Personal engineering workspace

A quieter place to master engineering.

Structured paths, animated concepts, honest interview prep. Every topic taught across six layers — from why to production usage. Nothing skipped, nothing exercised-for-the-reader.

Browse paths
8 paths·6-layer method·Animated visualisations·Feynman check-ins
Learning paths

Pick a track. Go deep.

Eight structured tracks. Each topic passes through six teaching layers before it is marked complete.

Java

Core Java → OOP → Collections → Streams → Concurrency → JVM.

L 1–5120 topics

Data Structures & Algorithms

Arrays → Trees → Graphs → DP → Greedy → Backtracking.

L 1–595 topics

Spring Boot

Spring Core → REST → JPA → Security → Kafka → Observability.

L 2–580 topics

React

Hooks → State → Performance → Patterns → Next.js → RxJS.

L 1–570 topics

System Design

Scalability → CAP → Caching → Sharding → Queues → Case studies.

L 3–550 topics

Software Architecture

Layered, Hexagonal, Event-driven, DDD, CQRS, Saga patterns.

L 2–545 topics

LeetCode Patterns

Twenty universal patterns: two pointers, sliding window, BFS/DFS…

L 2–540 topics

Microservices

Spring Cloud, Resilience4j, Kafka, service discovery, K8s.

L 2–528 topics
The method

Six layers, in order.

Every single topic is taught the same way. No shortcuts, no “exercise for the reader”.

  1. 01Why

    What problem does this concept solve, and why does it exist at all?

  2. 02Theory

    The full conceptual model, with analogies grounded in real systems.

  3. 03Visual

    Animated, step-by-step visualisations for algorithms and data flow.

  4. 04Code

    Runnable code with inline commentary, from beginner to expert.

  5. 05Real world

    How the concept shows up in production systems you actually use.

  6. 06Interview

    Conceptual, coding and edge-case questions — with honest answers.

Features

What's inside.

Animated visualisers

Step-by-step animations for algorithms, data flow and JVM internals, wired to the code you are reading.

Grounded AI mentor

Answers doubts, debugs code and runs Feynman check-ins — always cited against your current topic.

In-browser code lab

Monaco Editor with a persistent scratch area. Run Java, Python, TypeScript, Kotlin — no setup.

Six-layer coverage

Why → Theory → Visual → Code → Real world → Interview. Progress locks until each layer is done.

Honest interview prep

Real interview questions, edge cases, and follow-ups — with the answers a senior engineer would give.

Spaced review

Topics you complete return on a spaced schedule so nothing quietly rots out of memory.

Continue where you left off.

Your progress, streak, and next topics live in the workspace.

DevMastery