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 ...
AI/ML
November 18, 2024
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 ...
November 14, 2024
In Part 13 of this series, experts offer some final recommendations to ensure success while using AI to support software development ...
November 13, 2024
Part 12 of this series features expert recommendations on how to avoid the risks associated with using AI to support software development ...
November 12, 2024
In Part 11 of this series, the experts provide recommendations on how to get started using AI to support software development ...
November 08, 2024
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 ...
November 07, 2024
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 ...
November 06, 2024
In Part 8 of this series, the experts express opposing views on the current state of AI adoption across the development community ...
November 05, 2024
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? ...
November 04, 2024
In Part 6 of this series, the experts warn of the security risks associated with using AI to help develop software ...
November 01, 2024
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 ...
October 31, 2024
In Part 4 of this series, the experts warn of the many limitations, challenges and risks associated with using AI to help develop software ...
October 30, 2024
Part 3 of this series covers advantages gained by using AI tools in software development from productivity and innovation to quality and user experience ...
October 29, 2024
Part 2 of this series covers more processes that can be supported or improved by AI, including security, testing, deployment, documentation and more ...
October 28, 2024
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 ...
October 22, 2024
Nearly all (92%) security leaders have concerns about the use of AI-generated code within their organization, according to Organizations Struggle to Secure AI-Generated and Open Source Code, a new report from Venafi ...
October 21, 2024
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 ...
October 10, 2024
Through 2027, generative AI (GenAI) will spawn new roles in software engineering and operations, requiring 80% of the engineering workforce to upskill, according to Gartner ...
October 07, 2024
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 ...
September 25, 2024
As artificial intelligence (AI) and generative AI (GenAI) reshape the enterprise landscape, organizations face implementation hurdles that echo the early stages of cloud adoption challenges. A new survey reveals that while AI's potential is recognized, operationalizing these technologies remains challenging ...
September 24, 2024
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 ...
August 26, 2024
The 25 disruptive technologies to watch on the Gartner Hype Cycle for Emerging Technologies, 2024 fall into four key areas: autonomous AI, developer productivity, total experience, and human-centric security and privacy programs ...
August 22, 2024
Development velocity is a standard KPI in software development, while QA velocity is rarely measured. Even with regulatory and compliance demands, DevOps methodologies, and the shifting left of numerous software testing functions, quality assurance topics (like performance, usability, security, and dependability) continue to be an afterthought in 2024 ...
August 21, 2024
CISOs are struggling with the need to empower both development and application security (AppSec) teams with the productivity benefits of AI tools while establishing governance to mitigate emerging risks, according to Seven Steps to Safely Use Generative AI in Application Security, a new report ...
August 13, 2024
As technology rapidly advances, IT pros are increasingly saddled with technical debt ... But what exactly is technical debt? In essence, it is the cost incurred by opting for quick fixes over comprehensive solutions in software development. Some IT leaders see generative AI (GenAI) as a solution to quickly code their way out of these legacy IT headaches, but more code is not the answer — in fact, it's what started this problem in the first place ...
