Explains what open source foundations like Apache, Linux, and Eclipse actually do, focusing on governance differences and their impact on software projects.
Explains the fundamental divide between operational (OLTP) and analytical (OLAP) systems, the physics enforcing it, and the truth about hybrid architectures.
Explores context engineering for AI agents, comparing personal vs. shared context to prevent failures in human and organizational AI use.
Analysis of five lakehouse table formats (Iceberg, Delta Lake, Hudi, Paimon, DuckLake) in 2026: how they work, current status, and future directions.
Explores semantic layers in data platforms, their role in ensuring metric trustworthiness, and their critical importance for AI agent accuracy.
Deep dive into designing custom AI agent harnesses, covering architecture layers like loops, tools, context, and control for production systems.
How to use AI coding agents like Claude Code and Codex for deterministic data engineering, ensuring reproducibility and trust.
Historical comparison between 18th-century suppression of Diderot's Encyclopédie and modern debates over open AI models, exploring knowledge access politics.
Learn how to use ArchUnit for architecture testing in Java to enforce code structure rules and prevent architectural erosion.
A developer explores automating coding tasks using AI agents to reduce personal involvement in routine work.
Learn how to run local AI models for Copilot tasks using Ollama, Foundry, and Azure OpenAI proxies in VS Code.
GExperts now allows exporting and importing complete configuration as a ZIP archive, simplifying setup transfer across Delphi versions.
Overview of new Azure hybrid management and security updates, including Azure Arc, Kubernetes Fleet Manager, and Defender for Cloud enhancements.
Guide to setting up Microsoft Entra Agent ID for AI agent identity governance, including blueprint creation, authentication, and hardening.
Explores whether additional data always reduces posterior variance in Bayesian statistics, with beta-binomial and normal-normal examples.
Explores harness engineering in AI, focusing on recursive self-improvement and design patterns for deployment systems.
Analysis of newer AI models producing worse tool call accuracy, specifically Claude models inventing extra fields in Pi's edit tool.
Critique of Anthropic's Claude Electron Mac app as a poor native experience, questioning why AI leaders still use Electron.
Summary of top tech links for July 3, 2026, covering AI, cloud development, .NET, DevOps, and mobile tech.
A critical look at why 98% support for web features isn't enough, emphasizing graceful degradation and edge cases.
