Systems | Development | Analytics | API | Testing

Have you ever considered how well-tested your.NET code simply is? Many teams feel their test suite is complete until a bug makes its way into production. The hard part is not just writing tests, but determining if tests cover critical paths. When using standard coverage tools, coverage can seem convoluted and unrelated to how you write code. This is where Coverlet coverage comes in – a simple to use, open source library for measuring test file coverage, and improving test coverage.

Learn about enhancements to the TimesFM foundation model that performs "zero-shot" forecasting, now available for BigQuery and AlloyDB.

At Koyeb, we provide high-performance serverless infrastructure for intensive applications across CPUs, GPUs, and accelerators. We take code, build it, and run it in fully isolated, secure microVMs on bare-metal servers around the world. We scale automatically when needed, down to zero when idle, with cold starts as low as 250ms. Over the past few months, we’ve been working with an increasing number of teams using Koyeb to orchestrate and run AI-generated code at massive scale.

Each year, right on schedule, a new version of PHP is released at the end of November. So, how much faster is this new release across popular frameworks and applications? Our tests show that, in general, the performance between 8.2, 8.3, 8.4 and 8.5 does not move much for a Laravel, Symfony and WordPress demo application. Moving to the newest PHP version isn’t a magic shortcut to better performance. Not everything is bleak, though.

In late 2024, Tricentis embarked on its own SAP transformation — migrating from NetSuite to a greenfield implementation of SAP S/4HANA Finance. This blog kicks off a series that will follow Tricentis’ migration journey, from planning and implementation through to outcomes and impact.

AI testing careers are shifting in ways that most people in QA are not fully prepared for, and the changes are creating opportunities that did not exist even a few years ago.

Hi everyone, my name is Bailey Ahrens, and I’m a marketing intern at Speedscale! I just returned a few days ago from KubeCon + CloudNativeCon North America 2025. While it was only my second trade show, it felt like a huge step forward in my confidence, skills, and future direction. My first conference (API World) was all about stepping outside my comfort zone. KubeCon was where I started leaning into that confidence and finding my place in the tech community.

Quality Assurance (QA) teams must run extensive tests to ensure that a website or application performs as intended before release. However, rather than manually running these tests, which can hinder productivity, modern teams are using QA automation. By automating QA testing workflows, teams can rapidly execute these tests using standardized processes, frameworks, and software. Developers can quickly fix any errors and deliver high-quality code so that product teams can speed up release times.

As modern applications grow more complex and API-driven, maintaining test stability becomes increasingly challenging. Many QA teams struggle to manage scattered test scripts and inconsistent environments, leading to inefficiency and missed defects. The real solution lies in adopting a structured automation framework that brings order, scalability, and speed to the testing process. In an API-first setup, it helps teams validate functionality continuously and collaboratively.

The SmartBear community is made up of curious, collaborative builders. They’re developers, testers, creators, and innovators who every day are experimenting with new technologies, customizing workflows, and solving complex problems.