AI
Machine Learning in Predictive Testing for DevOps Environments
The integration of AI and ML in testing is a fundamental shift in how we approach software quality and reliability in DevOps environments ...
AISecOps: Expanding DevSecOps to Secure AI and ML
AISecOps, the application of DevSecOps principles to AI/ML and generative AI, means integrating security into models' life cycles ...
StarCoder2 LLMs Designed Specifically to Generate Code Arrive
ServiceNow, Hugging Face and NVIDIA are advancing a generative AI platform specifically trained to generate high-quality code ...
Logz.io Leverages AI to Identify Anomalies in Real-Time
Logz.io added a real-time anomaly detection capability to its observability platform that simplifies correlation of the impact IT events have on business processes ...
Navigating the Rise of AI-Generated Code in Software Development
The year 2023 saw the rise of many technologies and innovations, but none quite as prominent as generative AI. Trained on vast amounts of data, these models are designed to “generate” the ...
The Great Debate: The Future of Humans and Software in the Age of AI
A balanced approach to AI adoption, integration and use in software development would result in a future where AI and human capabilities are intertwined ...
JFrog Extends MLOps Integration Efforts via Qwak Alliance
JFrog's integration with Qwak's MLOps platform will advance collaboration between teams building and deploying multiple classes of software artifacts ...
How Much Testing is Too Much?
Advances in automated testing have great potential, but there are also downsides to consider as the technology matures ...
404: Role Not Found – Generative AI’s Impact on DevOps Jobs
Let's explore the impact of generative AI in key DevOps roles and explain how to prepare ourselves for the shift ...
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
EDA 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 ...