Systems | Development | Analytics | API | Testing

Angular Signal-Based Architecture: Building a Smarter Shopping Cart

In part one of this series, we explored how Angular Signals shift the reactive model away from the RxJS-centric approach we’ve relied on for years. We walked through the core API signal(), computed(), and effect() primitives, and demonstrated how they simplify state management by removing the need for subscriptions, teardown logic, and deeply nested observables. We also introduced a minimalist CartService that held cart items in a private signal and exposed a computed total price.

How to Read Code from the Showcase Ruby on Rails Engine

Reading a lot of code from very senior engineers is probably one of the best ways to level up as a Ruby on Rails developer. By doing so, we can learn new tips and techniques that we can reuse in our jobs. Thanks to open source, we can read code written by the best developers from all over the world, and for free! However, reading code from a Ruby gem or a Rails engine for the first time without being guided can be daunting. There are so many files; how do we even know where to start?

Jetpack Compose Animations: A Complete Guide for Android Developers

Jetpack Compose is Android’s modern UI toolkit. It unifies and simplifies the experience by consolidating state and logic in the rendering with a more declarative approach. Among its most notable features is a powerful animation framework that helps developers create fluid and performant animations with ease. Jetpack Compose allows you to easily inject animations into your UI, which is a great way of providing visual feedback and enhancing interactions that directly affect the user experience.

Scaling Kafka Streams Applications: Strategies for High-Volume Traffic

As the adoption of real-time data processing accelerates, the ability to scale stream processing applications to handle high-volume traffic is paramount. Apache Kafka, the de facto standard for distributed event streaming, provides a powerful and scalable library in Kafka Streams for building such applications. Scaling a Kafka Streams application effectively involves a multi-faceted approach that encompasses architectural design, configuration tuning, and diligent monitoring.

Cross-Data-Center Apache Kafka Replication: Decision Framework & Readiness Playbook

Building distributed systems is a huge undertaking, but the complexity doesn’t end once your application or platform is “production ready.” Keeping these systems online and operational through cloud region outages, a network partition, or just scheduled maintenance is a constant challenge. The bottom line: you don’t want data pipelines for essential business services, customer-facing products, or enterprise data platforms to go dark.

The Developer's Guide to Debugging AI-Generated Code

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

BugSnag Now Supports the Amazon Vega OS

BugSnag now supports applications built with the Vega Developer Tools from Amazon Devices & Services, giving developers immediate visibility into the stability of their TV-first apps. This launch is part of a deeper collaboration between SmartBear and Amazon, extending beyond tooling support into a broader partnership that accelerates software quality across the Amazon ecosystem.