Interview preparation
UNDERSTAND. EXPLAIN. PRACTICE.

Prepare one concept at a time.

Choose a technology, find the gaps, and practice an answer you can defend.

Choose your interview focus

Learn the fundamentals
Languages

JavaScript

Understand scope, functions, objects, and asynchronous execution.

Languages

TypeScript

Use types to model data, narrow values, and build safer interfaces.

Frontend

React

Understand rendering, state ownership, hooks, and performance.

Frontend

Next.js

Connect server rendering, routing, caching, and client boundaries.

Backend

Node.js

Understand the runtime and build reliable HTTP APIs.

Backend

Express

Trace middleware and handle failures across the request lifecycle.

Backend

NestJS

Learn dependency injection, validation, and application structure.

Databases

MongoDB & Mongoose

Model documents and reason about indexes, queries, and consistency.

Databases

SQL & PostgreSQL

Work through joins, transactions, query plans, and relational correctness.

Architecture

System design

Learn architecture trade-offs before tackling design scenarios.

Production

Security & performance

Protect application boundaries and investigate production failures.

Production

Testing

Choose useful tests and understand mocks, fixtures, and coverage.

Production

Git

Build confidence with branching, history, and recovery.

Production

Docker

Understand containers, images, networking, and safer builds.

Production

Delivery & cloud

Connect pipelines, cloud fundamentals, and deployment troubleshooting.

Engineering

Code review

Review unfamiliar code for correctness, security, and reliability.

AI Engineering

AI Engineering

Build from LLM fundamentals to RAG, LangGraph agents, secure workflows, and production AI systems.

Problem solving

Data Structures & Algorithms

Learn the patterns behind interview problems, then implement them in JavaScript, Java, C#/.NET, or Python.

Architecture

Deterministic AI Workflows

Separate language understanding from business control to build reliable, auditable, and testable AI-assisted workflows.

AI Engineering

MCP Server with TypeScript

Learn MCP from protocol fundamentals to secure TypeScript servers, production deployment, portfolio projects, and interviews.

BEYOND THE TECHNICAL ANSWER

Prepare your engineering stories.

Use your real experience to explain ownership, decisions, and failures.

Explore production & mock prep