jevgrep: CLI for Coding Agents to Find Relevant Code

• Fact jevgrep is a CLI for coding agents that uses Jev to discover relevant files and source context[1]AIA CLI for coding agents that uses Jev to discover relevant files and source context
• Fact It reduces coding-agent cost by roughly 30%[1]AISame intelligence. ~30% lower cost.
• Fact In a ten-task SWE-bench comparison, Jevgrep completed 8 of 10 tasks at lower cost[1]AIIn our ten-task SWE-bench comparison, Jevgrep successfully completed the same 8 of 10 tasks as the baseline, at lower cost.
• Fact It outputs a summary, file list, source excerpts, and declaration/call locations[1]AIThe summary and compact file list come first, followed by selected source with line references, then detailed declaration and call locations.
• Fact It supports declaration parsing for Python, TypeScript/JavaScript, Go, and Rust[1]AIPython, TypeScript/JavaScript, Go and Rust support declaration parsing; other text uses a fallback.
• Fact The GitHub repository dzhng/jevgrep was created on 26 Sept 2026 and had 2,054 stars on 2 Oct 2026.[1]
• Fact Its description reads: “Find code by asking what it does. A CLI for coding agents that uses Jev to discover relevant files and source context.”[1]
• Fact That is 2,054 stars in 7 days, an average of 309.6 per day.[1]

• Analysis Install the CLI via npm, add the agent skill to their project, and use jg to query repositories for relevant code snippetsAI
• Analysis Automatically detected from public activity data. Not yet reviewed by an analyst.

• Fact jevgrep is a CLI for coding agents that uses Jev to discover relevant files and source context[1]AIA CLI for coding agents that uses Jev to discover relevant files and source context
• Fact It reduces coding-agent cost by roughly 30%[1]AISame intelligence. ~30% lower cost.
• Fact In a ten-task SWE-bench comparison, Jevgrep completed 8 of 10 tasks at lower cost[1]AIIn our ten-task SWE-bench comparison, Jevgrep successfully completed the same 8 of 10 tasks as the baseline, at lower cost.
• Fact It outputs a summary, file list, source excerpts, and declaration/call locations[1]AIThe summary and compact file list come first, followed by selected source with line references, then detailed declaration and call locations.
• Fact It supports declaration parsing for Python, TypeScript/JavaScript, Go, and Rust[1]AIPython, TypeScript/JavaScript, Go and Rust support declaration parsing; other text uses a fallback.

Architecture

Insufficient evidenceNo architecture has been documented for this signal.

Insufficient evidenceDeveloper implications have not been assessed yet.

Insufficient evidenceNo adoption indicators recorded.

Timeline

1. 2 Oct 2026

   First seenFirst seen by the Astrava pipeline[1]

• Fact Requires Node.js 22+ and a key for a supported AI provider[1]AIRequires Node.js 22+, macOS, Linux, or Windows, and a key for Vercel AI Gateway, TypeSafe, OpenRouter, OpenCode Zen, or a custom TypeSafe-compatible endpoint.
• Fact No separate Python, Bun, or ripgrep installation is required, but the CLI must be installed[1]AINo separate Python, Bun, or ripgrep installation is required to use jg.
• Analysis Generated from activity metrics only; verify the linked sources before acting on it.

Insufficient evidenceNo competing approaches documented yet.

Insufficient evidenceNo independent projects or organisations are documented as building on this yet.