Industry experts offer thoughtful, insightful, and often controversial predictions on how DevOps and development technologies will evolve in 2025. Part 2 covers more predictions about software development ...
Development
As part of DEVOPSdigest's annual list of DevOps predictions, industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how DevOps and development technologies will evolve in 2025 ...
In Part 18, the final installment in this series, experts offer predictions about how AI will impact developers in 2025 and beyond ...
In Part 16 of this series, experts offer predictions about how AI will change DevOps and development processes in 2025 and beyond ...
In Part 15 of this series, experts offer predictions about how AI's support for code generation will evolve in 2025 and beyond ...
The Holiday Season means it is time for DEVOPSdigest's annual list of DevOps predictions. We are kicking off the predictions series this year with the final installments of a series run on DEVOPSdigest last month: Exploring the Power of AI in Software Development. In Part 14, experts offer some predictions about how AI's support for software development will evolve in 2025 and beyond ...
In Part 13 of this series, experts offer some final recommendations to ensure success while using AI to support software development ...
Part 12 of this series features expert recommendations on how to avoid the risks associated with using AI to support software development ...
In Part 11 of this series, the experts provide recommendations on how to get started using AI to support software development ...
In Part 10 of this series, the experts speculate on the impact AI will have on the developers themselves — how their role will evolve and how they will have to adapt ...
Will AI replace humans? Will developers be displaced? In Part 9 of this series, the experts discuss how AI will impact the software development workforce ...
In Part 8 of this series, the experts express opposing views on the current state of AI adoption across the development community ...
In Part 7 of this series, the experts discuss the maturity of AI and try to answer the question: Is AI mature enough to actually write code? ...
In Part 5 of this series, the experts warn of even more limitations, challenges and risks associated with using AI to help develop software, including bias, hallucinations and more ...
In Part 4 of this series, the experts warn of the many limitations, challenges and risks associated with using AI to help develop software ...
Part 3 of this series covers advantages gained by using AI tools in software development from productivity and innovation to quality and user experience ...
Part 2 of this series covers more processes that can be supported or improved by AI, including security, testing, deployment, documentation and more ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? ... To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC ... In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
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 ...
JavaScript frameworks have been at the forefront of web development's evolution. As they continue to evolve, staying ahead of the curve is crucial for developers and tech enthusiasts alike. The landscape is changing rapidly from the transition to client-only applications to the emergence of signals in frameworks like SolidJS. Today, we're on the brink of the next big shift ...
With the rapid adoption of Agile and DevOps practices and a growing reliance on automation and AI, organizations face significant challenges in maintaining software quality. These evolving methodologies have reshaped the role of quality assurance (QA), making it simultaneously more complex and crucial in the current technological landscape. To address these pressing issues, Info-Tech Research Group has released its latest blueprint ...
If you're stepping into edge AI development, let me share some things you'll run into early on. Transitioning AI models from desktop environments to edge devices isn't as straightforward as it might seem. The edge brings unique challenges that demand a different mindset, and the sooner you're aware of them, the better prepared you'll be ...
According to the Oracle Java Usage, Pricing & Migration Survey and Report from Azul, 86% of Oracle Java users are migrating all or some of their use with reasons including cost, a preference for open source, uncertainty over Oracle's ongoing pricing changes and the threat of a Java usage audit ...
In certain developer circles right now, the sense of doom is palpable. For many, the writing seems to be on the wall. The question is not if but when AI will render their professions wholly irrelevant ... It seems like a tragedy. Luckily, it's also a fantasy ...