Senior engineers struggle with AI agent development due to ingrained deterministic habits, contrasting with the probabilistic nature of agent engineering.
A step-by-step tutorial on building a functional AI agent using the Gemini 3 Pro model and Python, covering core concepts like tools, loops, and context.
Discussion on Kubernetes' suitability for AI workloads and Google's new AI agent technology, following KubeCon 2025.
Guide to using DevUI and Microsoft Agent Framework for debugging and visualizing AI agents in .NET applications.
Experiment testing if AI vision models improve SVG drawings of a pelican on a bicycle through iterative, agentic feedback loops.
Weekly summary of AI industry trends covering enterprise adoption, chip manufacturing, regulation, robotics, and major company announcements.
The article argues that writing a simple AI agent is the new 'hello world' for AI engineering and a surprisingly educational experience.
Moonshot AI's Kimi K2 Thinking is a 1 trillion parameter open-weight model optimized for multi-step reasoning and long-running tool calls.
A technical guide exploring GitHub's new Agentic Workflows, which integrate AI agents into GitHub Actions for adaptive, intelligent automation.
Explores GitHub Copilot's new custom agents feature, detailing how to create specialized AI coding assistants for specific workflows and frameworks.
Learn how to use Background Responses in .NET's Microsoft Agent Framework to maintain AI agent state and resume interrupted tasks using continuation tokens.
A timeline and analysis of major generative AI model releases and a security framework for AI agents from late 2025.
A guide on teaching the Kiro AI agent to work with custom libraries and DSLs using steering files and the Model Context Protocol (MCP).
Argues against using API keys for securing enterprise AI tools like LLMs and agents, highlighting security flaws and recommending better alternatives.
A technical guide on automating presentation creation using Microsoft Agent Framework, Azure OpenAI, and the GAMMA API.
A comprehensive overview of over 50 modern AI agent benchmarks, categorized into function calling, reasoning, coding, and computer interaction tasks.
Learn to build AI agents in C# using Microsoft Agent Framework and Hugging Face MCP tools for image generation and analysis.
Explores the evolution from simple, stateless AI agents (Agent 1.0) to advanced, deep agents (Agent 2.0) capable of complex, multi-step tasks.
Explores the concept of AI Agents, defining them and examining their role in the AI ecosystem, with references to LangChain and Anthropic.
Microsoft's new open-source Agent Framework combines AutoGen and Semantic Kernel for building intelligent, multi-agent AI applications.
