As software delivery cycles accelerate in 2025, businesses face pressure to deploy faster, operate more reliably, and enforce tighter security. In response, many are turning to DevOps as a Service (DaaS) as a means to streamline operations, enhance cross-functional collaboration, and reduce deployment risks.

Introducing AI into your company’s workflow isn't just about deploying new tools — it’s also about guiding your team through a period of significant change. The shift towards AI can be daunting for a lot of people, which often translates into a wide range of concerns, from fear of being replaced to resistance to altering established routines.

Working with global software teams surely seems straightforward in today's interconnected world. That feels especially true after the COVID-19 pandemic, where a lot of business processes got digitized across the board, seemingly putting most companies and the global workforce on the same page. Yet, if you take a closer look, you’ll see that such global alignment isn’t quite there, mostly because working with a global team poses a number of complex challenges.

It’s 2024, so you’ve surely come across someone claiming that implementing AI has become a business imperative. It’s hard to argue with that thought, given the numerous benefits AI can bring. From increased productivity to improved customer service, artificial intelligence is already proving a critical asset for companies of all sizes and industries. However, AI is far from a plug-and-play tech. In fact, it’s easy to fall prey to the hype around it only to be disappointed by the results of a poor implementation.

We all aim to be more productive, to do a better job, more efficiently and in the shortest time possible. That's what productivity is all about. Therefore, we have compiled the five best tips for software developers.