Worked on improving data integrity for temperature reporting in the mib1185/homeassistant-core repository by addressing how unavailable temperature data is handled from the HKO API. Implemented a backend update in Python that treats missing temperature values as None rather than defaulting to 0, which previously led to misleading 0°C readings in dashboards and automations. This change involved careful API integration and defensive validation to ensure regression safety and maintain reliability. The update enhanced the accuracy of weather data displays, reduced false alerts, and increased user trust in temperature-based automations, reflecting a thoughtful approach to backend development and data quality assurance.