AI
AWS Extends MCP Support in Amazon Q Developer to Multiple IDEs
Amazon Web Services (AWS) has added support for the Model Context Protocol (MCP) with the Visual Studio Code and JetBrains plugins that are provided for Amazon Q Developer, a set of artificial ...
Why AI-based Code Generation Falls Short
The usage of AI in the software development life cycle of any project will facilitate faster workflows, thereby enabling your software developers to focus on creative and complex tasks instead of spending ...
The Top 5 AI Trends for Developers
The emergence of AI offers developers the ability to expand and improve their application of Generative AI ...
Atlassian Adds CLI Option to AI Agent for Building Software
Atlassian has added a command line interface (CLI) option to provide application developers with a familiar construct for invoking Rovo Dev, its artificial intelligence (AI) agent for building software Part of a ...
CloudBees Adds MCP Server to Unify Platform for Integrating DevOps Workflows
CloudBees today began providing early access Model Context Protocol Server to its Unify platform for centrally managing DevOps workflows across multiple types of continuous integration/continuous delivery (CI/CD) platforms ...
New Relic Adds Support for Model Context Protocol to Observability Platform
New Relic this week added support for the Model Context Protocol (MCP) to its observability platform to surface insights into artificial intelligence (AI) agents and applications. Originally developed by Anthropic, MCP is ...
Smooth the Path to AI Agent Adoption for Software Engineers
To encourage effective AI use among developers and smooth the path to adoption, enterprises must define clear use cases for AI agents ...
JFrog Extends Alliance With NVIDIA to Secure AI Software Supply Chain
JFrog and NVIDIA today announced they have expanded the integrations between their software development platforms to now include the Enterprise AI Factory, a set of frameworks and blueprints for building artificial intelligence ...
The Future of Application Development in the AI Era
The AI skills gap is widening, and today’s developers are expected to keep up. AI, used in conjunction with a powerful enterprise-grade low-code platform, holds significant potential to help bridge this gap ...
Accelerating DevOps Pipelines With AI-Native Testing
An in-depth look at AI-native testing and the capability it has of pushing things through the DevOps pipeline, faster ...
Datadog Adds Raft of Additional AI Agents and Tools to Portfolio
Datadog at its DASH 2025 conference today previewed a raft of artificial intelligence (AI) agents that automate tasks ranging from assessing infrastructure alerts that normally require the expertise of a site reliability ...
Zencoder Adds AI Agent to Test Code to Portfolio
Zencoder today made available a public beta of an artificial intelligence (AI) agent that extends its platform for writing code into the realm of application testing. Company CEO Andrew Filev said Zentester ...
