The meteoric rise of artificial intelligence (AI) in the past few years has been a boon for software developers, who quickly embraced AI's ability to help them create code more quickly. But the other edge of the AI sword is that its code isn't always secure, because AI models trained on flawed code, which exists in plenty of applications, are only going to repeat the same mistakes ...

The cost of running Kubernetes at scale with a large number of users quickly becomes untenable for cloud-native organizations. Monitoring costs, either via public cloud providers or with external tools such as Kubecost, is the first step to identifying important cost drivers and areas of improvement ... However, to truly reduce Kubernetes costs and simplify management in the long-term, teams should consider a new approach: multi-tenancy with virtual Kubernetes clusters ...

In today's high-stakes race to deliver innovative products without disruptions, the importance of feature management and experimentation has never been more clear. But what strategies are driving success, and which tools are truly moving the needle? ...

The incorporation of generative AI and machine learning into DevSecOps has unlocked significant potential to improve organizational efficiency in software development. Yet, despite these developments, mitigating friction between development and security teams remains a persistent challenge ...

Integrations are non-negotiable for B2B SaaS companies to drive ecosystem-led growth, but without the proper development approach, they can detract from your core product by monopolizing dev resources and hampering customer experience. Success hinges on building a scalable integration strategy that grows with the ecosystem ...

As the demand for software development grows, so too does the complexity of managing global teams. Organizations around the world are increasingly relying on distributed development teams to innovate and stay competitive ... To keep global development teams productive — even when operating in private cloud environments — while minimizing downtime and fostering seamless collaboration, consider these five best practices ...

The question of whether or not AI is a useful tool for frontend development is critical; it's the difference between reducing toil or making a complex job even harder. Let's look at three responsibilities inherent in frontend engineering to see how AI could help or hinder the work ...