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4 Surprising Lessons from a 100- Line LLM Framework

··5 mins
If you’ve spent any time building with large AI frameworks, you’ve likely felt the pain. You start with a simple goal but quickly find yourself wrestling with bloated abstractions, mysterious dependency conflicts, and rapidly changing interfaces that leave documentation in the dust. You’re not alone. “LangChain was helpful at first when our simple requirements aligned with its usage presumptions. But its high-level abstractions soon made our code more difficult to understand and frustrating to maintain.”