A developer has published an 8-article series tackling the perennial problem of handling dates, times, and timezones in software. Born from the challenge of building a DateTimePicker, the series moves from foundational concepts to practical implementation across the stack. It argues that common bugs stem from a fundamental misunderstanding of what a date actually represents.

The series provides a shared vocabulary for Instant, Local Date, and Zoned DateTime, explaining why "10:00" means different moments globally. It dissects why vague deadlines fail and why storing `local + timeZoneId` preserves user intent better than pure UTC. Articles cover Daylight Saving Time edge cases and the semantics of global versus local events.

Practical guidance spans backend, database, and frontend layers. It demonstrates using NodaTime in .NET, correctly storing time in PostgreSQL (avoiding `timestamptz` pitfalls), and implementing the Temporal API in JavaScript. The goal is to build a complete mental model, ensuring DateTimePicker displays match what gets stored, preventing systems from lying to users.