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#AI Tools

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Chat History Storage Patterns in Microsoft Agent Framework
knowledge-hub 02 Jul 2026

Chat History Storage Patterns in Microsoft Agent Framework

Where does the conversation history live? That one decision shapes your agent's cost, privacy, portability, and UX. Here's how service-managed and client-managed storage differ — and how Microsoft Agent Framework abstracts both behind one programming model.

Build an AI Chat App with .NET and OpenAI
knowledge-hub 02 Jul 2026

Build an AI Chat App with .NET and OpenAI

A .NET console chat app in one Program.cs file — using Microsoft.Extensions.AI so the OpenAI model behind it is a swappable detail, not a lock-in.

Local AI Models in .NET, Wired Up by Aspire
knowledge-hub 27 Jun 2026

Local AI Models in .NET, Wired Up by Aspire

Run a model on your own machine during development, swap to Azure OpenAI in production — same code. Here's how Aspire and Ollama make local AI a registration detail, not a rewrite.

A React + ASP.NET Core App, Orchestrated by Aspire
knowledge-hub 27 Jun 2026

A React + ASP.NET Core App, Orchestrated by Aspire

Build a full-stack TODO app — ASP.NET Core API, SQLite, and a Vite React front-end — all wired together and run with a single F5 by .NET Aspire. Step by step, from empty folder to running app.

Doing More with GitHub Copilot as a .NET Developer
knowledge-hub 24 Jun 2026

Doing More with GitHub Copilot as a .NET Developer

Stop memorising Copilot features and start with a real task from your backlog. Here's how I split work between chat and agentic flows across Visual Studio, VS Code, the CLI, and the cloud agent.

Extending Claude Code with MCP Servers
knowledge-hub 06 May 2026

Extending Claude Code with MCP Servers

MCP servers plug external tools into Claude Code — query your database, search Notion, browse Linear, control a browser. Here's how to add and configure them.

Prompt Engineering: Get Better Results from AI
knowledge-hub 24 Aug 2025

Prompt Engineering: Get Better Results from AI

Your AI outputs are only as good as your inputs. Here's how I use prompt engineering techniques to get consistently strong results from ChatGPT, Copilot, and image generators.

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