISR, microfrontends)
Performance budgets, caching, CDN/edge, code-splitting
API contracts, schema/versioning, error handling & resiliency
Design system architecture, accessibility, i18n
Testing strategy, observability, security, and deployments

frontend-system-design

Frontend System Design

SQL Databases questions evaluate a candidate’s understanding of relational data, querying, joins, indexing, normalization, transactions, and performance optimization. These questions help assess how well a developer can design database structures, write efficient queries, and work with real-world data reliably.

sqldatabase

SQL databases

Category focused on command-line skills, shell scripting, and everyday terminal usage for developers. It covers working with files, processes, permissions, pipes, redirection, and common Unix-like system commands used in real development and DevOps workflows.

linux-unix-bash-shell-cli

Linux / Unix / Bash / Shell / CLI

Cybersecurity for Full-Stack developers, focused on interview preparation. Covers secure authentication and authorization, common web vulnerabilities, API and session security, frontend and backend attack vectors, data protection, and practical security decisions in modern full-stack applications.

cybersecurity

Cybersecurity for Full-Stack Developers (Node.js/React Stack)

Database optimization interview questions focused on query performance, indexing, execution plans, joins, pagination, transactions, and practical strategies for improving database efficiency in real-world systems.

dboptimization

Database optimization

MongoDB Performance Tuning category focused on improving query speed, indexing efficiency, schema design, aggregation performance, and scaling strategies for real-world MongoDB applications.

mongodbtunning

MongoDB Performance Tuning

Embedded Development covers the design and programming of software that runs directly on hardware devices. This category includes microcontrollers, real-time systems, sensors, communication protocols, memory management, hardware interfaces, debugging, and performance optimization for resource-constrained environments.

embedded

Embedded development

Electronics Basics covers foundational electronics knowledge for embedded engineers, including circuit fundamentals, basic components, schematic reading, practical signal handling, and power and protection concepts.

electronics-basics

Electronics Basics

Master C and C++ for embedded systems, including memory management, pointers, bitwise operations, hardware register access, interrupt-safe code, real-time constraints, and efficient interaction with microcontrollers and peripherals.

c_plus_embedded

C/C++ for Embedded

Assesses practical knowledge of Docker fundamentals, including images, containers, Dockerfiles, volumes, networking, registries, Docker Compose, security, troubleshooting, and container lifecycle management. Covers the ability to containerize applications, configure reproducible environments, optimize builds, manage persistent data and service communication, diagnose common runtime issues, and apply reliable containerization practices in development and production.

docker

Docker

Learn how to design, build, evaluate, and operate production-ready AI applications. Explore large language models, prompt engineering,
  embeddings, vector databases, RAG, AI agents, model evaluation, observability, security, cost optimization, and reliable deployment
  practices.

AI Engineering