Resources   No resource found

• How to Use Concurrency in Power AutomateAug 21, 2026. Learn how to use Concurrency Control in Power Automate to process multiple flow runs and Apply to each iterations simultaneously, improve performance, avoid race conditions, and choose the right concurrency level.
• Microsoft.Extensions.AI Routing: Measuring Wrong-Model Selection CostsAug 21, 2026. Learn how incorrect AI model routing affects cost, latency, response quality, and reliability using Microsoft.Extensions.AI routing capabilities and practical benchmarks.
• Create a Error Handling Framework in Power Automate with Real-Time Error NotificationsAug 21, 2026. Learn how to build a reusable error-handling framework in Microsoft Power Automate using Try-Catch scopes, Configure Run After, error extraction, Run ID tracking, failed action identification, and automated HTML email notifications. This step-by-step example demonstrates how to intentionally create a SharePoint failure and capture meaningful error details for troubleshooting production flows.
• Benchmarking Semantic Routing vs Failover Routing in microsoft.Extensions.AIAug 21, 2026. Benchmark semantic routing and failover routing in Microsoft.Extensions.AI to compare model selection, reliability, latency, cost, and AI workload performance.
• GitHub Copilot Cloud Agent: Measuring Reasoning Level vs Development CostAug 21, 2026. Explore how GitHub Copilot Cloud Agent reasoning levels affect code quality, latency, token usage, and development costs with practical benchmarking strategies.
• GitHub Copilot Model Migration: Preparing for September DeprecationsAug 21, 2026. Prepare for September 2026 GitHub Copilot model deprecations by identifying affected models, testing replacements, updating workflows, and avoiding development disruptions.
• GitHub Copilot Model Deprecations: Testing Replacement Models Before SeptemberAug 21, 2026. Learn how to test GitHub Copilot replacement models before September 2026 deprecations using repeatable benchmarks for quality, compatibility, latency, and cost.
• How to Start SharePoint Framework (SPFx) Web Part DevelopmentAug 20, 2026. Learn how to set up a complete SharePoint Framework (SPFx) development environment on Windows using Node.js, Yeoman, React, TypeScript, VS Code, and build your first SharePoint Web Part.
• Okta MCP: Revolutionizing AI Agent Token Economics in Enterprise FinanceAug 19, 2026. Learn how to build an enterprise financial audit system using Okta, MCP-style context optimization, LangGraph, RAG, and persistent memory to reduce token usage and improve security, compliance, and auditability.
• React JS Intermediate Interview QuestionsAug 19, 2026. React JS Intermediate Interview Questions, crack intermediate level of certifications, challenges, or interviews of React JS, top interview questions React JS, top interview questions React, React
• Extract Text from a Word Document in Power Automate Using Only the SharePoint ConnectorAug 19, 2026. Learn how to extract actual text content from a Microsoft Word (.docx) document in Power Automate using only the SharePoint connector and built-in expressions. This guide explains how to extract the DOCX package, access word/document.xml, use XPath to retrieve paragraph text, and convert the result into clean plain text without premium or third-party connectors.
• How to Integrate RAG with TensorFlow for AI-Powered Credit Risk PredictionAug 19, 2026. Most developers treat Retrieval-Augmented Generation (RAG) as a "lookup" tool for Large Language Models (LLMs). You ask a question, it fetches a document, and the LLM summarizes it. This is a QA (Question-Answering) Workflow.
• How to Migrate SharePoint Lists Between Sites/Tenants in Minutes Using a Free Chrome ExtensionAug 19, 2026. Learn how to migrate SharePoint lists between sites using a Chrome extension, including list schemas, columns, views, content, validation, same-tenant and cross-tenant migration considerations.
• AI Coding Agent Cache Efficiency: Measuring Context Compaction and Model SwitchingAug 19, 2026. Measure AI coding agent cache efficiency by analyzing context compaction, model switching, cache reuse, latency, token usage, and performance across agent workloads.
• Microsoft.Extensions.AI Routing: Benchmarking Cost, Latency, and FailoverAug 19, 2026. Benchmark Microsoft.Extensions.AI routing for model selection, measuring cost, latency, failover behavior, reliability, and performance across multiple AI providers and models.
• Benchmarking Semantic Routing vs Static Model Selection in .NETAug 19, 2026. Compare semantic AI routing with static model selection in .NET by benchmarking latency, cost, routing accuracy, complexity, and overall application performance.
• Benchmarking AI Model Routing with Microsoft.Extensions.AIAug 18, 2026. Benchmark AI model routing with Microsoft.Extensions.AI by comparing model selection strategies across latency, cost, token usage, response quality, throughput, and routing overhead in .NET applications.
• Designing Cost-Aware Multi-Model Routing for Enterprise AI APIsAug 18, 2026. Learn how to design cost-aware multi-model routing for enterprise AI APIs using model quality, latency, token costs, availability, fallback policies, and workload-specific routing strategies.
• Designing AI Fallback Chains for Provider and Model FailuresAug 18, 2026. Design resilient AI fallback chains for provider outages, model failures, throttling, timeouts, latency spikes, and quality degradation while maintaining reliable .NET application behavior.
• Building Trace-Based Release Gates for AI ApplicationsAug 18, 2026. Build trace-based release gates for AI applications using evaluation metrics, execution traces, quality thresholds, regression detection, and automated CI/CD checks to prevent unreliable AI releases.
• Benchmarking RoutingChatClient Against Static Model SelectionAug 18, 2026. Benchmark RoutingChatClient against static model selection in .NET by measuring routing overhead, latency, token usage, response quality, cost, and performance across different AI workloads.
• Validating Explainability in Regulated Digital Wallet Onboarding with Multi-Agent RAG, MCP, and LangGraph StateAug 16, 2026. Digital wallet onboarding requires explainable, fair, and auditable AI decisions. Explore SHAP and LIME limitations and a LangGraph, RAG, and MCP framework for compliant, validated, and actionable explanations.
• Benchmarking Local LLM Inference with Quantized Models on WindowsAug 17, 2026. Benchmark local LLM inference on Windows using quantized models and compare CPU, GPU, and NPU performance, memory usage, latency, throughput, and model efficiency.
• How to Use Version History in SharePointAug 17, 2026. Learn how SharePoint Version History tracks file and list item changes, lets you view previous versions, identify modifications, restore older versions, and manage version retention.
• Decorator vs Proxy Design Pattern : What’s the Difference?Aug 16, 2026. Understand the difference between Decorator and Proxy design patterns in C#, including their intent, object wrapping, access control, behavior extension, caching, authorization, logging, and practical implementation examples.
• Validating Explainability in EduTech Credit Models: A Multi-Agent RAG Framework with SHAP/LIME Verification, MCP IntegrationAug 16, 2026. Learn how to build a domain-specific explainability validation framework for EduTech credit models using SHAP, LIME, LangGraph, Chroma, persistent memory, and Model Context Protocol (MCP). This article explores how to validate AI-generated explanations across technical soundness, pedagogical validity, regulatory compliance, and historical consistency. It demonstrates a multi-agent architecture that combines learning-science knowledge, live student performance data, policy guidance, and explanation history to identify unstable or misleading explanations before they reach students, advisors, or compliance teams.
• How to Understand GUID in Power Apps and Power AutomateAug 17, 2026. Learn how GUIDs work in Power Apps, Power Automate, Dataverse, and SharePoint, including GUID generation, correlation IDs, audit tracking, integrations, and unique record identification.
• Benchmarking Model Routing by Cost, Latency, and Answer QualityAug 14, 2026. Benchmark LLM model-routing strategies by comparing inference cost, response latency, answer quality, reliability, and workload-specific model selection across multiple models.
• How to Optimize Using ForAll(), Sequence(), and Concurrent() in Power Apps Aug 14, 2026. Learn how ForAll(), Sequence(), and Concurrent() work in Power Apps for record processing, dynamic table generation, parallel operations, bulk updates, error handling, and performance optimization.
• Building Trace-Based AI Evaluation Gates in CI/CDAug 14, 2026. Build trace-based AI evaluation gates in CI/CD to detect quality regressions, enforce evaluation thresholds, analyze model behavior, and prevent unreliable AI releases.
• Data-Centric Multi-Agent RAG: Modeling Products, Users, and Context in LangGraph & ChromaDBAug 11, 2026. Build intelligent enterprise AI by modeling products, users, and context distinctly in LangGraph & ChromaDB for superior recommendations.
• Complementing Behavioral Models in Capital Markets Execution & Settlement with LangGraphAug 12, 2026. Enhance capital markets execution & settlement with LangGraph. Hybrid models combine behavioral insights with semantic RAG for compliant, constraint-aware recommendations.
• MLOps Essentials: Model Development and IntegrationAug 10, 2026. Master MLOps for scalable, reliable ML. Learn data processing, continuous training, experiment tracking, and model integration for production-ready systems.
• Node.js 26 Permission Models for Secure Build PipelinesAug 11, 2026. Secure Node.js 26 build pipelines with the Permission Model. Apply least privilege, restrict resource access, and enhance CI/CD security.
• How to Use Live Monitor in Power Apps: Debugging, Performance, and Network AnalysisAug 10, 2026. Master Power Apps debugging with Live Monitor. Analyze real-time events, troubleshoot errors, optimize performance, and streamline SharePoint/connector calls.
• How to sync SharePoint choice values to Dataverse choice columns using Power AutomateAug 07, 2026. Master syncing SharePoint choice values to Dataverse using Power Automate. Learn to map text labels to integer values for seamless integration.
• Architecture of Artificial IntelligenceAug 06, 2026. Explore the AI architecture: input, processing, decision-making, output, and continuous learning. Key for modern AI like ChatGPT.
• Implementing AI Model Rollback Strategies in Production SystemsAug 06, 2026. Master AI model rollback strategies for production systems. Ensure resilience with versioning, gradual deployments, monitoring, and automated recovery.
• Building Prompt-Routed Workflow Selection with Azure AI Foundry Model Router and Microsoft Agent Framework for GraphRAGAug 04, 2026. Build deterministic, observable, and resilient prompt-routed workflows with Azure AI Foundry Model Router and Microsoft Agent Framework for robust orchestration.
• Simple Factory Design PatternAug 04, 2026. Learn the Simple Factory Pattern: a foundational design pattern for object creation, enhancing maintainability and abstraction in your code.
• Benchmarking Embedding Models for Enterprise Semantic Search ApplicationsAug 04, 2026. Benchmark embedding models for enterprise semantic search & RAG. Optimize accuracy, latency, and cost with a .NET framework.
• Semantic Kernel Plugins vs Model Context Protocol: Choosing the Right Integration StrategyAug 03, 2026. Choosing between Semantic Kernel Plugins and MCP for AI integration? Learn their differences, strengths, and when to use each for robust enterprise AI applications.
• Understanding SOLID Principles in C#: Building Maintainable Object-Oriented ApplicationsAug 02, 2026. Master SOLID principles in C#: SRP, OCP, LSP, ISP, DIP. Learn to write clean, maintainable, and scalable object-oriented code.
• SharePoint Online REST API Authentication Update: Client Credential DeprecationAug 01, 2026. SharePoint Online REST API auth update: Client credentials deprecated. Migrate to Entra ID app permissions with certificate-based auth for unattended integrations.
• Ultimate End-to-End Guide to TensorFlow: From Installation to Your First Deep Learning ModelAug 01, 2026. Master TensorFlow from installation to building your first deep learning model with this comprehensive end-to-end guide for Windows and VS Code.
• The Hidden Architecture of Power BI Publishing ExplainedAug 01, 2026. Uncover the hidden Power BI publishing process: from PBIX upload to cloud asset separation, semantic models, and secure data.
• From Excel Power Pivot to Power BI: When Is It Time to Make the Move?Aug 01, 2026. Learn when to upgrade from Excel Power Pivot to Power BI for scalable, collaborative, and real-time business intelligence. Extend your analytics.
• What is MCP (Model Context Protocol)?Jul 30, 2026. MCP (Model Context Protocol) standardizes AI interaction with external systems, tools, and data for enhanced functionality and real-world task execution.
• Implementing Multi-Tenant SaaS Architecture in ASP.NET CoreJul 31, 2026. Implement secure and scalable multi-tenant SaaS in ASP.NET Core. Learn tenancy models, data isolation, and best practices for shared or separate databases.
• Demystifying the Factory Pattern in Modern C#Jul 30, 2026. Master the Factory Pattern in C# to decouple object creation, enhance extensibility, and simplify testing. Avoid tight coupling with 'new'.
• LLMs vs. Classical Models in Credit ScoringJul 30, 2026. LLMs enhance credit scoring by handling unstructured data, while classical models provide regulatory compliance and numerical accuracy. A hybrid approach ensures explainability and efficiency.
• LLMs vs Classical Models in a Deep Multi-Agent LangGraph Architecture with LLM GatewayJul 28, 2026. Hybrid LLM and classical ML architecture for enterprise AI, revolutionizing credit underwriting with RAG and multi-agent systems.
• Beyond Chatbots and Flowcharts: Why Gate2ASI AI’s AgentFactory Is a New Enterprise Execution ModelJul 28, 2026. Gate2ASI AI's AgentFactory redefines enterprise AI execution with a governed digital workforce, moving beyond chatbots for dependable business outcomes.
• Agentic AI System Design Explained: The Building Blocks Behind Real AI AgentsJul 27, 2026. Unlock the secrets of agentic AI system design: explore building blocks like model routing, tools, memory, orchestration, and production principles for reliable AI agents.
• AI Governance and Autonomous AI Agent Governance: From Controlling Models to Governing Digital Actors - Human-in-the-Loop Is Not EnoughJul 26, 2026. AI governance evolves from model control to governing autonomous digital actors, emphasizing identity, authorization, and accountability for responsible operations.
• Understanding Entity Framework Core MigrationsJul 27, 2026. Master Entity Framework Core Migrations for seamless database schema management. Keep your database in sync with evolving C# models using the Code First approach.
• Building Local AI Applications with ONNX, Phi Models, and .NET 10Jul 24, 2026. Build fast, private local AI apps with ONNX, Phi models, and .NET. Achieve low latency, offline capabilities, and data control.
• Garbage Collection in C#: How .NET Automatically Manages MemoryJul 23, 2026. Learn how .NET's Garbage Collection automatically manages C# memory, preventing leaks and improving app reliability by reclaiming unused objects.
• Inside the .NET Garbage Collector: How Mark, Sweep, Compact, and Finalization Really Work in C#Jul 23, 2026. Understand the .NET GC's Mark, Sweep, Compact, and Finalization phases. Learn how it efficiently reclaims memory and keeps your C# apps running smoothly.
• A Practical Guide to Document Management in Dataverse: Choosing the Right Architecture for Enterprise Power Platform SolutionsJul 22, 2026. Master Dataverse document management. Explore Notes, File Columns, SharePoint, and Azure Blob Storage for optimal Power Platform solutions.
• Part 5: Evaluating and Deploying AIJul 21, 2026. A practical guide to evaluating AI models, avoiding misleading metrics, handling overfitting and bias, improving explainability, and preparing AI systems for real-world deployment.
• ONNX Runtime in .NET: Running AI Models Without Cloud APIsJul 21, 2026. Run AI models locally in .NET with ONNX Runtime. Achieve faster inference, better privacy, and lower costs without cloud APIs.
• Local AI in .NET MAUI: Running On-Device Models with ONNX RuntimeJul 20, 2026. Unlock Local AI in .NET MAUI! Run ONNX models on-device for faster, private, offline AI experiences across platforms.
• Power Apps component frameworkJul 20, 2026. Power Apps PCF controls: custom, reusable UI components for richer, interactive experiences in model-driven & canvas apps. Enhance Dataverse integration.
• Understanding __new__ vs __init__ in Python: Allocation, Initialization, and Object PoolingJul 18, 2026. Demystify Python's __new__ vs __init__: understand object creation, subclassing immutables, and implementing powerful patterns like Object Pooling.
• Local LLMs with Ollama: Complete Setup and Integration GuideJul 16, 2026. Master local LLMs with Ollama! Setup, run, and integrate AI models like Llama and Mistral for privacy, cost savings, and offline access.
• Part 4: The Neural Revolution And GenAIJul 16, 2026. A developer-friendly explanation of perceptrons, neural networks, deep learning, generative AI, large language models, next-token prediction, and diffusion models.
• GPT-5.6 Sol vs. Terra vs. Luna: What They Do and How to Choose the Best ModelJul 17, 2026. Learn what GPT-5.6 Sol, Terra, and Luna are, how they compare in capability, speed, pricing, availability, and use cases, and how to choose the right OpenAI model for your workload.
• Model Context Protocol (MCP) Explained: The Future of AI Tool IntegrationJul 16, 2026. Unlock AI's potential with Model Context Protocol (MCP)! Standardize tool integration for seamless, scalable, and secure AI applications.
• How to Use Indexed Columns in SharePoint to Improve List PerformanceJul 17, 2026. Boost SharePoint list performance with indexed columns. Learn how to speed up filtering, sorting, and avoid list view threshold issues.
• Choosing Between Lakehouse and Warehouse in Microsoft Fabric: A Real-World Project WalkthroughJul 16, 2026. Reasons for choosing the lakehouse and warehouse in end to end fabric pipline
• SeaweedFS Tutorial: Building Scalable Object Storage for Cloud-Native ApplicationsJul 16, 2026. Learn how SeaweedFS works, its architecture, deployment process, and how to build scalable object storage for cloud-native applications using open-source technology.
• Model Context Protocol Registries Explained: Managing Enterprise MCP EcosystemsJul 16, 2026. Learn what Model Context Protocol (MCP) Registries are, how they work, and how enterprises use them to manage, secure, and scale AI tool ecosystems.
• SurrealDB Tutorial: Combining Relational, Document, and Graph DatabasesJul 16, 2026. Learn how SurrealDB combines relational, document, graph, and real-time database capabilities into a single platform for modern application development.
• Part3 - The Shift to Machine LearningJul 16, 2026. A practical explanation of how software engineering shifted from hand-written rules to machine learning systems that learn patterns from data.
• WebAssembly on the Server: Understanding WASI and Modern Runtime ModelsJul 15, 2026. Learn how WebAssembly and WASI enable secure, portable, and efficient server-side applications with modern runtime models for cloud-native and edge computing.
• What is Physical AI? Why the Next AI Revolution Will Move Beyond the ScreenJul 14, 2026. Discover what Physical AI is and how it combines AI, robotics, computer vision, sensors, and Large Language Models to enable intelligent machines that perceive, reason, and act in the real world. Explore key technologies, real-world applications, challenges, and the future of AI-powered robotics beyond screens.
• Enterprise Graph-RAG: Modeling Financial Risk Networks with Multi-Agent LangGraphJul 14, 2026. Enterprise Graph-RAG models financial risk networks with multi-agent LangGraph for real-time contagion and AML analysis.
• Model Context Protocol (MCP) Explained for .NET DevelopersJul 14, 2026. Understand Model Context Protocol (MCP) for .NET developers. Standardize AI integrations with tools, databases, and APIs for scalable, secure applications.
• What Is Model Context Protocol (MCP) Registry? A Complete GuideJul 13, 2026. Discover the MCP Registry: a central hub for AI tools, simplifying discovery, management, and sharing of Model Context Protocol servers for robust AI applications.
• MCP Servers in Practice: Building Secure Tool Integrations for AI AgentsJul 13, 2026. Discover MCP Servers for secure AI agent tool integrations. Standardize, simplify, and enhance security for dynamic external system access.
• How Restrict Delete and Cascade Delete Work in SharePoint Lookup ColumnsJul 09, 2026. Master SharePoint Lookup column relationship behaviors: Restrict Delete vs. Cascade Delete. Ensure data integrity and prevent accidental loss.
• How to Build a Local AI Stack Using Ollama, Open WebUI, and DockerJul 10, 2026. Build a local AI stack with Ollama, Open WebUI, & Docker for private, secure, and cost-effective AI model deployment. Control your data and costs.
• Model Context Protocol (MCP) Gateways Explained: Securing Enterprise AI IntegrationsJul 10, 2026. Secure your enterprise AI integrations with MCP Gateways. Learn how this protocol enforces security, governance, and control for AI access to your critical business systems.
• How to Deploy Open-Source LLMs on Kubernetes Using KServeJul 10, 2026. Deploy open-source LLMs on Kubernetes with KServe for scalable, secure, and efficient AI inference. Master production-ready ML serving.
• How to bulk delete custom columns of SharePoint List using Power AutomateJul 09, 2026. Learn to efficiently bulk delete custom columns from SharePoint lists using Power Automate. Streamline your list management with this step-by-step guide.
• Building AI-Powered Code Review Systems with GitHub ModelsJul 10, 2026. Enhance code quality & security with AI-powered reviews using GitHub Models. Automate checks, boost productivity, and accelerate delivery.
• SeaweedFS Tutorial: Building Scalable Object Storage SystemsJul 09, 2026. Master SeaweedFS for scalable object storage. Learn its architecture, benefits, and best practices for building efficient, high-performance distributed systems.
• Orleans Framework Tutorial: Building Distributed Applications in .NETJul 09, 2026. Master .NET distributed apps with Orleans! Learn the Virtual Actor Model for scalable, fault-tolerant, and stateful systems.
• SurrealDB Explained: Combining SQL, Graph, and Document DatabasesJul 09, 2026. SurrealDB unifies SQL, graph, and document databases for modern apps. Simplify architecture with a single, multi-model solution.
• Understanding Browser AI APIs: Running AI Models Directly in the BrowserJul 07, 2026. Run AI models directly in the browser with Browser AI APIs. Enhance privacy, reduce latency, and lower costs with local AI processing.
• How to Archive Completed Records Automatically Using Power AutomateJul 06, 2026. Automate archiving of old records in Power Automate to boost performance, simplify data management, and ensure compliance. Keep your systems clean!
• Building AI Agents with Model Context Protocol (MCP): A Beginner’s GuideJul 06, 2026. Learn about Model Context Protocol (MCP), a standardized way for AI agents to connect with tools, databases, and APIs, simplifying development and enhancing capabilities.
• Graph Database vs Vector Database: Understanding the Key DifferencesJul 06, 2026. Graph vs. Vector Databases: Understand key differences in data modeling, use cases, and AI integration for optimal application development.
• How to Set Item-Level Permissions in SharePoint Using Power AutomateJul 06, 2026. Master SharePoint item-level permissions with Power Automate. Secure sensitive data by breaking inheritance and assigning unique access.
• Specification Pattern in C#Jul 05, 2026. Master the Specification Pattern in C# to avoid method explosion. Represent business rules as reusable, composable objects for cleaner, flexible code.
• Graph Databases vs Relational Databases: Choosing the Right ModelJul 03, 2026. Graph vs. Relational Databases: Understand strengths, weaknesses, and use cases to choose the right data model for your application.
• 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 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 Conditionally Show or Hide Fields in SharePoint Online List FormsJul 01, 2026. Learn to conditionally show/hide SharePoint Online list form fields using JSON formulas for a cleaner, user-friendly experience.