GenAI helps developers maintain consistency and compliance across the codebase, reducing the risk of introducing errors or vulnerabilities.
Only 10% of Organizations are Doing Full Observability. Can Generative AI Move the Needle?
Generative AI, powered by large language models (LLMs), introduces a transformative solution to the challenges of modern observability.
Oracle Plans to Apply Generative AI to Java and SQL
Oracle is developing a generative AI assistant that uses multiple LLMs to create Java and SQL code. Oracle Code Assist will provide expert, opinionated feedback for code snippets, dependency analysis, error mitigation alternatives, test cases, annotation, summarization and documentation.
Your AI Might be Lying to You
Simple tests can demonstrate whether a code generator is actually doing what you ask.
Survey Sees AI Playing Larger Role in Test Automation
A Tricentis survey found organizations could see massive costs savings by fully automating mobile application testing.
How Generative AI Enables Unified Continuous Testing Platforms
Generative AI can help address the challenges of unifying diverse testing needs into a single continuous testing platform.
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.
Google is Right to be Afraid
Google’s recent stumbles come at a rather inopportune time, but the concerns that made them actually address the controversy are worse than most know.
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.
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