Explores how AI agents can capture organizational knowledge from work interactions, proposing a review process to update guidance.
Exploring how AI agents enable safe big-bang migrations, with a case study of rewriting Bootstrap to Tailwind in one massive pull request.
A curated collection of IT/tech links covering .NET, AI agents, web development, Windows tools, and cloud computing updates.
Explores event-driven table compaction using agents in lakehouse architectures, focusing on small file problems and production patterns.
How to wire AI agents and webhooks around a small startup's ops using Discord for real-time monitoring and team collaboration.
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.
