A guide on making remote work visible by sharing progress openly, avoiding surprises, and gaining recognition through transparent communication.
Tips for building a successful open source software community based on 15+ years of experience with the Critter Stack tools.
Explores how coding agents change software library documentation, focusing on making libraries agent-friendly rather than human-friendly.
Reflection on LLM-built projects and the question 'Now what?' after creation, focusing on purpose and ethics.
Using Just as a command runner and documentation tool for bootstrapping a Kubernetes homelab.
A weekly update on SkillsBar v1.7.0 release, Vale linting fixes, and AI eval exploration for documentation.
Explores documentation discoverability for search crawlers, schema parsers, and AI agents, beyond just human readers.
Explains Architecture Decision Records (ADRs), short documents capturing key software decisions, their context, and rationale for teams.
A balanced perspective on using AI as a tool, discussing when it's useful and wasteful, with examples from web browser documentation work.
A developer explains how they created tools to feed official Aspire documentation to AI agents, solving the problem of outdated AI recommendations.
A developer's 2025 year-in-review focusing on AI documentation projects, including LLMs.txt generation and Kapa AI integration for Expo docs.
Explains the purpose and structure of a Workload Architecture Design Specification, emphasizing clarity and the Azure Well-Architected Framework.
The author describes their work improving Git's official documentation, including creating a new data model document and updating core man pages.
Overview of official documentation, learning resources, and training materials for Microsoft SQL Server 2025.
Explains how smart quotes from apps like Notion can break code snippets in docs and how to use the Vale linter to catch them automatically.
A guide to implementing a 'copy as markdown' button for dynamic content in an MDX-based Next.js documentation site.
Argues that AI in software development should focus on automating non-coding tasks like meetings, docs, and testing, not just speeding up coding.
Announcing updates to HTML Minifier Next: better minification, improved CLI, clearer docs, and a switch to Lightning CSS for CSS processing.
Explores the value of non-code contributions in open source, emphasizing that skills like documentation, testing, and design are vital.
A developer reflects on how over-reliance on LLMs like Claude for coding tasks is making them impatient and hindering deep learning.
