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A practical mental model for developers: understand LLMs, AI agents, function calling, and why coding agents built on the same model behave differently.
Read more: LLMs vs AI Agents: A Practical Mental Model for DevelopersA practical guide to Playwright CLI for AI agents: run browser actions from the terminal, load Playwright Skills, mock APIs, capture traces, and build isolated agentic tests.
Read more: Playwright CLI, Skills and Isolated Agentic TestingA pragmatic analysis of agentic software development in 2026: real productivity gains, enterprise constraints, code review challenges, and why architecture, testing, and process discipline matter more than ever.
Read more: The Current State of Agentic Software DevelopmentLearn what AI testing skills are and how they differ from RAG, MCP, and tool calling. A practical guide to building efficient AI testing agents with reusable playbooks.
Read more: AI Testing Skills: The Evolution Beyond RAG and MCPWhy AI coding is moving back to the terminal. A practical look at AI CLI agents and terminal-based AI coding assistants, multi-repo workflows, microservices, architecture-first thinking, and verification-driven development.
Read more: Why AI Coding Is Moving Back to the Terminal (CLI Agents)