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 ...
In DevOps, hierarchical security practices involve embedding security measures into every development lifecycle stage. Unlike traditional models where security is a final checkpoint before deployment, hierarchical security integrates security from the outset, beginning with the planning and design phases. By doing so, potential vulnerabilities are identified and mitigated early ...
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 ...