# Databases

102 posts tagged Databases. See all posts

🧠 Artificial Intelligence (AI) · 📋 Cheat Sheets · ❓ Common Interview Questions · 💻 Programming

18 Entity Framework Core Mistakes Slowing Down Your Application

EF Core makes the slow path look exactly like the fast path. A scan, an N+1 loop, and a Cartesian join all read like clean LINQ. This guide walks through 18 concrete mistakes across querying, related data, change tracking, indexes, plan caching, and context overhead, with the fix for each and a ready-to-use rule for your AI coding assistant.

🧠 Artificial Intelligence (AI) · 📋 Cheat Sheets · ❓ Common Interview Questions · 📈 Management · 💻 Programming · 🧪 Testing · 👷‍♀️ Software Architecture

.NET Interview Questions and Answers: 800+ Questions for Beginners, Seniors & Architects

Prepare for your next .NET interview with 800+ interview questions and answers covering C#, ASP.NET Core, SQL, NoSQL, microservices, distributed systems, testing, AI, Agile, desktop and mobile development. For developers, senior engineers, architects and tech leads.

🧠 Artificial Intelligence (AI) · 📋 Cheat Sheets · ❓ Common Interview Questions · 💻 Programming · 👷‍♀️ Software Architecture

AI-Related .NET Interview Questions and Answers (2026): LLMs, RAG, Agents, Claude Code, Cursor, Copilot and MCP

In this article, we review AI, LLM, prompting, .NET AI integration, Semantic Kernel, Microsoft Agent Framework, MCP, RAG, resilience, testing, observability, security, and AI coding tools for .NET engineers.

🧠 Artificial Intelligence (AI) · 📋 Cheat Sheets · ❓ Common Interview Questions · 💻 Programming · 👷‍♀️ Software Architecture

How Modern LLMs Are Actually Trained: SFT, RLHF, DPO, Instruction Tuning, and Distillation

Learn how modern LLMs are trained, from pretraining and instruction tuning to SFT, RLHF, DPO, and model distillation. This guide explains how raw foundation models become production-ready AI assistants, coding copilots, and enterprise agents.

🧠 Artificial Intelligence (AI) · 💻 Programming · 📖 Weekend Reading · 👷‍♀️ Software Architecture

Weekend Reading #78

This week: a comprehensive .NET desktop development interview guide covering WinUI 3, MAUI, and Avalonia. Lyft goes beyond A/B testing, using surrogates and region splits to measure long-term marketplace effects. Airbnb shares how COVID broke their forecasting models and the Bayesian architecture they built to survive the next shock. And Meta reveals the ML behind Friend Bubbles, blending social closeness models with content signals to power social discovery on Facebook Reels.

❓ Common Interview Questions · 💻 Programming · 👷‍♀️ Software Architecture

C# Desktop Development Interview Questions and Answers (2026) – WinUI 3, .NET MAUI, Avalonia UI, Performance & Arhitecture

This part of C# / .NET interview questions and answers covering modern desktop development: WinUI 3, .NET MAUI, Avalonia UI, MVVM architecture with CommunityToolkit, performance optimization, data storage with EF Core and SQLite, secure credentials, background sync, MSIX packaging, and auto-update strategies. 

🧠 Artificial Intelligence (AI) · 💻 Programming · 📖 Weekend Reading · 👷‍♀️ Software Architecture

Weekend Reading #77

This week: a comprehensive .NET testing guide covering everything from unit test fundamentals to gRPC contract testing. Netflix introduces MediaFM, their first tri-modal foundation model for deep content understanding. LinkedIn reveals how LLM embeddings and Generative Recommender models are powering the next generation of feed ranking for 1.3 billion users. And Pinterest walks through building a full MCP ecosystem — from registry and security to 66K monthly invocations, saving thousands of engineering hours.

🧠 Artificial Intelligence (AI) · 💻 Programming · 📖 Weekend Reading · 👷‍♀️ Software Architecture

Weekend Reading #76

This week: Uber shows how AI agents can automate design system documentation via MCP and how real-time batching solves hot-key payment bottlenecks at scale. Airbnb shares a transformer-based model for recommending travel destinations to exploratory users. And Pinterest details how unified context-intent embeddings power their Analytics Agent — now the most widely adopted internal agent at the company.