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2h ago · 7 min read · If you’ve ever thought, “How hard could it be to make tool responses stream from an LLM agent in TypeScript?”—strap in. I’ve been there, and when we flipped that switch from simple, single-shot responses to streaming, our agent basically fell over. E...
Join discussion13h ago · 7 min read · Curious if an LLM can actually design a relational schema that works beyond a toy blog app? Me too. So I handed over the keys to a generative AI agent—gave it just a business description and asked for a SQL schema from scratch. The results? Surprisin...
Join discussion1d ago · 5 min read · Most Retrieval-Augmented Generation (RAG) tutorials make it look like moving from a Jupyter notebook to a full-blown production app is a walk in the park. Spoiler: it’s not. When you take your RAG code live, all sorts of gremlins crawl out—data incon...
Join discussion2d ago · 6 min read · Ever watched an AI chatbot book a flight or answer a question using live data, and thought: “How is it actually doing that?” It’s not magic, it’s tool-calling. Under the hood, LLMs like GPT-4 or Claude are orchestrating API calls, parsing responses, ...
Join discussion3d ago · 6 min read · Ever tried building an AI data pipeline and felt buried under a stack of frameworks you barely understand? I’ve been there. The thing is, you don’t always need a fancy toolkit or a massive orchestration system to get real work done. Sometimes, plain ...
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