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Remove emoji from context engineering description in README
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@@ -26,7 +26,7 @@ Works with VS Code family of editors (Cursor, Antigravity, VSCodium, etc.).
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Coding agents address this limitation via so-called tool calling. The model starts each task from a clean slate, deciding by itselft what files are necessary based on the provided instructions. This puts pressure on your prompting skills and effort, also on model itself because file-collecting self-dialogue is a complexity added to the primary task.
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**CWC proposes an alternative, more mindful 🧠 approach through context engineering.** Pick files and be certain what the model gets to see. Type simpler instructions and get edits in seconds with accuracy that can't get any better!
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**CWC proposes an alternative approach through context engineering.** Pick files and be certain what the model gets to see. Type simpler instructions and get edits in seconds with accuracy that can't get any better!
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With files sorted by update recency, CWC helps utilize **[prompt caching](https://platform.openai.com/docs/guides/prompt-caching) across tasks**—consistently **save up to 90% on input tokens**, while reserving the more expensive output tokens for task-focused reasoning and code changes you're looking for.
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