Microsoft Agent Framework: Agents on Azure Functions with Durable Task Scheduler
Explores hosting Microsoft Agent Framework on Azure Functions using Durable Task Scheduler (DTS) as the backend, highlighting setup, benefits, and dashboard features.
Explores hosting Microsoft Agent Framework on Azure Functions using Durable Task Scheduler (DTS) as the backend, highlighting setup, benefits, and dashboard features.
Guide to hosting Microsoft Agent Framework agents on Azure Functions with .NET, using Durable Functions for state persistence.
Explores building AI agents using RAG, tool calling, and memory, with practical insights from a key paper and Anthropic's SDK.
Tips for writing effective agent skills, covering structure, descriptions, and instructions for better AI performance.
An overview of coding agent components, including tools, memory, and repo context, to enhance LLM performance in software development.
Analyzes the '2028 Global Intelligence Crisis' thesis, arguing AI's compression of software development towards sameness, not just acceleration.
David Crawshaw reflects on the joy and exploration AI agents bring to programming, while acknowledging broader societal fears about AI.
Steve Yegge discusses evolving the Beads CLI for AI agents by implementing their 'hallucinations' to create a natural interface.
Steve Yegge discusses evolving the Beads CLI for AI agents by implementing their 'hallucinations' to create a natural interface.
The article compares AI agent security to early e-commerce, arguing we need a multi-layered security stack (supply chain, prompt defense, sandboxing) to make agents trustworthy.
A guide on using Google Antigravity to build and customize agents for IBM's watsonx Orchestrate platform, leveraging MCP and AI development tools.
A guide to building AI agents using the Gemini Interactions API, covering core concepts and a step-by-step CLI implementation.
A look at key AI trends for 2026, focusing on verifiability, continuous agents, and vertical problem-solving.
A month-by-month recap of 2025's AI landscape, focusing on reasoning models, agents, efficiency breakthroughs, and industry shifts.
A 9-tier framework for measuring personal AI progress, from basic chatbots to advanced AI companions with deep context and autonomy.
Analysis of MCP's advantages over OpenAPI, focusing on secure authentication and OAuth dynamic client registration for AI agents.
Explores building durable execution systems for agents using only Postgres, avoiding third-party services with a simple SQL library.
Explores using Pyodide to build AI agents that write temporary code for non-coding tasks, focusing on sandboxed execution and virtual file systems.
A developer describes how AI collaboration evolved into specialized writing agents, exploring consciousness and creative process in programming.
A speaker shares their experience presenting at CollabDays Finland 2025 on building M365 Copilot extensions with the Agents SDK, including slides and demos.