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Archivist
About Tool:
AI-powered code search: instant, semantic, and private
Date Added:
2025-04-22
Tool Category:
🔍 Code search
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Archivist Product Information
Archivist: AI-Powered Semantic Code Search for Visual Studio Code
Archivist is an AI-powered Visual Studio Code extension revolutionizing codebase navigation. It offers a powerful semantic search capability, enabling developers to quickly find and understand code snippets within their projects.
Features
- Semantic Search: Archivist goes beyond keyword matching, understanding the meaning of your code to deliver highly relevant results.
- Instant Indexing & Updates: Automatically indexes your codebase upon installation and updates the index in real-time as you edit, ensuring consistently accurate search results within minutes.
- Succinct Summaries: Quickly grasps the functionality of matched code snippets through concise summaries.
- Customizable Exclusion: Easily exclude files from indexing using familiar
.gitignore
syntax, managed through a configuration file (config.json) located in the.archivist
directory. - Fast Query Response: Delivers search results swiftly, making code navigation efficient and seamless.
- Broad Language Support: Currently supports Python, Java, TypeScript, JavaScript, TSX, JSX, and C++. Support for additional languages is planned.
Benefits
- Increased Productivity: Spend less time searching and more time coding.
- Improved Code Understanding: Quickly grasp the purpose and functionality of existing code.
- Enhanced Collaboration: Facilitates easier understanding and navigation of large codebases for teams.
- Privacy Focused: Archivist prioritizes your privacy, ensuring that your code and personal data remain secure and are not stored.
Use Cases
- Quickly locate specific functions or classes within a large project.
- Understand the purpose of unfamiliar code sections.
- Refactor code more efficiently by easily finding related code snippets.
- Onboard new team members faster by making codebase navigation easier.
Archivist empowers developers with intelligent code search, boosting productivity and improving code comprehension.