AI Summary
→ WHAT IT COVERS Changelog News host reviews the best code projects, articles, and podcast episodes from each month of 2025, highlighting trends in AI tooling, developer workflows, and open source. → KEY INSIGHTS - **AI Training Data Bias:** AI coding assistants recommend outdated patterns like VARCHAR(255) and serial types because training data cutoffs prevent them from learning current Postgres best practices, creating technical debt at scale. - **URL State Management:** URLs function as built-in state containers that eliminate need for complex libraries like Redux or MobX, providing persistent shareable state without additional dependencies or configuration overhead. - **Automation ROI Formula:** Calculate automation value using: (task value × iterations) minus (automation effort + maintenance costs + documentation costs + mistake costs) plus or minus long-term effects to determine worthwhile automation targets. → NOTABLE MOMENT The host reveals how 37signals apps like Campfire and Writebook use progressively modern vanilla CSS without build tools, proving complex toolchains are often unnecessary for production applications. 💼 SPONSORS [{"name": "Tiger Data", "url": "https://tigerdata.com/blog"}] 🏷️ Developer Tools, AI Coding Assistants, Open Source