GitHub data suggests AI coding assistants are starting to influence which programming languages developers choose.
IntroductionThreat actors often take advantage of major global events to fuel interest in their malicious activities. Zscaler ThreatLabz is diligently tracking a surge in cybercriminal activity that ...
GitHub’s Octoverse 2025 report reveals a "convenience loop" where AI coding assistants drive language choice. TypeScript’s 66% surge to the #1 spot highlights a shift toward static typing, as types ...
From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...
Russian cybersecurity outfit Kaspersky is waving away claims that an iPhone exploit kit recently uncovered by Google was developed by the same people who were behind a group of zero-days that ...
Google API keys for services like Maps embedded in accessible client-side code could be used to authenticate to the Gemini AI ...
You don't need to be a beauty pro to appreciate Sephora. The retailer is a true one‑stop shop for beauty, offering everything from skincare and makeup to hair care, fragrance, and tools from both cult ...
Abstract: The increasing use of large language models (LLMs) such as OpenAI's ChatGPT and Google's Bard in the software development industry raise questions about the security of generated code. Our ...
Multiple current and former Target employees have reached out to BleepingComputer to confirm that the source code and documentation shared by a threat actor online match real internal systems. A ...
Google made another change to the JavaScript SEO documentation help document to explain and clarify JavaScript execution on non-200 HTTP status codes. The change. Google wrote, “All pages with a 200 ...
Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...
Pre-training Large Language Models (LLMs) on high-quality, meticulously curated datasets is widely recognized as critical for enhancing their performance and generalization capabilities. This study ...