A daily tech link roundup covering .NET, AI agents, web development, Windows, and developer tools from March 10, 2026.
Explains how to secure outbound traffic from Azure Data Factory using a Self-Hosted IR, Azure Firewall, and Private Endpoints.
Microsoft announces new AI pricing with $99/mo E7 license and Agent 365, while comparing its Copilot to Anthropic's Claude Cowork.
Details the restructuring of the NetEscapades.EnumGenerators source generator package into three packages, aiming for a stable 1.0 release.
Explains nominal vs structural type equality in WebAssembly, focusing on the new 'tag' keyword for nominal typing.
Microsoft introduces an AI-powered self-service support agent in Entra admin center to help troubleshoot identity and access issues.
A developer reflects on a persistent coding bug in their personal site, questioning if human errors should be called 'slop'.
Explains how to use input and output plug-ins in IBM watsonx Orchestrate to enforce security, compliance, and safety guardrails for AI agents.
A developer details migrating a multi-service project to a proper monorepo structure using Nx and npm workspaces.
Author improves tcpdump and dig man pages by adding basic examples for beginners and infrequent users.
Explores how autonomous AI agents (autoresearch) can optimize small language models by running hundreds of experiments overnight, improving performance without human intervention.
Introducing Knuckledragger, a Python tool for refinement modeling and verification of RISC-V assembly code using symbolic execution.
A developer reflects on how AI coding assistants like Claude have replaced deep 'flow state' programming with fragmented, high-throughput 'air traffic control' work.
A guide to creating shell aliases for quickly checking outdated packages on Arch Linux, Debian/Ubuntu, and macOS.
A designer critiques the commercialization of AI and its ethical risks, especially regarding military applications.
A daily tech reading list covering SQL's resurgence, AI agent productivity, CI/CD at scale, Go for backend, and more industry insights.
A guide for engineering leaders on preparing their teams and organizations for the challenges and opportunities of AI adoption in software development.
A 30-day plan for Azure administrators to clean up, reset, and improve governance in a messy Azure environment using native tools.
Explains a trigonometric composition table and provides Python code to verify the identities.
Critique of the 'three pillars' observability model, arguing it destroys data context and relationships, making AI and engineering insights harder.
