AI
GitLab Adds AI Chat Interface to Increase DevOps Productivity
GitLab Duo Chat is a natural language interface which helps generate code, create tests and access code summarizations ...
The Role of AI in Securing Software and Data Supply Chains
Expect attacks on the open source software supply chain to accelerate, with attackers automating attacks in common open source software projects and package managers ...
Exploring Low/No-Code Platforms, GenAI, Copilots and Code Generators
The emergence of low/no-code platforms is challenging traditional notions of coding expertise. Gone are the days when coding was an exclusive skill set reserved for a knowledgeable few. Low/no-code platforms have democratized ...
Survey Surfaces Widespread Reliance on Generative AI Among Developers
Two thirds of developers are using AI in product development, primarily for coding, documentation, and conducting research ...
Your AI Might be Lying to You
Simple tests can demonstrate whether a code generator is actually doing what you ask ...
Tabnine Extends Gen AI Platform for Writing Code to Multiple LLMs
Tabnine today revealed that it is giving DevOps teams the ability to switch between multiple large language models (LLMs) when they use its generative artificial intelligence (AI) platform to write code. Application ...
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 ...
To Devin or Not to Devin?
Cognition Labs' Devin is creating a lot of buzz in the industry, but John Willis urges organizations to proceed with caution ...
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 ...
Cognition Labs Previews Devin AI Software Engineer
Cognition Labs previewed Devin, which it describes as the world’s first software engineer based on artificial intelligence (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 ...

