Deep Dive

If you’ve ever built a microservices architecture, you know the pain points all too well: spending hours setting up PostgreSQL locally, wrestling with Redis configurations, debugging why RabbitMQ won’t connect, managing connection strings across multiple services, and let’s not even talk about implementing distributed tracing manually.

.NET Architecture at Scale: Visual Guide to Modern Design Patterns # ⚡ Performance Note: This article contains 16 comprehensive patterns with visual diagrams. For faster loading, consider bookmarking specific sections or using the “Find in Page” (Ctrl+F) feature to jump to relevant patterns.

In the rapidly evolving landscape of artificial intelligence, development teams face significant challenges when integrating multiple AI models into their workflows. The proliferation of different providers, APIs, and pricing models creates complexity that can slow down innovation and increase technical debt. This article explores a powerful solution: a Docker-based setup combining LiteLLM proxy with Open WebUI that streamlines AI development and provides substantial benefits for teams of all sizes.

In today’s fast-paced development landscape, AI coding assistants have become indispensable tools for developers seeking to maintain high-quality code while meeting demanding deadlines. GitHub Copilot stands at the forefront of this revolution, offering intelligent code suggestions that can significantly accelerate development. However, the true power of Copilot lies not just in its base capabilities, but in how effectively it can be customized to align with your specific project standards and best practices.

TL;DR: This guide walks you through building a production-ready RAG system using FastAPI, ChromaDB, MinIO, and OpenAI. Learn document chunking, vector embeddings, hybrid search, and real-world deployment strategies. Introduction # As a .NET developer watching the AI landscape evolve, I found myself both excited and skeptical. When tools like Claude.ai and ChatGPT started offering out-of-the-box RAG solutions, I wanted to build my own system with full control over the implementation.

Stretch Tracker : Advanced Technical Architecture and Implementation # The Birth of the Stretch Tracker: A Developer’s Story # As developers, we often find ourselves deeply immersed in our work, sitting for hours on end in front of our screens without even realizing how much time has passed. I was no different. During a particularly intensive project, I noticed the toll these long coding sessions were taking on my physical health - back pain, stiff neck, and decreased productivity became unwelcome companions in my daily routine.

In today’s fast-moving world of software development, being able to automate tasks and make your workflows smoother is super important. Many .NET developers already know how to make web apps, services, and libraries. But not everyone realizes that you can also use the .NET CLI (Command-Line Interface) to create custom tools that save time, simplify your work, and make repetitive tasks a breeze. These tools can help streamline your daily activities and provide powerful functionality for your team.

Introduction # Large Language Models (LLMs) have become a cornerstone of modern AI applications, from chatbots that provide customer support to content generation tools for images and videos. They power virtual assistants, automated translation systems, and personalized recommendation engines, showcasing their versatility across industries. However, running these models on a local machine has traditionally been a complex and resource-intensive task, requiring significant configuration and technical expertise. This complexity often deters beginners and even intermediate users who are eager to explore the capabilities of LLMs in a private, local environment.

Introduction # In modern software development, projects often consist of multiple repositories working together seamlessly. For instance, microservices architectures rely on modularity, where each service has its own repository. While this independence is beneficial, managing numerous repositories as a single cohesive unit can be daunting. Enter the meta-repository: a powerful tool that simplifies the management of multiple interdependent Git repositories, enabling streamlined workflows without sacrificing modularity.

TL;DR # This article demonstrates how to build a REST API that converts natural language into SQL queries using multiple LLM providers (OpenAI, Azure OpenAI, Claude, and Gemini). The system dynamically selects the appropriate AI service based on configuration, executes the generated SQL against a database, and returns structured results. It includes a complete implementation with a service factory pattern, Docker setup, and example usage.

TL;DR # This article provides a comprehensive guide to efficient file management with Azure Blob Storage using .NET and Angular. We cover four upload strategies:

Introduction # Microsoft Graph API provides a unified endpoint for accessing Microsoft 365 services, including SharePoint. This article demonstrates how to implement create, read, update, and delete (CRUD) operations for files in SharePoint document libraries using Microsoft Graph API and .NET. You’ll learn how to authenticate to Microsoft Graph, navigate SharePoint site structure, and manage files programmatically.