We Rewrote Our Angular 18 App in React 20 and Increased Developer Velocity by 40% Last quarter, our engineering team made the bold call to rewrite our 3-year-old Angular 18 production application in React 20. After 6 months of development, we cut over to the new stack with zero downtime, and the results have exceeded our expectations: we’ve measured a 40% increase in developer velocity, alongsid
White labeling is more common than you might think. When developing software, you often need to deploy the same application for multiple clients, each requiring their own customization: unique color palettes, logos, or specific variants for a link. Without a proper strategy, you might be tempted to simply clone the existing repository and implement client-specific changes on demand. However, this
More rules should mean better output. That's the intuition. I spent weeks building a comprehensive CLAUDE.md — 200 lines covering naming conventions, security rules, error handling, architectural patterns, import ordering, type safety requirements, and more. I was proud of it. I'd thought through every scenario. Then I scored the output. 79.0 / 100. My carefully crafted documentation was actively
Have you ever looked at code you wrote six months ago and thought: "Who wrote this monster?"? Relax, it happens to all of us. In software engineering, writing code that a machine understands is the easy part. The real challenge is writing code that other humans (including your future self) can understand, maintain, and scale. This is exactly where Software Design Principles come into play. In this
TL;DR: ng-prism lets you showcase Angular components by adding a single decorator to the component class itself. No story files, no parallel file tree, no framework mismatch. Just Angular. If you've ever maintained a Storybook setup for an Angular component library, you know the drill: for every component you write, you also write a .stories.ts file. Then you keep both in sync. Then so
Part 1 of 5 in The New Engineering Contract — what it means to lead engineers when AI is doing more of the coding. SWE-CI tested 18 AI models across 71 consecutive commits. Most broke something on commit 47 they'd already broken on commit 1. That's not an intelligence problem. That's a learning system that isn't learning. A paper made me uncomfortable this month. Not because of what it found about