Say goodbye to source maps and compilation delays. By treating types as whitespace, modern runtimes are unlocking a “no-build” TypeScript that keeps stack traces accurate and workflows clean.

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 ...

Three vulnerabilities in Anthropic’s MCP Git server allow prompt injection attacks that can read or delete files and, in some ...

Researchers found a LinkedIn phishing campaign delivering a remote access trojan via DLL sideloading, WinRAR SFX files, and ...

A malicious extension impersonating an ad blocker forces repeated browser crashes before pushing victims to run ...

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Security researchers from Palo Alto Networks have discovered vulnerabilities used in some top Artificial Intelligence (AI) ...

Researchers discovered remote code execution vulnerabilities in three AI libraries from Apple, Salesforce and Nvidia used by ...

Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...

在真实工程项目中，不使用 LangChain、LangGraph、CrewAI 等框架，纯用 Python + LLM API 手动实现 AI Agent 不仅完全可行，而且在许多场景下是更优选择。 Anthropic 官方明确建议开发者”从直接使用 ...