This vibe coding cheat sheet explains how plain-language prompts can build apps fast, plus the planning, testing, and security checks needed.
Prompt engineering is the practice of writing clear, purposeful inputs that guide AI models to deliver accurate and context-aware outputs. It’s become a foundational skill across AI-assisted workflows ...
YouTube's specifications are extremely complex and change frequently. The yt-dlp development team previously supported YouTube using a method that heavily relied on regular expressions. However, in ...
A critical vulnerability in the popular expr-eval JavaScript library, with over 800,000 weekly downloads on NPM, can be exploited to execute code remotely through maliciously crafted input. The ...
Cybersecurity researchers have disclosed three now-patched security vulnerabilities impacting Google's Gemini artificial intelligence (AI) assistant that, if successfully exploited, could have exposed ...
React conquered XSS? Think again. That's the reality facing JavaScript developers in 2025, where attackers have quietly evolved their injection techniques to exploit everything from prototype ...
Get details on the vulnerabilities the Legit research team unearthed in GitLab Duo. TL;DR: A hidden comment was enough to make GitLab Duo leak private source code and inject untrusted HTML into its ...
The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. While these ...
Prompt injection and supply chain vulnerabilities remain the main LLM vulnerabilities but as the technology evolves new risks come to light including system prompt leakage and misinformation.
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