DevSecOps experts offer thoughtful, insightful, and often controversial predictions on how DevSecOps and related risks and tools will evolve in 2025. Part 3 covers AI security risks ...
AI/ML
Part 3 covers predictions about software quality and testing, as well as some challenges developers will face 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 ...
The software testing landscape is undergoing a transformative shift, driven by emerging technologies and evolving development practices. Rainforest QA's survey of software engineering leaders reveals new insights into how development teams are approaching end-to-end (E2E) test automation in 2024 ...
With the increased prevalence of generative AI, there's a desire to have the same ability to inspect the AI models. Most generative AI models are black boxes, so some vendors are using the term "open source" to set their offerings apart. But what does "open source AI" mean? There's no generally-accepted definition ...
Amid growing pressure to enhance productivity and maintain a competitive edge, organizations are streamlining their application development processes. While increasingly integrating DevSecOps and Generative AI (GenAI) into their workflows, development teams must align to safeguard against application security threats and manage risks effectively ...
The evolution of AI, particularly in cloud and serverless environments, has opened up new possibilities — but it's also introduced significant complexities, especially around privacy and data security. DevOps engineers are on the frontlines of these challenges ...
Applause has released The State of Digital Quality Report ... This year's report examined more than 200,000 defects in digital experiences across enterprise software, digital banking, streaming media services, wearable devices, online retail, voice-activated devices and more. Here's what the 2024 report revealed ...
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 6 of this series, the experts warn of the security risks associated with using AI to help develop software ...
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 ...