Systems | Development | Analytics | API | Testing

This article originally appeared on SD Times on May 30, 2025. We’re sharing it here for our audience who may have missed it. The headlines are seductive: AI will replace developers. Coding is dead. Ship 10x faster with half the team. It’s the kind of hype that grabs attention and fuels confusion.

New BigQuery features support near-real-time, transactional-style operations, letting you perform common data management in your data warehouse.

There have been huge changes in Android development over the years, but none has been as significant as Jetpack Compose state management. This isn’t just another toolkit update. It’s a flight to freedom, a rethinking of how we build user interfaces from the ground up. Jetpack Compose gives us a new, declarative-style UI development, which means cleaner code and introduces a powerful state management system at the heart of the entire framework.

Due to artificial intelligence and Large Language Models, having streamlined data communication, easy access and easy discovery is now more important than ever. Many people are unaware of it, but the llms.txt file is very important and key to what happens in the machine learning and web sectors. With this plain text file, websites and platforms can interact with LLMs, giving metadata that can impact the way AI indexes, interprets and generates their content.

Ever deployed code only to watch everything crash? We’ve all experienced that sinking feeling ,which is exactly why testing matters so much. While most developers understand that testing is vital, two important approaches : unit testing and regression testing are frequently confused, despite serving completely different functions. In this blog, we’ll clear up the confusion, examine their core methodologies, and how tools like Keploy can automate and enhance your testing processes.

If you release often or support a localized app, you know how quickly release notes can become a repetitive chore. Creating and managing release notes for every version can take up valuable time, especially when updates are frequent. The challenge grows when your app is localized, but your release notes aren't. App stores typically require localized notes, which often leads to a lot of copy-pasting or scrambling to meet requirements in languages your team may not speak fluently.

Condé Nast, National Australia Bank, and Red Ventures are global enterprises that modernized their data infrastructure with Fivetran and Databricks, strengthening the foundation of their businesses.

The EU Data Act gives businesses and individuals operating in the EU more control over their data, including data access and portability for customers.

Developing high-quality products means carefully defining and tracking both functional and non-functional requirements (NFRs). But what exactly are non-functional requirements and how can you best manage them? This guide will help you understand the difference between functional and non-functional requirements with real-world examples. It also covers best practices for writing them and discusses how to track and manage non-functional requirements for greater efficiency.

Automation can make cloud migration faster, cheaper, and safer. It reduces migration time by 50%-80%, lowers costs by up to 30%, and minimizes risks like data loss and downtime. Manual migrations often fail due to human error, complexity, and unforeseen expenses. Here's how automation solves these challenges.