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Malleable Software
In the AI era, the winners won’t be the tools you adapt to — they’ll be the tools that adapt to you. Let's take Linear. It is a beautiful, well-designed, simple but inflexible tool with little room for AI to add value. AI thrives in messy, open-ended spaces where
At best, AI might shave a few seconds off repetitive tasks or auto-fill a few fields, but it can’t reinvent the core process, because the tool doesn’t allow it. (c) Alex (from Fibery) The biggest shift LLMs bring to malleable software is moving the focus from designing the solution to defining the problem. Rigid tools won’t vanish completely — some industries will still prize absolute standardization over adaptability — but for most use cases, they’ll be relics of a pre-AI era.
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