Every iOS developer dreams of faster builds, but getting there isn't always straightforward. The reality is, mobile development is a complex process. There are many factors beyond your control—like legal considerations, device compatibility, and app store approvals—that can cause delays and slow things down. The good news is there is one way to speed up your builds without having to cut corners or sacrifice quality: Introducing the Apple M4 Pro Mac Mini on Bitrise.

A recent update to the European Union’s Product Liability Directive (PLD) redefines safety-related responsibilities and risks for software producers. The new directive becomes enforceable in December 2026 and is designed to strengthen consumer protection in a society that is increasingly dependent on software. The directive is focused on safeguarding individuals and therefore only applies to safety-related defects that harm individuals.

When working with data, applications sometimes need to process elements in a specific order, as opposed to the order in which data arrives. That’s where priority queues come in. Unlike regular queues, which follow a first in, first out (FIFO) principle, a priority queue processes elements based on their priority. Think of it as a VIP line at an exclusive event – the highest-priority guests always jump the queue, regardless of when they arrive.

In many organizations, there is a gap between development, testing, and operations, leading to delays, errors, and slower releases. This disconnect often disrupts workflows and affects continuous delivery. QAOps integrates Quality Assurance practices into the DevOps pipeline, promoting high quality and faster delivery. This article will explore how QAOps addresses these challenges, its implementation strategies, and the benefits it offers in modern software development environments.

As software development accelerates with Agile, continuous integration, and continuous deployment, managing test cases across multiple releases has become more complex. Quality assurance teams must ensure that test cases remain accurate and relevant as software evolves. Some tests need updates to reflect new features, others must stay unchanged for regression testing or audit purposes, and new tests are constantly being introduced.

AI success demands more than data access; it requires governance, strategy and collaboration across the enterprise.

All companies want the best talent. Recruitment has changed significantly over the years, navigating shifts between candidate-led and employer-led markets, tech layoffs, and growing demand for flexibility from candidates.