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15-year-old engineer cuts AI coding token usage by 90% with T-Zero

By PulseAugur Editorial · [1 sources] ·

A 15-year-old software engineer named Toprak has developed T-Zero, an open-source tool designed to significantly reduce the token usage of AI coding assistants. T-Zero works by pruning codebases down to their Abstract Syntax Tree (AST) interface skeletons, achieving an 88% reduction in token count on a large repository. This method drastically lowers the cost and improves the efficiency of using AI tools like Cursor+ and Claude Desktop for large codebases, with a setup time of under 30 seconds and local processing under 400ms. AI

IMPACT Reduces AI coding assistant costs and improves efficiency for developers working with large codebases.

RANK_REASON The item describes a new open-source tool for optimizing AI coding assistants.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

15-year-old engineer cuts AI coding token usage by 90% with T-Zero

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36 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
The item describes a new open-source tool for optimizing AI coding assistants.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Toprak ·

    How I Cut AI Coding Token Usage by 90% Using Local AST Pruning (At Age 15)

    <p>Hey developers! 👋</p> <p>I'm Toprak, a 15-year-old software engineer from Turkey building open-source developer tooling at Siber Akademi.</p> <p>Like many developers using AI coding assistants like <strong>Cursor, Claude Desktop, and Windsurf</strong>, I constantly hit a major…

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