1. Flutter Flutter is Google’s cross-platform UI framework used to build Android, iOS, web, and desktop apps from a single codebase. Interview line: Flutter allows us to build cross-platform apps using Dart. It provides its own rendering engine and widget-based UI system. 2. Dart Dart is the programming language used by Flutter. Important Dart concepts: […]

Jetpack Compose has already changed how Android developers build UI. Instead of XML layouts, view binding, and imperative UI updates, Compose gives us a declarative way to describe the screen using Kotlin. Now, Compose is moving one step further with a newer styling direction: the Style API. This does not mean that Modifier, MaterialTheme, or

Chapter 1 — What is RAG? RAG (Retrieval-Augmented Generation) RAG is an AI architecture where: work together. Instead of relying only on model training data, the AI retrieves real-time context from documents before answering. Basic Flow Why RAG? RAG solves: Chapter 2 — Embeddings What are Embeddings? Embeddings are vector representations of text. Example: These

Modern AI applications are no longer powered by simple keyword matching. Production-grade Retrieval-Augmented Generation (RAG) systems use a combination of: This approach is called: Hybrid Search dramatically improves retrieval quality in AI applications like: In this article, we will build a production-style Hybrid Search system using: Why Pure Vector Search Is Not Enough Vector databases

Retrieval-Augmented Generation, or RAG, has become one of the most practical ways to make AI applications more accurate, domain-aware, and business-ready. Instead of depending only on the LLM’s internal knowledge, RAG connects the model with external data such as documents, PDFs, tickets, policies, medical records, product manuals, or enterprise knowledge bases. The original RAG approach

Most AI tutorials stop at: But real-world AI systems are far more than just calling an LLM API. Over the last few days, I started building a production-style AI backend architecture using FastAPI, AsyncIO, Redis, retries, timeout handling, distributed caching, and token monitoring. The goal was not just to “build an AI chatbot,” but to

What is load balancing? Load balancing distributes incoming network traffic across multiple application servers to ensure no single server bears too much load. It is a foundational pattern for building systems that are highly available, horizontally scalable, and resilient to failure. In a modern .NET microservices architecture, Nginx serves as the entry point — acting

When Python applications scale, memory often becomes the hidden bottleneck. A service that performs flawlessly with thousands of objects can struggle when handling millions. One underused but powerful feature that directly addresses this is __slots__. This article explains what __slots__ is, why it matters, when to use it, and how to apply it in production-quality

Python is dynamically typed, but modern Python (3.8+) supports gradual static typing that enables you to build large, reliable, refactor-friendly systems. One of the most powerful — and underused — tools in this ecosystem is the combination of Protocols + Generics. This article explains what they are, why they matter, and how to use them

In software architecture, controlling object creation is as important as designing object behavior. The Singleton pattern is one of the most widely used creational design patterns for this purpose. It guarantees that a class has exactly one instance and provides a global access point to that instance. While Singleton is straightforward in concept, implementing it