An in-house stack becomes a liability when only one or two people understand it, creating a single point of failure. For sustainable scaling, especially when adding complex features like AI/ML or real-time data pipelines, consider involving experienced partners to ensure cross-disciplinary execution and production-readiness are built into the architecture from the start.
An in-house stack becomes a liability when only one or two people understand it, creating a single point of failure. For sustainable scaling, especially when adding complex features like AI/ML or real-time data pipelines, consider involving experienced partners to ensure cross-disciplinary execution and production-readiness are built into the architecture from the start.
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An in-house stack becomes a liability when only one or two people understand it, creating a single point of failure. For sustainable scaling, especially when adding complex features like AI/ML or real-time data pipelines, consider involving experienced partners to ensure cross-disciplinary execution and production-readiness are built into the architecture from the start.
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