glebkudr/shotgun_code
A desktop application that intelligently packages local codebase context and sends it directly to LLMs for AI-assisted development.
Not currently ranked — collecting fresh signals.
star history
Shotgun helps developers feed their codebase context to large language models by intelligently selecting relevant files and constructing structured prompts. It features AI-powered Auto-Context that analyzes the repository tree and uses an LLM to pick files relevant to a given task. The tool integrates with OpenAI, Google Gemini, and OpenRouter for direct execution, includes built-in prompt templates for different development roles, and maintains a full history log of all prompts and responses.
Frequently asked
- What is glebkudr/shotgun_code?
- A desktop application that intelligently packages local codebase context and sends it directly to LLMs for AI-assisted development.
- Is shotgun_code open source?
- Yes — glebkudr/shotgun_code is an open-source project tracked on heatdrop.
- What language is shotgun_code written in?
- glebkudr/shotgun_code is primarily written in Go.
- How popular is shotgun_code?
- glebkudr/shotgun_code has 2k stars on GitHub.
- Where can I find shotgun_code?
- glebkudr/shotgun_code is on GitHub at https://github.com/glebkudr/shotgun_code.