The logs show the AOT DLL properly routing the request:
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DJI 로봇청소기 7000대, 개발자 1명에 ‘뚫린’ 보안…집 내부 노출 우려
The most obvious solution here was to rewrite each of these backend C# systems as Unreal C++ code. This would be an incredibly risky undertaking. There were hundreds of backend APIs that needed to be converted like this. Furthermore, each of these APIs relied on complex interlocking logic systems powered by the aforementioned custom conditional language. The C++ code would also need to be able to parse and understand this language to support all the existing content. Without our established C# test suite, it would be extremely tricky to pin down functionality and make sure every edge case was accounted for. Was this even possible in just 6 months?
One of the flashiest ways Good Inside is serving parents at the moment is with its AI chatbot GiGi. Kennedy says she’s “pragmatic;” she knows parents are asking ChatGPT and Claude their middle-of-the-night and mid-meltdown questions. She envisions GiGi as a trusted space for parents; one that fosters more of a “two-way relationship” that connects the dots for users. “A parent might ask about three very different things in three different sessions, but on our end, we see the thread throughout, and can serve up what they might be missing and what might be a helpful next step,” Kennedy says. That kind of predictive support can help get parents out of “fire-extinguishing mode,” Kennedy says. “I always tell parents, better than knowing how to extinguish a fire is actually just having fewer fires.”