AI engineer Khairallah Al-Awady highlights a free 30-minute workshop led by Claude Code’s creator, showing how to unlock 40 underused Claude commands. He follows up with a detailed guide listing those commands, workflows, and automations to boost daily productivity.

This article examines how AGENTS.md files impact AI coding agents, showing that well-structured agent docs can boost code quality by up to 15% while poorly designed ones can hurt performance. It outlines seven patterns that work—like progressive disclosure, step-by-step workflows, decision tables, real-code examples, and pairing “don’ts” with “dos”—and warns against overexploration from excessive context or warnings.

Prompt Opinion lets healthcare organizations plug in interoperable AI agents, tools, and standards into real workflows. It uses MCP, A2A, and FHIR to connect EHRs, policies, and data, turning standalone agents into production-ready tasks like prior authorizations, trial matching, and population health analyses.

This article discusses a live session with Alejandro Aboy, a Senior Data and AI Engineer, about the evolving role of data engineers in the context of AI. Alejandro emphasizes that strong data engineering skills, particularly data modeling and orchestration, are crucial for successful AI work and shares practical steps for integrating AI into existing data workflows.

This article discusses the need for new workflows in product development as traditional methods like Agile and PRDs become obsolete. It highlights the shift in how teams work, emphasizing the importance of tools that adapt to modern, nonlinear processes. The author argues for a new structure that aligns with current realities rather than outdated practices.

The Compounding Engineering plugin enhances development workflows by systematically improving the planning, execution, and review stages of coding. It leverages AI to create comprehensive issues, manage isolated tasks, and conduct thorough code reviews, ensuring that each unit of engineering work makes future tasks easier. By documenting processes and refining quality, this tool aims to build a more efficient development system over time.

Durable Execution (DE) engines allow for the persistence of multi-step workflows, enabling them to resume from the last successful step after interruptions. This article explores the development of a simple DE engine called Persistasaurus in Java, which utilizes SQLite for logging execution state and highlights key implementation choices.