Next.js

Microsoft warns of a phishing campaign targeting developers with fake Next.js job assessments. The attack uses VS Code workspace automation, npm build tasks, and backend scripts to install backdoors and exfiltrate credentials. Attackers leverage social engineering to compromise developer machines, gaining access to cloud secrets, tokens, and source code.

An experienced developer explains their process for learning unfamiliar codebases using Next.js and its Rust-based bundler, Turbopack, as a case study. The approach emphasizes debugging specific issues, utilizing custom visualization tools, and understanding core architectural components like ValueCells (Vc) rather than trying to comprehend the entire project at once.

This guide demonstrates building a structured, multi-agent research assistant using LangChain's Deep Agents and CopilotKit. It features a Python FastAPI backend for planning and web searching via Tavily, and a Next.js frontend that streams the agent's internal state—including checklists, files, and sources—to the UI in real-time for better visibility and trust.

@eigenpal/docx-js-editor is an open-source, client-side WYSIWYG editor for React, allowing users to open, edit, and save .docx files directly in the browser. It features Microsoft Word fidelity, a plugin system, and zero server dependencies. Integration requires dynamic imports for Next.js and supports formatting, tables, and images under the MIT license.

Microsoft Defender Experts uncovered a malicious campaign targeting developers through fake Next.js repositories and job-themed lures. The attackers use Visual Studio Code workspace automation and trojanized assets to execute in-memory JavaScript. This multi-stage threat facilitates command-and-control, environment variable exfiltration, and persistent access to sensitive developer infrastructure and source code.