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Stop Writing Prompts. Start Writing Context
TL;DR: The story argues that shift from prompting to context-rich AI development. Providing comprehensive context improves AI decisions more than simply crafting prompts.
Prompt engineering has limits; the AI's knowledge gap is the real bottleneck. Treat prompt as one component, while supplying full context—code, docs, data schemas, history, and tool outputs—yields far better results. Context isn’t just longer text; it includes everything the model can leverage. Modern AI apps feel smarter because they deliver richer, actionable context (including RAG, memory, and specs) rather than relying on prompts alone.
Question for the room: What concrete context sources do you rely on to improve AI outcomes in your projects, and how do you integrate them?
— via dev.to
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