[{"id":"2026/04/playwright-vs-cypress","title":"Playwright vs Cypress in 2026: Which Should You Pick?","description":"An honest comparison of Playwright and Cypress in 2026 — performance, pricing, DX, and a practical migration guide for teams ready to switch.","date":"2026-04-14","tags":["playwright","cypress","e2e testing","test automation","testing frameworks","javascript testing"],"authors":["nomadlab"],"url":"/blog/2026/04/playwright-vs-cypress","content":"Two years ago, picking between Playwright and Cypress was a genuine debate. Your team would weigh trade-offs, argue in Slack threads, maybe even run a proof-of-concept with both. That conversation has shifted dramatically. Playwright now pulls 37 million weekly npm downloads to Cypress's 7 million — a 5:1 ratio that was closer to 1:1 back in 2023. The State of JS 2025 survey showed a 94% retention rate for Playwright versus Cypress dropping into the low 70s for satisfaction. But raw popularity doesn't answer the question you actually care about: should your team use Playwright? And if you're already on Cypress, is migration worth the pain? Those are the questions I want to answer here, because the right choice still depends on where you are and what you're building. How They Actually Work Under the Hood The architectural difference between these two tools explains almost everything about their behavior. Cypress runs inside the browser. Your test code executes in the same JavaScript runtime as your application. This is what makes that gorgeous Test Runner possible — Cypress can intercept network requests, manipulate the DOM, and time-travel through snapshots because it's literally living inside your app's process. The downside? It can only control one browser tab, one domain at a time. Cross-origin testing has always been a hack, and while Cypress has improved cy.origin() over the years, it still feels like you're fighting the architecture. Playwright takes the opposite approach. It runs outside the browser, controlling it through the Chrome DevTools Protocol (for Chromium) or similar protocols for Firefox and WebKit. This out-of-process model means Playwright can open multiple tabs, handle multiple domains, intercept network traffic at the protocol level, and run tests in parallel without any special configuration. The trade-off is that you don't get that same \"I'm watching my app run\" feeling during development. This isn't just a technical footnote. It's the reason"},{"id":"2026/04/terraform-vs-pulumi-vs-opentofu","title":"Terraform vs Pulumi vs OpenTofu: 2026 Comparison","description":"Terraform, Pulumi, and OpenTofu compared — licensing, DX, migration paths, and which IaC tool fits your team in 2026.","date":"2026-04-13","tags":["terraform","pulumi","opentofu","infrastructure-as-code","devops"],"authors":["nomadlab"],"url":"/blog/2026/04/terraform-vs-pulumi-vs-opentofu","content":"Two years ago, picking an Infrastructure as Code tool was straightforward. You used Terraform. Maybe you grumbled about HCL syntax, maybe you wished the state management was less painful, but Terraform was the default and everybody knew it. Then HashiCorp switched to the Business Source License in August 2023, IBM bought HashiCorp for $6.4 billion in early 2025, and OpenTofu forked the project under the Linux Foundation. Meanwhile, Pulumi kept quietly building a genuine alternative using real programming languages instead of a domain-specific one. The IaC market isn't just competitive now — it's fractured. And if you're a platform team lead trying to make a decision that'll stick for the next three to five years, the stakes feel higher than they should for what is, fundamentally, a tool that creates cloud resources. I've been running all three in production across different projects. Here's where each one actually makes sense — and where each one will make your life harder. The Licensing Situation Actually Matters Now Licensing kicked off this whole reassessment, so it's worth addressing first. Terraform moved to BSL 1.1 in August 2023. If you're using Terraform internally to manage your own infrastructure — running it locally, in CI/CD pipelines, provisioning your own cloud resources — nothing changed for you. The BSL doesn't restrict that usage. You can keep doing exactly what you've been doing. Where BSL bites is if you're building a product or service that competes with HashiCorp. If you're offering Terraform as a managed service, embedding it into a SaaS platform, or reselling it — you need a commercial license. That's what killed the ecosystem of third-party Terraform Cloud competitors and pushed companies like Spacelift and env0 to add OpenTofu support. Now here's the part that keeps platform engineers up at night: IBM completed the HashiCorp acquisition in February 2025. HashiCorp operates as a division of IBM Software, not under Red Hat (IBM's open-source a"},{"id":"2026/04/cursor-vs-copilot-vs-claude-code","title":"Cursor vs Copilot vs Claude Code: 2026 Comparison","description":"An honest comparison of Cursor, GitHub Copilot, and Claude Code in 2026 — pricing, features, and which tool works best for different types of developers.","date":"2026-04-12","tags":["ai-coding","cursor","github-copilot","claude-code","developer-tools"],"authors":["nomadlab"],"url":"/blog/2026/04/cursor-vs-copilot-vs-claude-code","content":"A year ago, the AI coding tool conversation was simple: do you use Copilot or not? That's not the question anymore. Cursor just crossed $2 billion in annualized revenue. Claude Code went from zero to the highest developer satisfaction rating in the market in under a year. Copilot quietly added agent mode and an entirely new Pro+ tier. Three wildly different approaches to AI-assisted coding are now competing for your attention — and your subscription dollars. I've been using all three daily since late 2025, switching between them depending on the task. Here's what I've learned about where each one shines and where each one falls flat. Three Different Philosophies, Not Three Versions of the Same Thing The biggest mistake people make when comparing these tools is treating them as interchangeable. They're not. Each one represents a distinct philosophy about how AI should fit into your coding workflow. Cursor is a full IDE replacement. It's a fork of VS Code that bakes AI into every layer of the editor — tab completions, inline edits, multi-file refactoring, chat. The bet here is that AI should be woven into the editing experience so deeply that you stop thinking about it as a separate tool. GitHub Copilot is a plugin-first approach. It lives inside your existing editor (VS Code, JetBrains, Neovim, whatever you already use) and layers AI on top. The philosophy is: don't make developers change their setup. Meet them where they are. Claude Code is something else entirely. It runs in your terminal. There's no GUI, no tab completions, no inline suggestions. You describe what you want in natural language, and it reads your codebase, writes code across multiple files, runs commands, and handles complex multi-step tasks autonomously. It's less \"autocomplete on steroids\" and more \"a developer who happens to live in your terminal.\" This architectural difference matters more than any feature checklist. If you want AI that enhances your keystroke-by-keystroke coding, Cursor and Cop"}]