Learn it from developers who built it.
Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
Master AI cost optimization in .NET. Learn token management, prompt engineering, caching, and model selection for sustainable AI.
Discover MCP Servers for secure AI agent tool integrations. Standardize, simplify, and enhance security for dynamic external system access.
Master AI agent observability with practical .NET logging, tracing, and monitoring. Debug, optimize, and secure your AI systems effectively.
Build an AI Agent Marketplace with ASP.NET Core & Semantic Kernel. Discover, manage, and monetize AI agents efficiently for your organization.
Learn practical strategies for testing LLMs and AI agents for accuracy, relevance, safety, hallucinations, tool use, and production reliability.
Build your first Agentic AI app in .NET 10! Learn to create intelligent agents that plan, use tools, and act autonomously. Step-by-step guide.
Explore AI-Native Architecture: designing apps around agents, memory, and intent for an agent-first world. Learn key principles.
Unlock AI potential with essential components & architecture of AI Engineering Platforms for scalable, secure, and efficient AI development.
Learn how to build AI agents with Google ADK and Python, including agent components, tool integration, memory, task workflows, and multi-agent collaboration.
Master AI observability with OpenTelemetry. Monitor LLM workloads, track token costs, optimize performance, and troubleshoot faster for production-ready AI.
Learn how coordinated AI agents can discover operational data, build governed enterprise data warehouses, validate results, and support executive reporting.
Compare LangGraph and CrewAI for enterprise AI. Explore architectures, strengths, and weaknesses to choose the best multi-agent framework.
Build intelligent AI agents with Google's ADK. Automate tasks, use tools, and create multi-step workflows for production-ready applications.
AI Gateways centralize AI access for enterprises, enhancing security, governance, and cost management for critical applications.
Enhance code quality & security with AI-powered reviews using GitHub Models. Automate checks, boost productivity, and accelerate delivery.
Compare Temporal vs Dapr Workflows for distributed application orchestration. Choose the right platform based on complexity, scale, and ecosystem.
Unlock the power of modern AI search with vector embeddings. Understand how they represent meaning, enable semantic search, and drive RAG applications.
Explores how operational awareness helps enterprise AI agents understand time, projects, roles, dependencies, and evidence to execute work responsibly.
Securely contain autonomous AI with AgentFactory. Govern digital labor, enforce boundaries, and ensure auditable, reversible execution.
AgentFactory pioneers self-improving engineering by internalizing CI/CD, enabling autonomous, governed system evolution and repair.
AgentFactory transforms AI from chat to governed work. Enables auditable, accountable digital intelligence execution for enterprises.
Learn how to validate JWTs with API Gateway and enforce claim-based authorization, tenant isolation, and PHI controls in a serverless LangGraph RAG backend.
Master Temporal Workflows: Build reliable, fault-tolerant distributed apps with durable execution, automatic retries, and state management.
Learn about Model Context Protocol (MCP), a standardized way for AI agents to connect with tools, databases, and APIs, simplifying development and enhancing capabilities.
Explores how humanoids & ASI could trigger a Marxist crisis, challenging value theory & potentially overthrowing capitalism.
Evaluate AI agent tool selection quality for credit card systems. Focus on process, not just outcome, for safety and efficiency.
Discover how cascading reasoning failures in multi-agent AI systems can be traced and prevented in retail using shared state and reviewer agents.
Leverage AI for release impact forecasting in enterprise development. Predict risks, identify affected services, and optimize deployments.
Secure AI agents on sensitive APIs & IoT data with multi-layered guardrails: IAM, DLP, action limits, and HITL for safe enterprise deployment.
AI agents are poised to revolutionize work, replacing apps and workflows. Learn how the agent economy restructures operations for outcome-driven efficiency and governance.
Everything on AI Agents, not only its articles: the AI Agents page →
DevSocialUpcoming · 3rd editionAI Agents ConferenceNov 23–27, 2026Live onlineMembers only16days leftRegisterMembers onlyWrite an article and earn +1,000 SHARP when it is approved.
Write an article