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Full-Stack Engineer Learning Path

A structured 12-week journey through the Knowledge Vault for full-stack engineers. This path gives you depth in both frontend and backend, covering component patterns, Spring Boot, mobile engineering, data visualization, WebAssembly, databases, APIs, caching, authentication, deployment, comparisons, and production operations.

Who This Is For

  • Junior full-stack engineers leveling up to mid/senior
  • Frontend engineers adding backend depth (or vice versa)
  • Engineers who want to own features end-to-end
  • Anyone preparing for full-stack interviews

Prerequisites

  • HTML, CSS, JavaScript fundamentals
  • Basic understanding of HTTP and REST APIs
  • Some experience building a web application (any framework)
  • Familiarity with at least one database (SQL preferred)

Total estimated time: ~60 hours across 12 weeks

Learning Progression


Week 1-2: Frontend Foundations

Estimated reading time: 5 hours


Week 2-3: Component Patterns & Design Systems

Estimated reading time: 5 hours


Week 3-4: Frontend Advanced -- WebAssembly & Performance

Estimated reading time: 4 hours


Week 4-5: Database Fundamentals

Estimated reading time: 5 hours


Week 5-6: Backend & APIs

Estimated reading time: 5 hours


Week 6-7: Spring Boot for Full-Stack

Estimated reading time: 5 hours

Spring Boot adds enterprise-grade backend capabilities. Essential for full-stack engineers in Java ecosystems.


Week 7-8: Authentication & Security

Estimated reading time: 5 hours


Week 8-9: Architecture Patterns

Estimated reading time: 5 hours


Week 9-10: Testing & Mobile Engineering

Estimated reading time: 5 hours

Testing

Mobile Engineering


Week 10-11: Deployment & Infrastructure

Estimated reading time: 5 hours


Week 11: Observability

Estimated reading time: 3 hours


Week 12: Comparisons, Blueprints & Capstone

Estimated reading time: 5 hours

Framework Comparisons

Production Blueprints


What You Will Be Able to Do After This Path

  • Build production UIs with component patterns, accessibility, and performance optimization
  • Implement backends with Spring Boot, REST/GraphQL APIs, and proper security
  • Design database schemas, write optimized queries, and implement caching
  • Build mobile experiences with React Native or Flutter
  • Implement data visualization and WebAssembly for compute-intensive tasks
  • Deploy full-stack applications with CI/CD, Docker, and monitoring
  • Make informed technology decisions using framework comparisons

Total Progress

This path contains approximately 110 pages. At a pace of 5 pages per day, you can complete it in about 3.5 weeks of focused study. This is the broadest path -- use specialized paths to go deeper in your areas of interest.

"What I cannot create, I do not understand." — Richard Feynman