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The author argues that Large Language Models (LLMs) like Claude are generating unnecessarily verbose and inefficient code patterns that increase token consumption costs, particularly expensive output tokens. They identify that modern web runtimes like Deno already provide native Web API implementations that eliminate the need for translation layers or dependencies, yet LLMs continue suggesting outdated or redundant solutions. The author advocates for code style optimizations and leveraging existing platform capabilities to reduce token usage and costs while improving code quality.
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