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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Stop hand-coding the Japanese Rokuyo calendar: LLM-generated lunar logic silently breaks

    Developers building applications for the Japanese market are encountering subtle bugs when using LLM-generated code for the Rokuyo calendar, a traditional six-day cycle used to determine auspicious dates. The core issue lies not in the Rokuyo calculation itself, but in the LLM's inaccurate conversion of Gregorian dates to the Japanese lunar calendar, which requires precise astronomical calculations. This inaccuracy leads to silent failures, miscalculating specific dates and potentially causing significant problems for users, such as recommending incorrect auspicious days for events. AI

    IMPACT Highlights the need for robust date/time handling in LLM-generated code, especially for culturally specific applications, and points to specialized APIs as a solution.