Explores how clear communication and context design improve AI and human team output, drawing parallels between prompt engineering and management.
Proposes treating AI coding assistant instructions as versioned, shared infrastructure to encode team standards and ensure consistent code quality.
Coding challenge to recover exploded bar chart data and earn a spot at CODE100 in Berlin.
Explores the parallels between Y2K preparation and the need for post-quantum cryptography, warning of financial collapse if unprepared.
Explores the risks of using AI to both create and test software, creating an echo chamber effect.
Symfony Docker update introduces sandboxed coding agents, Dev Containers, Xdebug, hot reloading with FrankenPHP, and production-ready rootless images.
Analysis of a Morse code decision tree design that fits compactly into a circle using horizontal and vertical paths.
Explains open source governance models like BDFL, meritocracy, and do-ocracy, focusing on who decides and how in tech projects.
Guide to installing Copilot Studio Agents in Microsoft Teams, including a workaround when the installation fails.
Explains the C4 model for creating clear, multi-level software architecture diagrams to improve communication across teams.
Explores idempotency in system design, its patterns, and critical role in reliable distributed systems, generative AI, and AI agents.
Explains grounding in LLMs: connecting them to reliable data for accurate, context-aware responses using techniques like RAG and fine-tuning.
Explains Docker's layer caching mechanism and how to bypass it using --no-cache for reliable builds.
Building a prompt evaluation system with Spring AI and Claude to measure and improve prompt quality through automated testing and reporting.
Learn how to build a prompt evaluation system using Spring AI and Claude, covering datasets, graders, and workflows.
Learn how to build a GitHub repository summarizer using ClaudeAgent Skills, including architecture, setup, and script integration.
A complete walkthrough on building a Claude Agent Skill using Java, covering setup, prerequisites, and project structure.
Analysis of why AI-driven cost reductions won't kill SaaS, arguing that building software is easy but maintaining and scaling it is hard.
Explains Bash nameref (local -n) for mutating function arguments with pointer-like behavior, useful for avoiding globals and subshells.
Explores three common but misleading answers QA professionals give about AI's impact on testing, using Maslow's Hammer as a critique.
