Axios npm Hijack: Lessons from the 2026 Supply Chain Nightmare and How to Bulletproof Your Dependencies On March 31, 2026, the JavaScript world woke up to a chilling reality: axios, one of the most downloaded npm packages with over 100 million weekly installs, had been weaponized in a sophisticated supply chain attack. Attackers compromised a maintainer’s npm account, pushed two malicious versions (1.14.1 and 0.30.4), and embedded a stealthy remote access trojan (RAT) that targeted macOS, Windows, and Linux systems.[1][2] This wasn’t a sloppy hack—it was a meticulously planned operation, complete with pre-staged malicious dependencies and self-erasing malware, implicating suspected North Korean actors (UNC1069).[3] ...

Introduction The JavaScript ecosystem has long been dominated by npm (Node Package Manager), the default package manager that ships with Node.js. Over the past few years, however, a new contender has emerged: Bun. Billed as a fast, all‑in‑one runtime, Bun includes its own package manager that promises dramatic speed improvements, a modern API surface, and tighter integration with the underlying runtime. For developers, teams, and organizations that rely heavily on npm for dependency management, the question isn’t simply “Should I try Bun?” but “How does Bun compare to npm across performance, compatibility, workflow, and ecosystem?” This article provides a comprehensive, in‑depth comparison that covers: ...

Table of Contents Introduction What Is Bun? 2.1 Historical Context 2.2 Core Design Goals Architecture Overview 3.1 The Zig Foundation 3.2 V8 Integration vs. Bun’s Own Engine 3.3 Bundler, Task Runner, and Package Manager Getting Started with Bun 4.1 Installation 4.2 “Hello, World!” in Bun Bun as a Runtime: API Compatibility 5.1 Node.js Compatibility Layer 5.2 Web APIs and Fetch Bun’s Built‑In Bundler 6.1 Why a Bundler Matters 6.2 Practical Example: Bundling a React App Package Management with bun install 7.1 Speed Comparisons 7.2 Workspaces and Monorepos Task Runner & Script Execution 8.1 Defining Scripts in bunfig.toml 8.2 Parallel Execution and Caching Performance Benchmarks 9.1 [Startup Time] 9.2 [Throughput & Latency] 9.3 [Real‑World Case Studies] When to Choose Bun Over Node/Deno Limitations and Gotchas Future Roadmap and Community Conclusion Resources Introduction JavaScript has long been the lingua franca of the web, but its ecosystem has evolved dramatically since the early days of Node.js. Developers now juggle runtimes, package managers, bundlers, and task runners—each with its own configuration files, version constraints, and performance quirks. Enter Bun, a newcomer that promises to collapse that fragmented toolchain into a single, ultra‑fast binary. ...

Table of Contents Introduction What Is Homebrew Cask? Installing Homebrew & Enabling Cask Support Core Concepts: Formulae vs. Casks Basic Cask Commands Advanced Usage Patterns 6.1 Installing Multiple Apps with a Brewfile 6.2 Version Pinning and Upgrading 6.3 Caskroom Customization Automation & CI/CD Integration Security Considerations Troubleshooting Common Issues Future of Cask and the Shift to brew install --cask Conclusion Resources Introduction Homebrew has become the de‑facto package manager for macOS developers, offering a simple, command‑line driven way to install open‑source tools. However, macOS users also need to manage GUI applications—things like Google Chrome, Visual Studio Code, or Docker Desktop—that traditionally come as .dmg or .pkg installers. This is where Homebrew Cask (commonly just cask) steps in. ...

Introduction OAuth (Open Authorization) is the de‑facto standard for delegated access on the web. While most developers interact with OAuth as a black‑box flow—“redirect the user, get a token, call the API”—the real power (and the most common source of security bugs) lies in the cryptographic algorithms that underpin the protocol. Understanding these algorithms is essential for: Designing secure client‑server integrations. Auditing third‑party applications for compliance. Implementing custom grant types or token formats. This article provides an exhaustive, 2000‑3000‑word exploration of the algorithms that drive both OAuth 1.0a and OAuth 2.0, including practical code snippets, real‑world use‑cases, and guidance on picking the right approach for your product. ...