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Working with coding agents has shown how clear specifications can be just as important as writing the code itself.
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RAG turns impressive AI into useful AI by connecting language models to the right information at the right time.
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The Model Context Protocol helps turn AI from a passive text generator into an active participant in real workflows.
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Working with LLM APIs shows how AI becomes far more flexible when it is integrated directly into software workflows.
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Coding agents have become a practical part of development work, especially when paired with clear instructions and realistic expectations.