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Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
Learn what Microsoft Foundry added in October 2026, including the Copilot harness, browser automation, resilience, and Decisions API.
Learn how to secure AI coding agents against malicious repository content using trust boundaries, least-privilege permissions, isolated workspaces, and validation before merge.
Learn how to use MariaDB to persist AI agent memory, including conversation context, preferences, task state, structured storage, retrieval, and updates between requests.
Learn how to persist Google ADK agent sessions in MongoDB Atlas, including session document design, secure connections, loading state, and updating conversation history.
Learn how to manage large MCP tool catalogs with capability profiles, dynamic discovery, namespaces, risk levels, and least-privilege access controls for AI agents.
Learn how to use Redis as an agent mesh for multi-agent AI systems, including message contracts, Pub/Sub, task queues, shared state, and orchestration.
Design a central MCP gateway for internal AI agents, including tool routing, authentication, authorization, controlled discovery, logging, and failure handling.
Learn how to store long-running AI agent sessions in MongoDB, separating workflow state, conversation history, and tool results for reliable recovery across requests.
Learn how to configure Dependabot version updates for Agent Package Manager dependencies, including APM manifests, lockfiles, supported Git references, and current limitations.
Learn how to design an MCP gateway that centrally manages tool discovery, routing, authentication, authorization, and observability for large internal AI agent tool ecosystems.
Learn how to design persistent AI agent memory with SurrealDB, including memory types, record structure, semantic retrieval, and context management for multi-step workflows.
Learn how to design a searchable audit trail for AI agent actions, including event schemas, approvals, PostgreSQL storage, and C#-based activity recording.
Learn how to systematically review AI agent-generated pull requests for scope, code quality, test coverage, security risks, and deployment readiness.
Learn how to evaluate AI agents with realistic software development tasks, reproducible environments, acceptance criteria, and workflow-based testing.
Learn how to design an AI coding agent that inspects repositories, validates code changes, analyzes Git diffs, and explains implementation decisions with evidence.
Learn how to track AI agent run costs by linking model, tool, and infrastructure usage to developers, projects, and engineering tasks.
Build recoverable AI agent workflows in ASP.NET Core by persisting task steps, safely retrying failed external API calls, and resuming work without duplicate operations.
Learn how to give AI agents temporary, policy-controlled access to cloud secrets with ASP.NET Core, C#, Azure Key Vault, and managed identities.
Learn how to track AI agent tool calls in ASP.NET Core with C#, correlation IDs, structured logging, execution status, and Entity Framework Core.
Build a human approval workflow for AI agents that propose production changes using ASP.NET Core, C#, Entity Framework Core, and auditable execution controls.
Learn how MCP servers expose tools to Claude, Copilot and ChatGPT, what the stateless 2026-07-28 spec changed, and how to build, connect and secure one in C#.
Learn how to design enterprise Agentic AI workflows with .NET, Azure OpenAI, and multi-agent orchestration, including architecture, coordination, security, and integrations.
Learn how to build an AI agent API with ASP.NET Core and Azure OpenAI, including architecture, tool integration, authentication, and enterprise deployment preparation.
Learn how to migrate an existing Amazon Bedrock AgentCore project to CLI 1.0 by reviewing configuration, credentials, commands, deployment scripts, and CI/CD workflows.
Learn how to use AI-assisted GitHub workflows to collect CI failure details, analyze build and test logs, and produce actionable troubleshooting reports.
Build a read-only MCP server in .NET 10 and ASP.NET Core that lets Claude Code or GitHub Copilot query PostgreSQL without exposing update, delete, or arbitrary SQL tools.
Learn how to secure, govern, test, approve, deploy, and monitor Microsoft Copilot Studio agents for enterprise production use.
Build an AI agent with Microsoft Agent Framework and expose it through an ASP.NET Core Web API using an Azure OpenAI-compatible model endpoint.
Learn how agentic AI differs from traditional and generative AI, and how AI agents can investigate threats, use security tools, and support incident response.
Build an HTTP-triggered .NET Azure Function that communicates with Azure AI Agents, manages agent threads and runs, and supports secure enterprise tool integrations.
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