AI
Tabnine Extends Generative AI Testing Platform by Embracing RAG
Tabnine's generative AI platform for creating test code can make more accurate and personalized recommendations based on specific code and engineering patterns ...
3 Quick Fixes for Event-Driven Architecture (EDA) Complexity
Jonathan Schabowsky | | Event Portals, event-driven architecture, it, kafka, Open AI Economy, real-time insightsEDA and the adoption of event streaming throughout enterprises are essential architectural requirements, but can introduce complexity. Here are three quick fixes ...
Arm Extends Processor Architecture to Transform IT
Two new Arm processors increase the performance-per-socket provided by 50% and performance-per-watt provided by 20%, respectively ...
Cycode Brings Generative AI to App Security Posture Management
Mike Vizard | | application security, appsec, ASPM, Cycode, generative AI, posture management, vulnerabilitiesCycode's generative AI capabilities in its ASPM platform make it simpler for DevSecOps teams to identify the root cause of vulnerabilities ...
DevOps: What’s the End Goal?
Don MacVittie asks the existential question: What, exactly, are we trying to achieve through DevOps' integration with AI? ...
Skillsoft Taps ChatGPT to Improve Developer Training
Mike Vizard | | ChatGPT, code, developer training, devops, generative AI, Skillsoft, software developmentSkillsoft plans to add generative AI capabilities to its Codecademy training platform to give developers hands-on experience using ChatGPT to write code ...
Harnessing Generative AI for Feature Management Testing
Nahla Davies | | CI/CD, continuous testing, feature flags, feature management, generative AI, testingGenerative AI is revolutionizing the way we create testing environments and feature management within DevOps workflows ...
Embracing the Future: Navigating the Waves of AI in DevOps
Marc Hornbeek | | ai, digital leadership, digital transformation, generative AI, innovation, testingGenerative AI provides a unique competitive edge, enabling superior digital experiences, innovative products and services and proactive responses ...
6 Transformative Mainframe Predictions for 2024
John McKenny | | AIOps, application, artificial intelligence, automation, data management, devops, enterprise, machine learning, mainframe, MLOpsThe success of organizations in today’s digital economy demands speed — the ability to quickly respond to market trends with new applications and services, instant access to critical data, and resolution of ...
ReversingLabs Applies AI to Better Secure Application Binaries
Mike Vizard | | application development, binaries, ReversingLabs, software development, Software Supply ChainReversingLabs launched a binary analysis tool that uses machine learning algorithms to identify risks before and after apps are deployed ...
Software Development in the Age of AI: How to Balance Quality and Speed
There’s no mistaking the reality of AI’s influence. Across industries, businesses are calling on tech workers to make the most of this transformative technology as demand skyrockets and companies race to overcome ...
Will Generative AI Succeed Where AIOps Failed?
Generative AI can go so many places that AIOps could never, and provides a general-purpose approach that can be applied in many different ways ...
