Abstract: Software risk detection is a critical aspect of ensuring software security and reliability. However, challenges remain in effectively capturing complex structural and semantic relationships ...

Abstract: We present SEMANTIC CODE FINDER, a framework for semantic code search that delivers high-level search performance and supports multiple programming languages. Leveraging code summaries, it ...

semcode is a Python-first semantic code search engine that ingests C++ and Python repositories, splits source files into logical chunks with Tree-sitter + Code2Prompt heuristics, embeds those chunks ...

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Semantic SEO helps search engines understand context. Learn how to use entities, topics, and intent to build richer content that ranks higher. Semantic SEO aims to describe the relationships between ...

Meta’s AI research team has released a new large language model (LLM) for coding that enhances code understanding by learning not only what code looks like, but also what it does when executed. The ...

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What if your code could think beyond syntax, anticipating bugs, predicting outcomes, and even reasoning through complex problems? Enter Meta’s Code World Model (CWM-32B), a innovative leap in ...

GitHub introduces a new Copilot embedding model, enhancing code search in VS Code with improved accuracy and efficiency, according to GitHub's announcement. GitHub has announced a significant upgrade ...

Visual Studio Code includes built-in integration with GitHub Copilot and the ability to choose which AI model to use for code completions. But the latest Visual Studio Code version adds a new ...