Platform engineering is often presented as a technical solution to engineering complexity. The typical framing focuses on unifying tools, offering golden paths, and simplifying deployment. While these are useful improvements, they understate the larger potential of platform work. However, there is another view to be had. That is, platform engineering as ecosystem design ...

The rise of generative AI has sparked a wave of speculation about whether it might one day replace developers. While hype around AI capabilities has many people worried, the reality playing out on engineering teams today is quite different. Instead, AI is handling repetitive tasks and allowing developers to concentrate on solving complex problems. In fact, 84% of tech professionals say AI has already made their work easier, according to Pluralsight's 2025 AI Skills Report ...

GenAI excels at handling repetitive coding tasks, but it still relies on developers to guide the work through smart prompting, critical judgment and contextual oversight to ensure outputs meet real-world needs. In fact, even top-performing large language models (LLMs) like Claude 3.5 could only solve fewer than half of real-world engineering tasks. This evolution makes human expertise more important than ever. It's a call to rethink the role of developers — not in terms of what the industry is giving up to AI, but what the industry can gain by working alongside it ...

Developments such as the rise of agentic AI, open-source advancements, architectural innovations and cost management strategies are reshaping the operational paradigms faced by DevOps teams. To stay ahead in this fast-changing environment professionals should be keeping up with the latest trends and preparing for increased adoption of AI. In this blog, I discuss six recent AI trends and conclude each section with suggestions to help DevOps teams navigate and excel in these rapidly evolving areas ...

By integrating security practices such as code scanning, automated testing, and vulnerability assessments early on, security teams can proactively identify potential threats. They can also respond to emerging risks and ship secure code with confidence. This shift to continuous, proactive security integration is reshaping how developers approach software delivery. Ultimately, it ensures more secure and reliable products for users ...

DevOps processes play a vital role in how businesses approach their software development projects. This streamlined way of harmonizing development and operation teams results in improved efficiency and much faster time-to-market when introducing new products. That being said, many times, focusing solely on these two elements doesn't leave much space for security planning. However, for organizations to be successful, it's important that regular security auditing finds its way into modern DevOps workflows to minimize liabilities and ensure safer and more reliable deployments ...

In Part 17 of this series, experts offer predictions about how AI will impact QA and testing in 2025 and beyond ...