Technical writing roles.
4d ago · 16 min read · There is a quiet assumption embedded in most data pipelines: that text is text. Ingest it, clean it, normalize it, send it to the model. The pipeline does not care whether the text is English from Lon
Join discussionMay 7 · 3 min read · Many developers are hesitant to upload sensitive project data or personal notes to the cloud for RAG (Retrieval-Augmented Generation). The solution is a Local-First Agent: a system that lives and work
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May 7 · 3 min read · As developers, we often get caught up in the "how" of coding—syntax, libraries, and deployment—while neglecting the "why" of system architecture. To build AI agents that actually solve complex problem
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May 7 · 3 min read · The AI landscape is currently undergoing a massive shift from "Chatbot-centric" design to "Agent-centric" architecture. However, as developers scale these systems, they hit a common wall: integration
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May 3 · 6 min read · The Problem Nobody Talks About Before you can fine-tune a language model on Yoruba, Igbo, or Hausa data — you have to clean it. And cleaning African language data is a uniquely messy problem. Unlike E
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