Systems | Development | Analytics | API | Testing

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.

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.

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.

We’re proud to announce that the next version of MLRun has been released to community users. On the heels of MLRun v1.7’s focus on monitoring, MLRun v1.8 adds features to make LLM and ML evaluation and monitoring more accessible, practical and resource-efficient. New Highlights: MLRun is an open-source AI orchestration tool that provides AI practitioners with capabilities to accelerate and streamline the development, deployment and management of gen AI and ML applications.

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.

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

Users of Snowflake and other data lakes and data warehouses need real-time data for artificial intelligence (AI) and analytical workloads—but they struggle to get that data into their lakes and warehouses. In response to this ubiquitous challenge, Confluent developed Tableflow.

Outsourcing quality assurance (QA) to a high-quality software testing service can be a good way to perform more testing at a low cost while freeing developers from test creation and maintenance. However, through surveys and interviews with numerous engineering leaders, we found that not all software testing services can deliver on these benefits. Many are notoriously slow and struggle to catch obvious bugs in critical user paths.

At the top of many IT folks’ minds lies the looming 2027 deadline for SAP’s end-of-life for SAP ECC – and the subsequent migration to S/4HANA. Often a complex and lengthy migration process, the shift to S/4 requires careful planning and resource allocation.

In today’s world, almost everyone has a mobile device full of apps. Most commonly, mobile apps serve as essential tools for personal and professional communication. However, the scope of apps goes much further, since many individuals use apps for fitness, healthcare, shopping, entertainment, and so much more. This means that, while your phone and its apps are packed with convenience and efficiency, they also come with one large hidden cost: your personal data.