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New tool Gnaw packages code repos for LLMs with speed and secret scanning

The author developed a new tool called Gnaw, designed to efficiently package code repositories into prompts for large language models. This tool addresses limitations in existing repo-to-prompt solutions by offering speed, interactive token cost visibility, and secret scanning capabilities. Benchmarks indicate Gnaw is significantly faster than some competitors and on par with others, particularly when comparing scanning features. AI

IMPACT This tool could streamline developer workflows by improving how code context is provided to LLMs.

RANK_REASON The item describes a new software tool for developers, not a frontier model release or significant industry event.

Read on dev.to — LLM tag →

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

New tool Gnaw packages code repos for LLMs with speed and secret scanning

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item describes a new software tool for developers, not a frontier model release or significant industry event.
Source corroboration
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.
Topics
product, infra
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
89 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Artur Daschevici ·

    Choosing what the model sees: a repo-to-prompt tool for 2026

    <p>For about a week I told people my tool packed the Next.js monorepo in 7 to 10 seconds. The real number was 1.6.</p> <p>I was reading the wrong line of the benchmark output. <code>time</code> gives you user time and wall time, and I'd been quoting user time, which is CPU-second…