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• 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.
• 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.
• Building an AI-Driven Database Query Performance Analyzer with .NET and SQL ServerJun 30, 2026. Build an AI-driven .NET and SQL Server analyzer to boost database query performance, reduce troubleshooting time, and enhance application responsiveness.
• 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.
• Building AI-Powered Database Query Optimization Tools with SQL Server and .NETJun 30, 2026. Build AI-powered SQL Server query optimization tools with .NET. Automate performance analysis, detect bottlenecks, and get intelligent recommendations.
• From Reactive Monitoring to AI-Driven Governance: Building a Power Platform Governance Agent with Copilot StudioJun 30, 2026. Built a Power Platform Governance Agent using Copilot Studio, Power Automate, Dataverse, and Admin Connectors.
• GitHub Copilot Agent Mode: Complete Guide for Enterprise DevelopersJun 30, 2026. Master GitHub Copilot Agent Mode for enterprise developers. Boost productivity with context-aware, multi-file task execution and accelerated development.
• 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.
• 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.
• Designing AI-Powered Internal Package Discovery Platforms with NuGetJun 29, 2026. Enhance internal package discovery with AI. Build an ASP.NET Core platform using NuGet, Azure OpenAI, and vector search for faster development.
• Vertical AI Agent: What It Is and How to Build One That WorksJun 27, 2026. Learn what a vertical AI agent is and how to build one for a real business workflow. See simple examples, architecture, setup steps, risks, fixes, and success metrics.
• 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
• Microsoft Fabric Update: You Can Now Adjust Column Width in the SQL Analytics Endpoint User InterfaceJun 26, 2026. This article is about the new feature in Microsoft Fabric that allows you to adjust column width
• 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.
• Building Intelligent NuGet Package Upgrade Assistants with AIJun 26, 2026. Leverage AI to build intelligent NuGet package upgrade assistants, simplifying .NET dependency management, reducing risks, and boosting developer productivity.
• Building AI-Powered SQL Query Performance Advisors with Entity Framework CoreJun 26, 2026. Build AI-powered SQL query advisors with Entity Framework Core to automatically detect bottlenecks, optimize performance, and boost application responsiveness.
• 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-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.
• 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.
• 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.
• 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.
• Why Every Databricks Data Engineer Should Audit Their Query HistoryJun 24, 2026. Audit Databricks query history to identify and optimize costly, long-running queries, ensuring financial governance and platform performance.
• 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.
• 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.
• Converting Messy Documents to Markdown in Enterprise RAGJun 23, 2026. If you have built an enterprise Retrieval-Augmented Generation (RAG) system, you already know the dirty secret of the industry: The LLM is rarely the bottleneck; the data ingestion pipeline is. Enterprises do not store their knowledge in neat, pre-formatted JSON files. Knowledge is trapped in 50-page PDFs with complex tables, nested DOCX onboarding guides, and legacy TXT configuration logs. If you naively extract text from these files and chunk them using a simple character-count splitter, your RAG system will suffer from "context fragmentation." The LLM will receive a chunk of text without knowing what document it came from, what chapter it belongs to, or what the parent topic was.
• 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.
• 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.
• 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 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.
• 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.
• 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.
• 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.
• Understanding Loops in AI: The Engine Behind Learning and Intelligent AgentsJun 21, 2026. Discover how loops power AI learning, decision-making, and autonomous agents. Essential for understanding modern AI's iterative engine.
• Multi-Agent Reasoning Loops: Failure Modes & Mitigations in One-tap UPI Payments Jun 18, 2026. Explore failure modes in multi-agent AI systems, like deadlocks and hallucinations, and learn practical mitigation strategies for building robust AI applications.
• Combining LangGraph and RAG for Enterprise ComplianceJun 19, 2026. Building an AI agent for a regulated industry is an exercise in managing the tension between LLM flexibility and regulatory rigidity.
• Building an Inventory & Order Management System in ASP.NET Core (Setup & Core Features) Part 1Jun 19, 2026. Build an ASP.NET Core Inventory & Order Management System. Part 1 covers project setup, core features like Product, Category, Supplier, and Customer CRUD.
• Tracing Reasoning Failures Across Multiple Agent Steps in Retail Jun 19, 2026. Discover how cascading reasoning failures in multi-agent AI systems can be traced and prevented in retail using shared state and reviewer agents.
• Preventing Tool Over-Calling and Recursive Loops in Retail AgentsJun 19, 2026. Prevent AI agent tool over-calling and recursive loops in retail with circuit breakers, state tracking, and strict tool definitions.
• Measuring the Quality of Tool Selection by an AI Agent for a Credit Card SystemJun 19, 2026. Evaluate AI agent tool selection quality for credit card systems. Focus on process, not just outcome, for safety and efficiency.
• Planner-Executor vs. Graph-Based Orchestration (LangGraph) in BankingJun 19, 2026. By using LangGraph for the macro-orchestration, the bank satisfies regulators, ensures strict compliance, and enables seamless human-in-the-loop approvals. By nesting Planner-Executor agents inside specific nodes, the engineering team retains the flexibility needed to handle the messy, unpredictable nature of real-world customer documents.
• How to Prevent AI Agents from Over-Calling ToolsJun 19, 2026. Prevent AI agents from over-calling tools with practical strategies like hard limits, state tracking, and optimized descriptions.
• Designing Guardrails for AI Agents on Sensitive APIs and IoT DataJun 19, 2026. Secure AI agents on sensitive APIs & IoT data with multi-layered guardrails: IAM, DLP, action limits, and HITL for safe enterprise deployment.
• 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.
• AgentFactory: Turning Enterprise Intent into Governed, Evidence-Backed ExecutionJun 18, 2026. AgentFactory: Transforming enterprise intent into governed, evidence-backed execution with intelligent agents and digital workflows.
• 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.
• Designing Guardrails for Enterprise Agents with LangGraph in RetailJun 19, 2026. Secure enterprise AI agents with LangGraph. Implement robust guardrails for retail, preventing prompt injection, PII leakage, and unauthorized actions.
• AI Workflow Recovery Patterns: Handling Interrupted Agent OperationsJun 19, 2026. Master AI workflow recovery: Learn patterns like checkpointing, state persistence, retries, and compensation for resilient agent operations.
• 📖 Building a Web-Based Timesheet Management System in ASP.NET CoreJun 19, 2026. Build a robust ASP.NET Core MVC timesheet system with SQL Server. Features include entry, allocation, approvals, auth, reporting & deployment.
• Is Your LangGraph Agent Actually Moving the Needle, or Just Adding Complexity?Jun 19, 2026. Evaluate LangGraph agents: Does it boost business outcomes or just add complexity? Learn a framework & real-world news aggregator case study.
• 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.
• Infinite Cycles in LangGraph Reasoning ChainsJun 19, 2026. Master LangGraph's infinite cycles! Learn to prevent AI agent loops with state updates, attempt counters, and human escalation for robust reasoning.
• 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.
• Building Robust E-commerce Agents with LangGraph and PydanticJun 19, 2026. Build robust e-commerce agents with LangGraph & Pydantic. Prevent LLM hallucinations with tool grounding, structured outputs, and reflection.
• 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.
• Designing Guardrails for LangGraph Agents in Enterprise RetailJun 19, 2026. Secure LangGraph agents in retail with multi-layered guardrails: input validation, execution supervision, and output compliance for autonomous workflows.
• LangChain Agents vs. LangGraph Nodes in AI Credit ScoringJun 18, 2026. LangChain Agents vs. LangGraph Nodes: Understand the shift from autonomous LLM agents to structured, deterministic nodes for production AI in fintech.
• The Architecture of State and an End-to-End Agentic Use CaseJun 17, 2026. Master LangGraph's state model for autonomous AI agents: state management, reducers, persistence, and human-in-the-loop for robust applications.
• Version Control and Change Tracking in Complex LangGraph WorkflowsJun 18, 2026. Master LangGraph version control: Git, LangSmith, and checkpointers for complex, stateful, multi-agent systems.
• Building Resilient Multi-Agent Systems: Handling Tool Errors and Timeouts in LangGraphJun 18, 2026. Build resilient LangGraph multi-agent systems by handling tool errors and timeouts. Learn to design for failure and create robust AI applications.
• Understanding Workflow Automation, Agent Orchestration, and Autonomous AgentsJun 18, 2026. Understand Workflow Automation, Agent Orchestration, and Autonomous Agents to build effective AI systems for 2026 and beyond.
• Dissecting RAG vs. Agentic Workflows in Syndicated Loan OperationsJun 17, 2026. When a group of banks lends $500M to a corporation, one bank acts as the "Agent." The Agent is responsible for the administrative plumbing: collecting quarterly financials from the borrower, calculating covenant compliance, distributing funds, and managing exceptions. It is a notoriously document-heavy, highly regulated, and deeply manual process.
• 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.
• Failure Modes in Multi-Agent Reasoning Loops and How to Mitigate Them with LangGraphJun 18, 2026. Mitigate multi-agent reasoning loop failures with LangGraph: tackle infinite debates, context collapse, role drift, and state mutations.
• When to Choose LangGraph Over LangChain in 2026Jun 17, 2026. Choosing between LangChain and LangGraph in 2026: Understand DAGs vs. cyclic graphs for AI app architecture.
• 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.
• Mastering Python dict and State Management in LangGraph: An End-to-End GuideJun 17, 2026. Master LangGraph state management with Python dicts and TypedDict. Build robust AI agents and workflows with end-to-end guidance and best practices.
• Event Driven Architecture backdrop or workflow orchestrationJun 16, 2026. This article explains workflow orchestration, a technology prior to Event Driven Architecture.. if you understand this, you will easily understand event driven architecture
• In LangGraph When Tool-Calling Fails to Retrieve the Right ContextJun 17, 2026. LangGraph tool-calling failures: Debugging context retrieval issues, fixing schema ambiguity, state structure, and prompt disconnects for reliable AI agents.
• Application Insights & Copilot Studio, Monitor, debug, and analyze your AI agentJun 16, 2026. Unlock deep insights into your Copilot Studio agent with Application Insights. Monitor, debug, and analyze conversations for enhanced performance and user experience.
• Migrating from LangGraph to LlamaIndex/MAFJun 17, 2026. This article demonstrates how to migrate a production LangGraph implementation to LlamaIndex or a Multi-Agent Framework (MAF), using a real-world customer support automation system as our use case.
• 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.
• Building Intelligent Airline Transaction Routing with LangGraph Conditional EdgesJun 17, 2026. Build an intelligent airline transaction router with LangGraph's conditional edges for real-time risk assessment and dynamic agent routing.
• 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.
• 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.
• 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.
• 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.
• Building AI-Powered SQL Assistants with Semantic Kernel and .NETJun 16, 2026. Build AI-powered SQL assistants with Semantic Kernel and .NET to unlock data insights. Empower users with natural language queries and secure data access.
• What Are AI Agents?Jun 15, 2026. Discover AI Agents: intelligent systems that think, plan, and act autonomously to automate complex tasks, transforming software development and business operations.
• AI Agents, Autonomy, and the Danger of Blind TrustJun 16, 2026. AI agents offer power but demand caution. Learn from the PocketOS disaster to implement safeguards for autonomous AI.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• India’s Own AI Server: What It Is and How India Can Build a Self-Reliant AI InfrastructureJun 11, 2026. Learn what India’s own AI server means, how AI servers work, why India needs sovereign AI infrastructure, and how Indian organizations can build and scale AI-ready data centers.