What is Sourcerer?
Sourcerer is an AI-powered code search engine that helps developers find and reuse existing open source code. It provides semantic code search and discovery by indexing over 3.5 billion code snippets from open source projects on GitHub and other public code repositories.
Unlike simple text search over code, Sourcerer understands code context and relationships between programming entities like functions, classes, methods etc. This allows it to deliver more relevant search results by matching developer queries with semantically similar code snippets.
Key features of Sourcerer include:
- Semantic code search across multiple programming languages like Python, JavaScript, Java, C++ etc.
- Contextual ranking of search results based on code similarity rather than just text matches
- Search optimization using machine learning and AI models trained on billions of code snippets
- Filtering search by programming language, code licenses, GitHub stars etc
- Code examples can be easily imported via GitHub gists or Sourcerer's code snippet tool
- Integrates with popular code editors like VS Code to find contextual code recommendations
By leveraging AI and deep learning to understand source code, Sourcerer aims to boost developer productivity and accelerate software development cycles.
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