Three serious prompt injection vulnerabilities in Anthropic’s Git MCP server briefly enabled remote code execution and file ...
摘要 随着 Anthropic 开源 skills 仓库,"Code Interpreter"(代码解释器)模式成为 Agent 开发的热门方向。许多开发者试图采取激进路线:赋予 LLM 联网和 Python 执行权限,让其现场编写代码来解决一切问题 ...
We are always amused that we can run emulations or virtual copies of yesterday’s computers on our modern computers. In fact, there is so much power at your command now that you can run, say, ...
A malvertising campaign is using a fake ad-blocking Chrome and Edge extension named NexShield that intentionally crashes the ...
Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
A powerful /context command and supporting scripts that provide detailed analysis of your Claude Code session's token usage and context efficiency. Automatically detects your project configuration and ...
In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...
What if your code could write itself, refine itself, and improve continuously without you lifting a finger? Below, Prompt Engineering breaks down how the innovative “Ralph Wigum” approach combines a ...
A comprehensive TypeScript-based platform that revolutionizes AI-assisted development through intelligent prompt template management, optimization, and execution. Built for enterprise teams, ...
Abstract: The growing integration of AI tools in software development, particularly Large Language Models (LLMs) such as ChatGPT, has revolutionized how developers approach coding tasks. However, ...
Abstract: This article studies the application of big model technology combining prompt generation and data insight in power system data analysis, aiming to improve the performance of Text to SQL to ...
A critical security flaw has been disclosed in LangChain Core that could be exploited by an attacker to steal sensitive secrets and even influence large language model (LLM) responses through prompt ...