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• Delete Rows from an Excel Template Using Office Scripts and Power AutomateJul 02, 2026. Streamline Excel data management in Power Automate. Learn to use Office Scripts to efficiently delete rows, clear filters, and prepare templates for fresh data.
• Building Browser-Based AI Applications Using WebGPU and JavaScriptJul 03, 2026. Unlock browser-based AI with WebGPU & JavaScript. Run ML models locally for faster, private, and cost-effective applications.
• Building AI Applications Using Model Context Protocol (MCP) ProxiesJul 03, 2026. Learn how Model Context Protocol (MCP) proxies standardize AI application communication with external tools, enabling scalable and secure integrations.
• Building a Search Platform Using OpenSearch and .NETJul 03, 2026. Build powerful search platforms with OpenSearch and .NET. Learn about its architecture, indexing, querying, and advanced features for scalable, relevant search.
• Feature Store Architecture for Machine Learning ApplicationsJul 03, 2026. Master feature store architecture for ML. Centralize, manage, and serve features for consistent training & real-time inference.
• Building AI Features in ASP.NET Core Using Small Language Models Instead of Large LLMsJul 02, 2026. Build AI features in ASP.NET Core with Small Language Models (SLMs) for lower costs, faster responses, and better privacy than LLMs.
• How to Convert Text into Currency ($) Format in Power AppsJul 01, 2026. Learn to format numbers as currency in Power Apps using the Text() function for professional and readable financial data display.
• Building a Developer Copilot for Internal Documentation Using Semantic KernelJun 30, 2026. Build an AI-powered Developer Copilot for internal docs using Semantic Kernel & .NET. Enhance knowledge discovery & productivity.
• How to Build a Multi-Model AI Strategy in .NET Using Azure OpenAI, Ollama, and Foundry LocalJun 30, 2026. Build flexible .NET AI apps with Azure OpenAI, Ollama, and Foundry Local. Optimize for performance, privacy, and cost with a multi-model strategy.
• Implementing Local LLM Inference in .NET Applications Using ONNX RuntimeJun 30, 2026. Unlock local LLM inference in .NET with ONNX Runtime for faster, private, and cost-effective AI applications. Learn integration & best practices.
• Building Intelligent Code Ownership Discovery Systems Using AIJun 29, 2026. Build intelligent code ownership discovery systems using AI, .NET, and GitHub APIs for faster incident resolution and improved collaboration.
• Building AI-Driven Feature Flag Optimization Systems in ASP.NET CoreJun 29, 2026. Build AI-driven feature flag optimization in ASP.NET Core using Azure services for smarter, data-driven releases and enhanced performance.
• Stop Using LookUp() in Patch() When You Already Have the RecordJun 29, 2026. Optimize Power Apps Patch() by avoiding LookUp() when you have the record or ID. Boost performance & simplify code!
• Production-Ready AI Safety Filters for Enterprise Applications Using .NETJun 29, 2026. Build production-ready AI safety filters for enterprise .NET apps using Azure OpenAI. Secure LLMs, prevent risks, and ensure compliance.
• What Playwright Does for Vibe Coders and How to Use It EffectivelyJun 26, 2026. Learn what Playwright does for vibe coders and how to use it to test AI-written code, catch bugs, reduce guesswork, and build safer web apps
• Loading Files into an Existing Fabric Lakehouse Table Using the Graphical User Interface (GUI)Jun 26, 2026. In this article, you will learn how to load files to Fabric Lakehouse tables using existing table append behaviour of the graphical user interface
• Count Matching Subsequences Using Dynamic Programming in JavaJun 26, 2026. Learn how to solve the Count Matching Subsequences problem using Dynamic Programming in Java with an O(n × m) approach, explanation, examples, and code.
• Designing AI-Powered Feature Rollout Strategies with Azure App ConfigurationJun 26, 2026. Leverage Azure App Configuration and AI for intelligent, risk-free feature rollouts. Enhance safety, speed, and user experience with automated strategies.
• AI-Powered Database Schema Evolution Using Entity Framework CoreJun 26, 2026. Enhance database schema evolution with Entity Framework Core and AI. Reduce risks, improve performance, and automate documentation for safer migrations.
• AI-Driven Configuration Drift Detection for Cloud-Native .NET ApplicationsJun 26, 2026. Leverage AI for cloud-native .NET apps to detect configuration drift, prevent outages, enhance security, and ensure consistency across environments.
• Building AI-Powered Release Notes from Git History Using .NETJun 26, 2026. Automate release notes with .NET and AI from Git history. Streamline documentation, improve consistency, and save developer time.
• Intelligent Database Index Optimization Using AI and SQL ServerJun 26, 2026. Leverage AI and SQL Server DMVs with .NET to build intelligent index optimization, boosting performance and reducing manual tuning.
• AI-Powered Feature Usage Analytics for SaaS Applications Using .NETJun 26, 2026. Leverage .NET and AI for advanced SaaS feature usage analytics. Gain actionable insights, boost adoption, and drive product success.
• Production-Ready AI Guarded Deployments Using GitHub Actions and .NETJun 26, 2026. Enhance production deployments with AI-guarded pipelines using GitHub Actions and .NET for smarter, safer, and more reliable releases.
• How to Use Entity Tag (ETag) in Power AppsJun 25, 2026. Master ETag in Power Apps for data consistency, preventing conflicts, and optimizing API calls. Essential for reliable data management.
• How to Modernize Legacy .NET Applications Using AI-Powered Code AnalysisJun 25, 2026. Modernize legacy .NET apps faster with AI code analysis. Understand, refactor, and secure your codebase efficiently.
• AI-Powered Codebase Modernization Using GitHub Copilot AgentsJun 25, 2026. Accelerate .NET codebase modernization with GitHub Copilot Agents. Analyze, refactor, and test legacy code efficiently.
• Building Enterprise AI Decision Audit Systems Using .NETJun 24, 2026. Build enterprise AI decision audit systems with .NET. Ensure transparency, accountability, and compliance for AI-driven decisions.
• Why You Should Use User().EntraObjectID Instead of User().Email in Power AppsJun 24, 2026. Learn why User().EntraObjectID is superior to User().Email in Power Apps for reliable user profile retrieval. Avoid issues with email changes and UPN mismatches.
• Building a Production-Grade Object Storage Migration Tool Using Node.js and AWS S3Jun 23, 2026. Build a production-grade object storage migration tool with Node.js and AWS S3, covering architecture, challenges, and best practices for scalability.
• Modern Fintech Development Using .NET Core MicroservicesJun 22, 2026. Leverage .NET Core microservices for scalable, resilient, and secure fintech development. Master API gateways, Kubernetes, EDA, and IAM for modern financial platforms.
• Building AI-Powered Internal Compliance Advisors Using BlazorJun 23, 2026. Build AI-powered internal compliance advisors with Blazor for real-time policy guidance, reducing risk and boosting productivity.
• Designing AI-Native Workflow Engines Using .NET AspireJun 23, 2026. Design AI-native workflow engines with .NET Aspire for adaptive, scalable, and observable distributed applications. Integrate AI, services, and data.
• Navigating Vector Store Trade-offs and Building Agentic Workflows with LangGraphJun 21, 2026. Explore vector store trade-offs (Pinecone, Chroma, Milvus, pgvector) and build secure, agentic RAG workflows with LangGraph for enterprise.
• Building AI-Powered Runbooks for Production Operations Using .NETJun 22, 2026. Build AI-powered runbooks with .NET to modernize production operations, reducing downtime and improving incident response efficiency.
• Building AI-Powered Engineering Standards Assistants Using BlazorJun 22, 2026. Build AI-powered engineering standards assistants with Blazor & ASP.NET Core for instant guidance, improved productivity, and consistent application of guidelines.
• Citation Grounding for Compliance-Heavy Industries using LangGraphJun 21, 2026. Build a citation-grounded RAG system with LangGraph for compliance-heavy industries, ensuring AI traceability and trust.
• Detecting Context Poisoning and Irrelevant Injection using LangGraphJun 21, 2026. Secure your RAG pipelines against Context Poisoning and Irrelevant Injection. Learn to build resilient AI with LangGraph for enterprise-grade security.
• 📖 Mastering .NET Interviews – Part 8: Azure & Cloud IntegrationJun 20, 2026. Master .NET interviews: Dive into Azure & Cloud Integration, covering App Services, Functions, Cosmos DB, and deployment best practices.
• Measuring Retrieval vs. Generation Quality Independently using LangGraphJun 20, 2026. Master RAG evaluation by decoupling retrieval & generation with LangGraph. Pinpoint bottlenecks for production-grade AI.
• Fixing DevOps RAG Failures Using LangGraph ReflectionJun 20, 2026. Fix DevOps RAG failures with LangGraph reflection. Solve generation bottlenecks by enabling LLMs to self-correct for accurate, concise answers.
• Stop Using Mega-Prompts: Build a Multi-Agent Hospital for Your AI Using LangGraphJun 19, 2026. Build a multi-agent hospital for AI using LangGraph to process complex tasks efficiently, avoiding mega-prompt overload and hallucinations.
• Self-Correcting AI Agents Using Reflection Patterns in LangGraphJun 18, 2026. Build self-correcting AI agents with LangGraph's Reflection Pattern for robust, mission-critical applications like fintech.
• AI Context Lifecycle Management: Storing, Updating, and Retiring ContextJun 19, 2026. Master AI Context Lifecycle Management: Store, update, and retire context effectively for better AI responses and reduced costs.
• Building a Vehicle Rental Management System in C# Using Entity Framework CoreJun 18, 2026. Build a Vehicle Rental Management System in C# Console App with EF Core, Repository Pattern, Session Management, and Email Integration.
• Building AI-Powered Customer Feedback Analysis Systems Using .NETJun 19, 2026. Unlock actionable insights from customer feedback with AI-powered .NET systems. Enhance products, boost satisfaction, and drive growth.
• Reducing Hallucinations in Agent-Based Systems Using LangGraph: An E-Commerce Order BookingJun 19, 2026. Combat LLM hallucinations in e-commerce with LangGraph. Learn techniques like grounded retrieval, schema enforcement, and self-correction for reliable order booking.
• Handle Agent Memory, Checkpointing, and Recovery in Multi-Agent Workflows Using LangGraphJun 18, 2026. Master LangGraph for resilient AI: Learn state management, checkpointing, and recovery for robust multi-agent workflows.
• Implementing AI-Powered Data Classification Systems Using .NETJun 18, 2026. Implement AI-powered data classification in .NET for enhanced security, compliance, and efficiency. Automate categorization of sensitive information.
• Building AI-Powered Release Validation Systems Using ASP.NET CoreJun 17, 2026. Build AI-powered release validation systems with ASP.NET Core for smarter, safer, and more reliable software deployments.
• How to Build Developer Productivity Dashboards Using AI AnalyticsJun 17, 2026. Unlock developer productivity with AI analytics dashboards. Gain insights, identify bottlenecks, and predict risks for better software delivery.
• Maximum Product Cutting of a Rope Using a Greedy Mathematical ApproachJun 17, 2026. Maximize rope cut product! Discover the optimal strategy of cutting into 3s and a Java solution with O(log n) complexity.
• AI-Powered Knowledge Extraction from Enterprise Documents Using .NETJun 17, 2026. Unlock enterprise document insights with .NET and AI. Automate knowledge extraction, improve search, and boost efficiency.
• Context Window Limits in LangGraph with Real time Use CaseJun 17, 2026. Master LangGraph context window limits with memory management strategies like trimming and summarization for real-time AI agents.
• Using Small Language Models (SLMs) in Enterprise .NET ApplicationsJun 16, 2026. Unlock enterprise efficiency with Small Language Models (.NET). Discover SLMs for faster, cost-effective AI solutions, enhanced privacy, and flexible deployment.
• Construct List Using XOR Queries – Efficient Reverse Processing ApproachJun 16, 2026. Efficiently construct a list using XOR queries by processing in reverse. Avoids costly array updates with bit manipulation.
• How to Build an Internal Knowledge Assistant Using Azure AI Search and BlazorJun 16, 2026. Build an internal knowledge assistant with Azure AI Search & Blazor for efficient, AI-powered information retrieval and conversational access.
• Assigning Microsoft Graph API Application Permissions to a Managed Identity Using Azure CLIJun 15, 2026. Securely assign Microsoft Graph API application permissions to Azure Managed Identities using Azure CLI. Learn to retrieve App Role IDs and understand required Entra roles.
• AI Application Deployment Patterns for Kubernetes and Azure Container AppsJun 16, 2026. Deploying AI applications on Kubernetes and Azure Container Apps requires understanding unique patterns like API Gateways and RAG. This guide explores deployment strategies, compares platforms, and offers best practices for scalable, secure, and observable AI solutions, balancing complexity with efficiency for .NET developers.
• Using GraphRAG with Azure AI Search and .NET ApplicationsJun 15, 2026. Unlock enterprise AI with GraphRAG, Azure AI Search, and .NET. Enhance LLMs with knowledge graphs for deeper context and reasoning.
• Context Window Optimization Techniques for Large-Scale AI ApplicationsJun 15, 2026. Optimize LLM context windows for scalable AI apps. Reduce costs, latency, and improve response quality with smart retrieval & summarization.
• How to Build AI-Powered Data Analysts Using Semantic Kernel and .NETJun 15, 2026. Build AI-powered data analysts with Semantic Kernel and .NET. Understand natural language, query data, and generate actionable business insights.
• Using Azure AI Search Hybrid Retrieval for Better RAG PerformanceJun 15, 2026. Boost RAG performance with Azure AI Search Hybrid Retrieval. Combine keyword & vector search for better relevance, accuracy, and fewer hallucinations.
• How to Build Private Enterprise ChatGPT Solutions Using .NETJun 15, 2026. Build secure, private Enterprise ChatGPT solutions with .NET, Azure OpenAI, Semantic Kernel, and Azure AI Search for internal knowledge access.
• Complete Practical Guide to Design, Build, Test, and Maintain End to End Solutions in Microsoft AzureJun 15, 2026. Complete Practical Guide to Design, Build, Test, and Maintain End to End Solutions in Microsoft Azure
• How to Build AI-Powered Data Analyst Using Semantic Kernel and .NETJun 15, 2026. Build an AI-powered data analyst with Semantic Kernel and .NET. Transform business data into actionable insights using natural language.
• Building AI-Powered Release Notes Generators Using ASP.NET CoreJun 15, 2026. Automate software release notes with ASP.NET Core, Azure OpenAI, and Semantic Kernel. Streamline documentation and improve communication.
• Kiro as AI Partner for MS SQL Server Optimization on .NET Core: What Used to Take Days Now Takes HoursJun 14, 2026. Kiro optimizes MS SQL Server for .NET Core by analyzing code & queries, transforming days of work into hours. Learn how AI partners with developers.
• How to Build Internal AI Developer Tools Using ASP.NET Core and BlazorJun 12, 2026. Build internal AI developer tools with ASP.NET Core & Blazor. Enhance productivity, access secure company knowledge, and streamline workflows.
• 5 Sneaky .NET & EF Core Bugs That Will Crash Your AppJun 11, 2026. Discover 5 hidden .NET & EF Core bugs causing app crashes, from concurrency issues to silent query filters. Learn how to fix them!
• From Blind Spots to Full Observability: Mastering Structured Logging in ASP.NET CoreJun 11, 2026. Master structured logging in ASP.NET Core for full observability. Transform your app from a black box to a transparent, debuggable system.
• AI-Powered Release Management: Using Intelligence to Improve Software DeliveryJun 12, 2026. Unlock faster, more reliable software delivery with AI-powered release management. Reduce risk, boost confidence, and optimize your CI/CD.
• Is Your Legacy .NET Application Ready for AI? An Assessment FrameworkJun 12, 2026. Assess legacy .NET apps for AI readiness. A framework covers data, architecture, infra, security, and operations for successful integration.
• Building AI-Powered Apps with Claude and ASP.NET CoreJun 11, 2026. Integrate Claude AI into ASP.NET Core with C# to build intelligent apps. Learn API setup, service creation, and REST endpoint exposure.
• Building Production-Ready Local AI Solutions with Windows AI FoundryJun 12, 2026. Unlock production-ready local AI on Windows with Windows AI Foundry. Enhance privacy, reduce costs, and boost performance.
• WSL Containers Explained: A New Alternative to Docker Desktop for Windows DevelopersJun 11, 2026. WSL Containers offer Windows developers a faster, more efficient alternative to Docker Desktop for running Linux containers locally.
• Developer Environment as Code: Automating Workstation Setup with WinGet Configuration FilesJun 11, 2026. Automate Windows workstation setup with WinGet Configuration Files. Achieve consistent, repeatable developer environments for faster onboarding and reduced drift.
• Windows Coreutils for Developers: Bringing Linux Commands Natively to WindowsJun 11, 2026. Windows Coreutils brings Linux commands like ls, cat, and grep natively to Windows, boosting developer productivity and cross-platform consistency.
• Overcoming Context Window Saturation in Multi-Hundred-Page FMCG DocumentsJun 11, 2026. Overcome LLM context window saturation for FMCG documents with RAG, FastAPI, React, and Gemini 1.5 Flash.
• Intelligent Terminal in Windows: How AI-Powered Command Lines Improve Developer ProductivityJun 11, 2026. AI-powered intelligent terminals boost Windows developer productivity by simplifying command discovery, error resolution, and script generation.
• Local-First AI Development: Running Enterprise Models on Windows PCsJun 11, 2026. Explore Local-First AI Development: run enterprise models on Windows PCs for enhanced privacy, reduced costs, and lower latency.
• AI-Driven Vulnerability Remediation: Using Coding Agents to Fix Security IssuesJun 11, 2026. AI coding agents revolutionize vulnerability remediation, automating fixes, reducing developer workload, and enhancing security posture.
• Intelligent API Rate Limiting Using AI-Based Traffic AnalysisJun 10, 2026. Intelligent API rate limiting uses AI to analyze traffic, adapt to patterns, and enhance security beyond traditional methods.
• Designing Self-Service Developer Platforms Using Backstage and .NETJun 10, 2026. Design powerful self-service developer platforms with Backstage and .NET. Streamline workflows, boost productivity, and accelerate software delivery.
• Local AI Inference in .NET: Running Models on Windows Without Cloud APIsJun 10, 2026. Run AI models locally on Windows with .NET. Explore ONNX Runtime, Ollama, and hardware acceleration for private, fast, and cost-effective AI.
• Schema-Driven AI Applications: Using Structured Data for Better LLM ResponsesJun 10, 2026. Unlock reliable AI with schema-driven applications. Use structured data for predictable LLM responses, easier integration, and robust automation.
• Maximum Visible People in a Line Using Monotonic StackJun 09, 2026. Find the maximum number of people visible in a line. This problem is solved efficiently using a monotonic stack to find previous and next greater elements.
• Securing .net 9 Application Using JWt Refresh Token signup , login Jun 08, 2026. Secure .NET 9 apps with JWT refresh tokens. Implement secure signup, login, and resource protection using best practices.
• Secure Secrets Management in .NET Applications Using Azure Key VaultJun 09, 2026. Securely manage .NET application secrets with Azure Key Vault. Learn integration, best practices, and why it's crucial for cloud-native security.
• Implementing AI Memory Systems in C# Using Vector DatabasesJun 08, 2026. Learn how to implement AI memory systems in C# using vector databases. Discover embeddings, semantic search, memory architectures, and best practices for building intelligent AI applications.
• Count Valid Parentheses Expressions Using Catalan NumbersJun 08, 2026. Given a length n, count the number of valid parentheses expressions that can be formed. The solution is based on the Catalan Number formula, where the number of valid expressions with n/2 pairs of parentheses equals the (n/2)-th Catalan number. This yields an O(n) time and O(1) space solution.
• Implementing Long-Term Memory in Enterprise AI Agents Using C#Jun 08, 2026. Learn how to implement long-term memory in enterprise AI agents using C#, vector databases, embeddings, and memory retrieval patterns to build intelligent and personalized AI solutions.
• Context Engineering for AI Applications: Beyond Prompt EngineeringJun 08, 2026. Learn how context engineering goes beyond prompt engineering by optimizing retrieval, memory, tool outputs, and information pipelines for enterprise AI applications in .NET.
• How MCP Apps Are Changing AI Tool Integration WorkflowsJun 08, 2026. Learn how MCP Apps are transforming AI tool integration workflows by providing standardized access to APIs, databases, business systems, and enterprise resources through the Model Context Protocol.
• Find the Kth Smallest Element in a Sorted Matrix Using Binary Search on AnswerJun 08, 2026. A matrix search problem solved efficiently using binary search on value range and counting elements less than or equal to mid in O(n) time per step.
• Building a Natural Language API Gateway Using ASP.NET Core and AIJun 08, 2026. Learn how to build a Natural Language API Gateway using ASP.NET Core and AI. Discover intent detection, API orchestration, structured outputs, security controls, and enterprise implementation patterns.
• Find the Kth Missing Positive Number Using Binary SearchJun 06, 2026. This article explains how to efficiently find the kth missing positive number in a sorted array. Using the insight that the number of missing numbers before an index i is arr[i] - (i+1), the problem can be solved with binary search, reducing time complexity from O(n + k) to O(log n). The article includes step-by-step examples and a clear Java implementation.
• Count Elements in a Given Range Using Sorting and Binary SearchJun 06, 2026. This problem involves finding the number of elements in an unsorted array that lie within a given range [a, b] for multiple queries. A naive approach would check each element for every query, resulting in high time complexity. A more efficient solution uses sorting and binary search: Sort the array to enable fast searching. For each query [a, b]: Use a lower bound search to find the first element = a. Use an upper bound search to find the first element > b. The difference between these indices gives the count of elements in the range. This approach significantly reduces time complexity to O(n log n + q log n) while keeping space usage minimal. It’s a classic example of combining sorting with binary search to handle range-based queries efficiently.
• Count Elements Within a Range Using Sorting and Binary SearchJun 06, 2026. Learn how to efficiently count array elements within given ranges using sorting and binary search. Includes intuition, lower bound and upper bound concepts, complexity analysis, and Java solution.
• Distributed Caching in ASP.NET Core Using Redis: Best PracticesJun 05, 2026. Learn how to implement distributed caching in ASP.NET Core using Redis. Explore caching strategies, Redis integration, and best practices for scalable applications.