An overview of the GitHub Copilot SDK, showing how to embed AI coding assistance into custom applications using .NET, Python, Go, and JavaScript.
Explores how AI prompts have evolved from simple text strings into critical, reusable system components with logic, and the challenges this creates.
Analysis of the future of End-User Computing (EUC), focusing on AI integration, local LLMs, agent sprawl, and evolving security and user experience challenges.
Explains how to use Azure API Management with AI systems like Microsoft Foundry to improve sustainability through caching and request optimization.
A developer builds an AI-integrated REPL using QuickJS and WebAssembly, exploring AI's ability to analyze JavaScript bytecode.
Explores how AI is fundamentally changing product management, shifting from traditional documentation to rapid prototyping and real-time feedback.
Explains how to integrate local AI (Ollama) with PowerShell to automate SQL code reviews and checks in DataOps pipelines using tools like Flyway.
A guide on using Apple's new Foundation Models framework to build AI features in apps, including code examples for model availability and session management.
A guide to building and using Model Context Protocol (MCP) servers with Spring Boot and Spring AI for standardized AI application communication.
Introduces a Model Context Protocol (MCP) server for dev.to, enabling AI tools to access and interact with the platform's articles, tags, and user data.
A technical guide on building a custom knowledge graph system for health/fitness AI using MongoDB, S3, and LangChain.
Tutorial on building an AI-powered chat application using Spring AI for the backend and Angular for the frontend.
Xcode 26 introduces AI integration, allowing developers to use ChatGPT, other APIs, or local models for coding assistance within the IDE.
Analyzes Microsoft's inclusion of GitHub Copilot hints in .NET documentation, questioning if it's advertising and discussing its implications.
Explores the integration of Java with Generative AI and Large Language Models (LLMs) for building innovative applications like AI chatbots.
An overview of the Model Context Protocol (MCP), an open standard for connecting AI applications to external tools and data sources.
Learn how to use the OpenAI Python library to interact with Google's Gemini LLM for text generation, images, and more.
Explores using Azure Logic Apps for document parsing and chunking to streamline RAG (Retrieval-Augmented Generation) workflows and AI integration.
Introduces an app that adds AI actions (GPT, Claude, Ollama, Groq) to Apple's Shortcuts app, requiring your own API keys for secure use.
An introduction to Semantic Kernel's Planner, a tool for automatically generating and executing complex AI tasks using plugins and natural language goals.
