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We discuss how LangChain, a tool that started as a hacky side project by software engineer Harrison Chase in late 2022, became the dominant framework powering half of all LLM applications. We explore how Harrison open-sourced a simple script to chain model calls together, which wasn't polished but worked effectively. We talk about how LangChain democratized AI app development by letting developers quickly combine models, tools, and memory, transforming building LLM apps from a PhD-level task to a weekend project. We highlight how Harrison's approach of shipping fast, iterating publicly, and taking feedback allowed LangChain to evolve organically and become the default choice for startups, hackathons, enterprises, and prototypes. We emphasize how LangChain's success came from being fast, first, and useful rather than perfect, and how it transformed prompting into real software engineering. #LangChain #AI #LLM #SoftwareEngineering #HarrisonChase #OpenSource #AIApps #StartupStory #Innovation #Shipping #DeveloperTools #MachineLearning #techhistory