Abstract: Traditional code knowledge graphs have problems such as broad and complex knowledge coverage, incomplete code granularity, insufficient semantic richness in code relationships, and ...

He was brainstorming ideas with an artificial-intelligence tool and getting it to code and create them quickly. Together, ...

AI is accelerating software vulnerability discovery, increasing pressure on crypto firms to track CVEs, patch systems faster ...

Web scraping is a process that extracts massive amounts of data from websites automatically, with a scraper collecting thousands of data points in a matter of seconds. It grabs the Hypertext Markup ...

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...

😭 GraphRAG is good and powerful, but the official implementation is difficult/painful to read or hack. 😊 This project provides a smaller, faster, cleaner GraphRAG, while remaining the core ...

Abstract: Software defect prediction refers to the systematic analysis and review of software using various approaches and tools to identify potential defects or errors. Software defect prediction ...

Welcome! This repository contains REST API tutorial samples that demonstrate how to use the Azure AI Content Understanding service directly via HTTP calls with thin Python convenience wrappers. These ...

There is a quiet failure mode that lives at the center of every AI-assisted coding workflow. You ask Claude Code, Cursor, or Windsurf to modify a function. The agent does it confidently, cleanly, and ...

The post Trailmark turns code into graphs appeared first on The Trail of Bits Blog. We’re open-sourcing Trailmark, a library that parses source code into a queryable call graph of functions, classes, ...

Microsoft says that an ongoing Universal Print sharing issue that prevents users from creating some printer shares is due to a Microsoft Graph API code change. Universal Print is a cloud-based print ...