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How I Built a Zero-Dependency Token Compressor for AI Coding Agents (During My High School Exams) (opens in new tab)

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as developers, we are spending more and more time working alongside AI coding agents like Cursor, Claude Code, GitHub Copilot, Windsurf, or Cline. But as your session grows, you quickly run into two major problems: Context Window Inflation: Long-running loops, verbose model reasoning, and unfiltered terminal log dumps clog the context window, causing the LLM to get "lost in the middle" and start hallucinating. Financial Overhead: Large context windows mean higher token usage, which translates...

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