Agentic workflow with MAF and optimized token usage
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Updated
Jun 30, 2026
Agentic workflow with MAF and optimized token usage
Multi-agent chess in C#, orchestrated with .NET Aspire and Microsoft Agent Framework. Two LLM agents (Claude, GPT-4o, Azure AI Foundry, or local Ollama) play chess against each other or against you, with a deterministic legality boundary, live cost tracking, and OpenTelemetry-based observability.
A repo where we will build Student Management App with different ways like MVC App, Console App, WPF App (Desktop App), and Web APIs (Angular Frontend), with different database approaches like EF Core, Dapper, Stored Procedure, and ADO.NET while sharing a single database for all of the Apps
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