While security is a top priority for developers, they are facing an uphill battle when it comes to time spent chasing vulnerabilities, the available scanning tools and alignment with security teams, according to the Developer Survey Report from Qwiet AI ...
AI/ML
The personality types you often encounter in software development organizations can be divided into two basic categories: poets and librarians. Poets are the creative types who dream up big ideas. Librarians make sure high-quality code gets built on time. Their goals and motivations differ, but great software results when they work together harmoniously ...
GenAI was inescapable in 2023. So where do we go from here? What is GenAI's role in 2024? To answer this question, DEVOPSdigest partner site APMdigest introduced a new predictions series — With a focus on GenAI, industry experts offer predictions on how AI will evolve and impact IT and business in 2024 ...
Agile development continually improves enterprise applications and shortens development time, helping companies stay competitive. Artificial intelligence (AI) automates processes to improve efficiency. Agile and AI low-code are naturally symbiotic, providing the means to streamline application development by building on existing software and components ...
If the use of AI is consigned to code generation, organizations may miss some of the most transformative opportunities for AI in software development. Let's walk through three ways to use AI in your DevSecOps workflows for faster cycle times and accelerated value stream delivery: predictive analytics, code testing and review, and security vulnerability detection ...
Part 8 covers AI's impact on DevOps and development: This year's explosion of AI and ML is instigating an unparalleled transformation in business productivity expectations. In 2024, the extended accessibility to AI- and ML-driven automation tools will continue to elevate the benchmarks for code quality, reliability, and security, in response to the escalating demand for expedited software delivery ...
Part 7 covers AI's impact on DevOps and development: AI will give individual engineers far more leverage and shrink the optimal size of development teams ... Small development teams of engineers with AI co-pilots and AI-integrated devtools contributing what in the past would've taken dozens of engineers will become the norm ...
Part 6 covers AI's impact on DevOps and development: AI will play a significant role in generating code, allowing for faster development with fewer human resources. But as code inevitably becomes more like open-source software, AI-generated vulnerabilities will become a bigger concern. The speed at which AI-assisted developers work will underscore the importance of enhanced application visibility and security, as developers may lack the full understanding of their AI-generated output ...
Part 5 covers AI's impact on DevOps and development: In 2024, the rapid evolution of centralized platforms and integration of AI/ML in every stage of the software development lifecycle — from ideation and planning to production deployment management — will revolutionize software engineering ...
Companies have touted AI's ability to make employees more productive and efficient, personalize services and experiences, and improve quality while decreasing human error. And today, many organizations also realize the competitive advantage of utilizing AI in workflows, especially in web and mobile application performance testing ...
AI's widespread adoption is predicted to accelerate the pace of workforce transformation across industries, with estimates that half of today's work activities could be automated between 2030 and 2060, a decade earlier than previous estimates. To keep pace with this growing industry, software development will be central to the efforts of many businesses ...
The popularity of generative AI technology has skyrocketed in 2023, and that trend is likely to continue ... To gain insights into user experiences with generative AI services, my organization, Applause, surveyed more than 3,000 digital quality testing professionals across the globe. Here's what our survey uncovered ...
Gartner announced its list of 10 top strategic technology trends that organizations need to explore in 2024. This year's top strategic technology trends highlight those trends that will drive significant disruption and opportunity for CIOs and other IT leaders within the next 36 months ...
A long-running study of DevOps practices ... suggests that any historical gains in MTTR reduction have now plateaued. For years now, the time it takes to restore services has stayed about the same: less than a day for high performers but up to a week for middle-tier teams and up to a month for laggards. The fact that progress is flat despite big investments in people, tools and automation is a cause for concern ...
One third (34%) of organizations are either already using or implementing artificial intelligence (AI) application security tools to mitigate the accompanying risks of generative AI (GenAI), according to a new survey from Gartner ...
By 2025, more than half of all software engineering leader role descriptions will explicitly require oversight of generative artificial intelligence (AI), according to Gartner ...
There's no buzzier technology right now than ChatGPT and for good reason. Because while the hype over how blockchain was going to transform trust, financial systems and even the business of selling art has yet to materialize, ChatGPT and, more broadly, generative AI are already delivering real value. In fact, ChatGPT is already so powerful, there are many who worry that generative AI will ultimately replace creative and information workers ...
The emergence of artificial intelligence (AI) continues to transform the technological landscape. Its application in several facets of software development continues to grow. One of the areas of software development where the adoption of AI can advance is software testing ...
An increased demand for highly skilled developers is creating a talent gap within the software industry. Automation can help solve the developer gap across the board ...
Today, DevOps teams and organizations are increasingly looking to implement tools that can streamline various processes to run more efficiently with less error. Of these tools rising in popularity, artificial intelligence (AI) and automation are two that continue to see implementation ... By implementing these tools into existing DevOps features, DevOps teams and organizations can effectively achieve more while operating with less ...
The future of DevOps is bright and the opportunities to utilize cutting edge artificial intelligence (AI) and machine learning (ML) applications of these technologies will only further enhance its adoption ...
As digitalization continues pushing applications and services to the cloud, many companies discover that traditional security, compliance and observability approaches do not transfer directly to cloud-native architectures. This is the primary takeaway from Tigera's recent The State of Cloud-Native Security report ...
Looking at the world of emerging technologies, artificial intelligence (AI) appears to be the next technology on the cusp of breaking into the mainstream, thanks to the development and growing proliferation of no-code AI. A code-free technology that enables non-AI experts to implement and test their ideas without any need for a data scientist, no-code AI will prove to be a democratizing force within the AI industry enabling greater accessibility and use by businesses outside of the Fortune 100 ...