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Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
Explore how AI enhances clinical decision-making in healthcare by improving data analysis, pattern recognition, and personalized care. Discover the future of AI in medicine.
Explore AI and ML in web development: benefits, use cases, and trends. Learn how AI-powered websites create smarter, personalized user experiences. Future-proof your site!
Learn to integrate OpenAI APIs into C# applications for production. Build reliable AI features with .NET, focusing on architecture, security, and resilience.
Secure RAG pipelines on Azure AI with layered defenses: network isolation, identity management, data access controls, and encryption. Prevent data leaks and unauthorized access.
Explore Claude Opus 4.5 on Azure: Anthropic's top AI model for coding, agents, and enterprise tasks. Discover its capabilities, use cases, and pricing details.
Learn about Kimi K2 Thinking on Azure, including its reasoning and tool-use capabilities, MoE architecture, OpenAI-compatible API, pricing, and safety considerations.
Unpack Agentic RAG: a smart assistant for complex queries. It leverages AI agents to enhance retrieval, validate context, and deliver robust answers. Learn how it surpasses vanilla RAG!
Building Intelligent Applications with C# in the Modern Era of Machine Learning and Artificial Intelligence
Can AI truly be conscious? Explores the possibility of coding awareness, the difference between intelligence and experience, and the hard problem of consciousness.
Foundry IQ: Microsoft's knowledge layer for smarter RAG. Connect AI agents to scattered enterprise data, improving retrieval, security, and answer quality. Simplify complex queries!
Discover MCP (Model Context Protocol), a universal standard for connecting AI models to backend systems. Learn how .NET developers can leverage MCP for scalable AI.
This article explains how AI is changing web development with a strong focus on Angular applications. It covers real-world use cases, best practices, and risks for senior developers. A practical, production-ready perspective without hype or marketing noise.
This article explains how AI-generated code is changing code reviews in modern Angular applications. It focuses on real-world challenges, reviewer responsibilities, and best practices for senior developers. A practical guide to maintaining quality in the AI-assisted development era.
Enterprises burdened by fragmented, brittle ML pipelines—spanning Azure ML, Functions, and custom orchestrators can modernize with Azure AI Foundry's workflow-first approach. This blog walks through real migration strategies, C# code examples, and before/after architectures for support triage and risk scoring, showing 70% faster iteration, unified governance, and seamless LLM/RAG integration while preserving existing .NET investments
Explore Microsoft Foundry Workflows, a powerful platform for designing, automating, and monitoring multi-agent processes. This article covers different types of agents and workflows, the prerequisites for getting started, the comprehensive toolbox for building workflows, and observability features that help teams optimize their processes end-to-end. Perfect for business users, analysts, and operations teams looking to accelerate intelligent automation solutions.
Learn how Microsoft Foundry generates synthetic data for model training, testing, evaluation, and agent scenarios when real data is limited or sensitive.
Running AI models on your own laptop or PC is now easy with Foundry Local, a small tool you install and use from the command line. It lets you download, run, and manage modern AI models locally so you can experiment, build apps, or work offline.?
The most dangerous myth about generative AI is that it is “just a tool.” That framing is comfortable because it lets you keep your current habits. It suggests the winners will be the people who simply add AI to what they already do.
The AI Toolkit for Visual Studio Code is a free extension that lets you download, test, fine-tune, and use AI models directly from VS Code, either on your own machine or in the cloud. It gives you a simple, step-by-step experience so you can go from “no model” to “AI inside my app” without leaving your editor.
Azure Foundry Workflows let you visually design “flows” where AI agents and business steps work together to complete a task from start to finish. Instead of one agent trying to do everything, you connect several small agents and logic blocks in a clear, ordered way
Explores how advanced AI could weaken wage-based demand, intensify market concentration, and create political and economic pressures on capitalism.
Enterprises are moving from simple copilots to “agentic” applications that can handle complex, multi-step work across systems. Azure Agent Factory gives teams a safe, repeatable way to build these agents using the same cloud platform, security, and DevOps practices they already know.
An autonomous insurance claims processing agent in Azure AI Foundry can read FNOL (First Notice of Loss) documents, predict settlement outcomes, and automate claims workflows by leveraging AI-powered data extraction, validation, and orchestration capabilities. Such an agent automates the intake and processing of claims, including extraction of data from forms, emails, and supporting documents, cross-referencing claims with policy terms, and routing for approval or escalation, thereby reducing cycle times significantly.
This article explains how senior developers can leverage AI tools to improve JavaScript code quality, performance, and maintainability. It covers practical Angular implementations, real-world examples, and AI-assisted development workflows. Learn how AI enhances coding productivity while adhering to best practices.
This article explores key ethical challenges in AI—bias, transparency, privacy, accountability, and regulation—highlighting why responsible, fair, and human-centric AI is essential as technologies increasingly shape decisions across industries.
Tokenization is the process of breaking text into smaller meaningful units called tokens. This complete guide explains what tokenization is, how it works in NLP and LLMs, types of tokenizers, examples, challenges, advanced subword algorithms and modern AI applications in 2025.
Virtual companions are offering a new way to address loneliness in an increasingly disconnected world. While they cannot replace human relationships, they have the potential to provide much-needed emotional support, especially for individuals who are socially isolated.
In recent years, generative AI, AI agents and automation platforms have matured rapidly. Many tasks once done by humans — content creation, customer support, data analysis, even parts of software development — can now be handled, in part or fully, by AI. As a result, an important and sometimes unsettling question is emerging: Will companies increasingly hire “software freelancers” (i.e. AI agents / tools) instead of human freelancers or employees? In other words: can a company substitute humans entirely with AI-driven freelancers — and under what conditions does that make sense? In this article, we examine the trend, dissect the possibilities and limitations, and discuss how engineering teams might build hybrid human + AI-powered workflows — including a practical Angular-based example for orchestration.
Artificial Intelligence (AI) is revolutionizing industries across the world, driving innovation in sectors such as healthcare, finance, education, and entertainment. AI’s potential is undeniable; however, as it becomes more integrated into our daily lives, it is also creating new forms of inequality—algorithmic inequality—that may divide societies into new, AI-driven social classes.
As the digital world becomes more integrated into every aspect of our lives, privacy will only become more critical. The fight for digital privacy is not just about protecting data—it’s about safeguarding our freedoms, autonomy, and personal rights in the digital age. The next decade will see new technologies emerge to both protect and compromise our privacy, and developers will play a pivotal role in deciding which side of history we fall on.
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