Move beyond simple chatbots. Discover the top architecture patterns for deploying secure, autonomous Azure AI Agents in your enterprise applications for 2026.
AI agents
Tired of dependency hell and ‘It works on my machine’ errors? Learn why Python Poetry has replaced pip and requirements.txt as the enterprise standard for AI agent development in 2026.
Discover the architectural differences between LangGraph and Azure AI Agents for building multi-agent workflows. Learn when to choose graphs-as-code versus managed cloud assistants in production environments.
Learn how to build your first autonomous AI agent from scratch using Python and Azure OpenAI. Discover the core execution loop, tool calling, and why enterprise developers choose Azure over native OpenAI.
Google just released a game-changing update to Gemini in Chrome: Skills. This new feature lets you save and reuse powerful AI prompts across multiple tabs with a single click. Here is a complete guide to building your own AI workflows directly inside the browser.
Learn how to build your own Personal Wikipedia (LLM Wiki) using AI agents, based on Andrej Karpathy’s open-source architecture.
Stop AI agents from burning your cloud budget. Learn how to implement stateful circuit breakers and fix multi-agent infinite loops in production.
Production AI agents fail silently without durable memory. Discover 7 critical Cosmos DB design patterns to scale Azure AI workflows and control your costs.
Implicit identity assumptions expose AI systems to privilege escalation. Learn 7 critical Azure AD B2C controls to secure your production AI agent workflows.