Overview: LLMs help developers identify and fix complex code issues faster by automatically understanding the full project ...
Abstract: Over the past decade, the application of deep learning in code clone detection has produced remarkable results. However, the current approaches have two limitations: (a) code representation ...
Apiiro’s growth was fueled by rapid Fortune 500 adoption of AI-driven coding tools, expanding software attack surfaces and associated risk, combined with unique product innovations ...
A comprehensive toolkit for Abstract Syntax Tree analysis and Model Context Protocol (MCP) server implementation, enabling AI agents to understand and query codebases with semantic intelligence across ...
Gemini 2.5 Deep Think scores competitive coding gold in ‘profound leap’ for abstract problem-solving
After a mathematics win in July, Gemini 2.5 Deep Think has now earned a gold-medal level performance in competitive coding. The International Collegiate Programming Contest (ICPC) is the “oldest, ...
The tool is currently able to recognize Python, Java, Verilog, Fortran, and C/C++ via dedicated parsers. It compares abstract syntax trees (ASTs) node by node, while popular diff tools compare any ...
Large language models (LLMs) have been extensively researched for programming-related tasks, including program summarisation, over recent years. However, the task of abstracting formal specifications ...
As large language models (LLMs) continue to improve at writing code, a key challenge has emerged: enabling them to generate complex, high-quality training data that actually reflects real-world ...
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