Learn how to design object-oriented systems that are maintainable, flexible, and scalable. Master CRC cards, GRASP patterns, coupling and cohesion, responsibility-driven design, and practical design heuristics with examples in TypeScript, Python, and Java.
Deploy your Dockerized Next.js blog to an Ubuntu VPS on Hostinger. Set up SSH keys, install Docker, configure Nginx as a reverse proxy, get free SSL with Let's Encrypt, and automate zero-downtime re-deploys.
A personal reflection on my VNG fresher program in 2012 — the 6 months that taught me more real-world engineering than 4 years of university. From Windows to Linux, C# to Java, SQL Server to Redis.
The developers who never get replaced share specific habits: they do excellent work, love fundamentals, wire learning to their jobs, seek challenges, and intentionally improve over time.
Understand the core differences between processes and threads, how they use memory, communicate, and when to use each. Includes real examples in Python, Go, and Java with diagrams.
In an AI-accelerated industry, specializing only in frontend or backend work is risky. Here's why embracing full-stack skills is the safest bet for long-term career growth.
Learn how to use VS Code Remote-SSH to develop on remote servers with full local IDE experience. Covers setup, configuration, tips, and common workflows for seamless remote development.
Bridge React and full-stack development with Next.js 15: file-based routing, Server vs Client Components, SSR/SSG/ISR, Route Handlers as API endpoints, layouts, metadata, and environment config.
Complete learning path for mastering Spring Boot development. Step-by-step roadmap covering fundamentals, database integration, security, testing, and deployment. Perfect guide for beginners and intermediate developers.
Explore the modern developer ecosystem: Vercel for deployment, Supabase for backend, plus Clerk, Drizzle, Upstash, Resend, Stripe, and more. Learn when to use this stack vs traditional cloud.
A comprehensive guide to layered (N-tier) architecture: presentation, business logic, and data access layers, strict vs relaxed layering, dependency direction, common mistakes, and when layered architecture breaks down.
A step-by-step workflow for using AI coding assistants effectively — from understanding a ticket with Rovo to reviewing changes before committing with Claude.
Every era of software engineering is really about one thing: building higher abstractions to hide complexity and let developers focus on solutions, not machines. Here's the full arc from machine code to AI.
Real senior Python interview questions from a top outsourcing company in Vietnam — covering data structures, memory management, async concurrency, database optimization, and code quality.
Most developers struggle not because they lack technical skill, but because they can't communicate clearly upward. Here's a practical framework for talking to your manager with precision and confidence.
A practical breakdown of memory types in AI coding tools — what survives between sessions, what gets wiped, and how to build persistent AI teammates that actually know your codebase.