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AI · May 30, 2026

ContextSniper

Smart task-driven LLM context optimizer

ContextSniper launched on May 30, 2026 with 2 votes, #6,288 of 20,538 launches that month.

What it does

Contribute to egn-labs-dev/ContextSniper development by creating an account on GitStop dumping your entire codebase into Claude or ChatGPT. ContextSniper is a 100% local CLI tool that uses the BM25 algorithm and dependency graphs to extract ONLY the relevant files for your prompt. If the code exceeds your token budget, it automatically strips files down to class and method signatures. Save money, reduce API bills, and fix the "Lost in the Middle" effect in under 250ms.Hub.

🎯 A 100% local CLI tool to extract ONLY relevant code for your LLM prompts using BM25 ranking and AST dependency graphs. - egn-labs-dev/ContextSniper

Stop wasting money and token limits by dumping your entire codebase into Claude or ChatGPT. ContextSniper uses a BM25-inspired Ranking Algorithm and Dependency Graph Traversal to extract only the highly relevant files and signatures needed for your specific task. Standard context tools act like dump trucks: they take your entire src/ folder and throw 200,000 tokens into your LLM. The result? LLMs hallucinate, lose focus on instructions hidden in the middle of long contexts, and cost you $2 per prompt. ContextSniper acts like a sniper rifle. You give it a target task ( "fix auth middleware" ), and it selectively extracts only the 5-10 files that matter, keeping your context under a strict…from github.com

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