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 ...
SAN FRANCISCO (KGO) -- San Francisco supervisors are considering a change to a Public Works code that currently requires people to plant a tree when working on new construction. Money may not grow on ...
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 ...
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 ...
Add Yahoo as a preferred source to see more of our stories on Google. EAU CLAIRE— An amendment to the proposed Century Zoning Code Update relating to tree preservation and affordable housing delayed ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback