
AI Coding Agent Cost Ledger: Track Expensive Sessions
A coding agent can ship a tiny diff while racking up mystery invoices. Learn how to build a cost ledger that explains which sessions were worth it and which patterns should never become default.

Navigate Anthropic's mandatory 30-day data retention for Fable and Mythos with this practical implementation guide covering architecture, automation, and compliance.

Query strings create caching nightmares, SEO problems, and security risks. Here's why I banned them entirely and how clean URLs transformed my web architecture for better performance.

OpenClaw builders are gathering at GitHub headquarters during Microsoft Build 2026 for exclusive demos and developer conversations. Secure your spot now or tune into the livestream.

Open source maintainers keep the software ecosystem running. Learn what challenges they face, how GitHub supports them, and practical ways you can contribute to sustainable open source.

The Zig project's controversial ban on AI-generated contributions sparked debate about code quality, maintainability, and the future of open-source development in the AI era.

You're not stuck because you're underqualified. You're stuck because you refuse to be seen as anything less than perfect. Here's how perfectionism destroys developer careers.

The West lost manufacturing expertise when factories moved overseas. Now coding skills face erosion through AI dependency, framework reliance, and shallow learning that prioritizes tools over fundamentals.

Tech projects fail not from lack of skill, but from self-sabotage. Overthinking, scope creep, and structural diffing kill momentum and prevent shipping. Here's how to break the cycle.

George Orwell's "Why I Write" (1946) offers unexpected insights for modern developers and tech writers. His principles about clarity and purpose apply directly to code and documentation.

Master the fundamental laws of software engineering that transcend frameworks and trends. Learn principles like Conway's Law, Brooks's Law, and the Pareto Principle to build better systems.

AI tools have changed how developers write code, but scaling requires discipline. Spec-driven development brings structure back to AI-assisted coding workflows.