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Building Production-Ready RAG Pipelines with Azure AI Search and .NET
Build production-ready RAG pipelines with Azure AI Search and .NET for accurate, context-aware AI responses using your own data.
AI Gateway Patterns: Managing Multiple LLM Providers in Production
Master AI Gateway Patterns for managing multiple LLM providers, simplifying integration, boosting reliability, and controlling costs.
Semantic Kernel Plugins Explained: Extending AI Applications with .NET
Unlock AI potential with Semantic Kernel Plugins! Extend .NET apps to interact with databases, APIs, and real-world systems for powerful AI agents.
Building AI Applications with Gemini CLI: A Practical Developer Guide
Master AI development with Gemini CLI! Build, test, and automate AI apps directly from your terminal. A practical guide for developers.
What Is Model Context Protocol (MCP) Registry? A Complete Guide
Discover the MCP Registry: a central hub for AI tools, simplifying discovery, management, and sharing of Model Context Protocol servers for robust AI applications.
Azure AI Foundry Agents vs Semantic Kernel: Which Framework Should You Choose?
Azure AI Foundry Agents vs. Semantic Kernel: Compare features, use cases, and choose the right Microsoft framework for your AI agent development needs.
How to Build a Local AI Stack Using Ollama, Open WebUI, and Docker
Build a local AI stack with Ollama, Open WebUI, & Docker for private, secure, and cost-effective AI model deployment. Control your data and costs.
Building Production AI Applications with OpenAI Responses API
Unlock production AI with OpenAI's Responses API. Unified interface for chat, tools, reasoning & more. Build intelligent apps efficiently.
Model Context Protocol (MCP) Gateways Explained: Securing Enterprise AI Integrations
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.
Understanding Browser AI APIs: Running AI Models Directly in the Browser
Run AI models directly in the browser with Browser AI APIs. Enhance privacy, reduce latency, and lower costs with local AI processing.
Building Production APIs with FastAPI: A Complete Beginner's Guide
Master FastAPI for production APIs! Learn to build fast, secure, and scalable applications with automatic docs, validation, and async support.
Building AI Applications Using Model Context Protocol (MCP) Proxies
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 LLMs
Build AI features in ASP.NET Core with Small Language Models (SLMs) for lower costs, faster responses, and better privacy than LLMs.
15 Technical Red Flags to Identify Before Acquiring a Software Company
Uncover 15 technical red flags in software acquisitions, from technical debt to AI code risks, to avoid costly mistakes.
Azure AI Foundry vs Azure OpenAI: Key Differences for Developers
Azure AI Foundry vs. Azure OpenAI: Understand key differences for developers. Choose the right AI platform for your project needs.
How AI Is Transforming the Software Development Lifecycle
Explore how AI revolutionizes software development! From coding to testing and DevOps, discover AI's impact on productivity, quality, and reliability. Learn more!
Building an AI-Powered Root Cause Analysis System for Production Incidents in .NET
Build an AI-powered Root Cause Analysis system in .NET to accelerate incident resolution, reduce MTTR, and enhance system reliability with modern observability.
How to Use Foundry Local for Privacy-First AI Development in C#
Build privacy-first AI apps in C# with Foundry Local. Keep sensitive data secure and under control, reducing compliance risks and external dependencies.
Preventing Tool Over-Calling and Recursive Loops in Retail Agents
Prevent AI agent tool over-calling and recursive loops in retail with circuit breakers, state tracking, and strict tool definitions.
Building Intelligent Code Ownership Discovery Systems Using AI
Build intelligent code ownership discovery systems using AI, .NET, and GitHub APIs for faster incident resolution and improved collaboration.
AI-Assisted Log Correlation Across Distributed .NET Microservices
Enhance .NET microservice troubleshooting with AI-assisted log correlation. Faster incident resolution, better root cause analysis, and improved reliability.
AI-Assisted Refactoring Strategies for Large C# Codebases
Leverage AI for efficient C# codebase refactoring. Improve code quality, reduce technical debt, and boost developer productivity.
Implementing AI-Based Knowledge Integrity Validation in Enterprise Applications
Ensure AI reliability by implementing AI-based knowledge integrity validation for accurate, trusted, and compliant enterprise data.
Implementing AI-Based Knowledge Freshness Monitoring Systems
Ensure AI accuracy with freshness monitoring systems. Detect outdated knowledge, prioritize updates, and boost trust in enterprise AI.
Building an Agentic RAG Pipeline with LangGraph to Eliminate Retrieval Errors
Eliminate RAG retrieval errors with LangGraph's agentic pipelines. Enhance accuracy, reduce hallucinations, and boost ticket deflection.
AI Lifecycle Management: Versioning Models, Prompts, and Knowledge Sources
Master AI Lifecycle Management: Version models, prompts, and knowledge for reliable, transparent, and maintainable enterprise AI systems.
Building AI-Powered Release Intelligence Dashboards for Engineering Teams
Build AI-powered release intelligence dashboards for engineering teams using ASP.NET Core to gain actionable insights, predict risks, and improve software delivery.
AI Decision Logging: Tracking Why Models Make Business Decisions
Learn how to log AI decisions in .NET and ASP.NET Core, capturing inputs, predictions, confidence scores, and explanations for auditing and compliance.
AI-Driven Application Portfolio Modernization Strategies
Leverage AI for application portfolio modernization. Discover strategies to analyze, prioritize, and transform your applications effectively.
Building Enterprise AI Knowledge Stewardship Workflows
Build robust Enterprise AI Knowledge Stewardship Workflows with ASP.NET Core for trusted, accurate AI outputs and resilient knowledge management.
