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.

Docglow replaces built-in dbt docs with an interactive single-page app that works out of the box with any compiled dbt Core project. It generates a static site featuring unlimited models, column-level lineage, project health scores, full-text search, AI-powered chat, and dark mode with zero configuration.

Feedback is valued and taken seriously, with an emphasis on user input for improvements. For detailed information on available qualifiers, users are directed to the documentation. An error occurred while loading the page, prompting a reload.

User feedback is highly valued and taken seriously by the team. For a comprehensive list of available qualifiers, users are directed to the documentation. An error occurred while loading the page, prompting a reload.

Career advancement in software development often leads to a choice between management and architecture tracks. While management focuses on people and processes, the architect role emphasizes coding and effective communication of ideas, requiring strong documentation skills to facilitate collaboration. This article provides insights on writing effective documents to enhance communication and influence within teams.