· 6 min read
Why We Open-Sourced Our Time Engine but Not Our Safety Layer
Open-core means drawing a line. Here's why computation is open (trust demands it) and safety is commercial (sustainability demands it).
· 6 min read
What We Learned Running 10,000 Property-Based Tests Against a Calendar Engine
Property-based testing caught DST double-counting, leap year edge cases, and RRULE bugs that unit tests missed. Here's our proptest setup.
· 3 min read
What is TOON? A Token-Efficient Format for AI Agent Data
TOON reduces calendar payloads by ~40% vs JSON. Here's how it works, when to use it, and why it matters for AI agent context windows.
· 4 min read
Introducing the Truth Engine: Deterministic RRULE Expansion
Why we built a Rust-based RRULE expansion library with 9,000+ property-based tests — and why AI agents need it.