Data Structures: Theoretical Squeeze
Deep dive into dynamic data structures: arrays, linked lists, trees, stacks, queues, and hash tables.
A collection of interconnected thoughts, notes, and explorations. Navigate through the graph or browse the archive below.
Deep dive into dynamic data structures: arrays, linked lists, trees, stacks, queues, and hash tables.
Comprehensive guide to Database internals: Indexing, Normalization, ACID, Transactions, and Optimization strategies.
Deep dive into Caching principles, CPU vs RAM latency, Cache strategies, and Redis internals.
Foundational guide to how the Web works: DNS resolution, HTTP/S protocols, Request/Response anatomy, and Status codes.
Understanding RESTful constraints, API design principles, and Real-time communication with WebSockets.
Authentication mechanisms explained: JWT structure and security best practices, OAuth 2.0 flows, and OpenID Connect.
Deep dive into Client-side storage: Cookies, LocalStorage, SessionStorage, and Server-side Sessions.
Core concepts of Domain-Driven Design: Bounded Contexts, Entities vs Value Objects, Aggregates, and Layered Architecture.
Foundational software design principles: OOP pillars, SOLID rules, DRY, KISS, and TDD explained simply.
Deep dive into microservices architecture patterns, CQRS, Event Sourcing, and stability patterns.
Vertical slicing, Hexagonal Architecture, and Pragmatic Isolation in Laravel.
Rejecting Anemic Models in favor of Rich Entities and Strict Patch Updates.
Responsibilities of Presentation, Application, Domain, and Infrastructure layers.
Centralized error handling using Marker Interfaces and global handlers.
System prompt for generating high-quality Modular Monolith code in Laravel.
System prompt for Next.js 16+, React 19, and Feature-Sliced Design.
Exploring how minimalism in design translates to cleaner, more efficient codebases.