Articles for tag: agentic testing, AI in Software Testing, automation solutions, quality assurance, software development, Test Cloud, UiPath

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UiPath Launches Test Cloud: Revolutionizing Software Testing with AI Agents for Enhanced Efficiency and Accuracy

UiPath has launched UiPath Test Cloud, an innovative software testing solution that leverages AI to enhance productivity throughout the testing process. This new approach, known as agentic testing, enables quality assurance teams to collaborate with AI agents like UiPath Autopilot and custom-built agents from Agent Builder. By streamlining workflows, Test Cloud allows organizations to expedite ...

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Unlocking AI Agents in PHP: Enhance Interactivity with MCP (Model Context Protocol) for Smarter Applications

If you’re creating AI agents, you’ve likely heard of the Model Context Protocol (MCP), a hot topic in the tech community. MCP provides a standardized way to connect applications with large language models (LLMs), empowering developers to create smarter agents that can perform a variety of tasks seamlessly. By integrating MCP servers with your Neuron ...

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Revolutionize Code Localization with Meet LocAgent: AI-Driven Graph Solutions for Efficient Software Maintenance and Scalability

Software maintenance is a vital part of developing software, where developers regularly update existing code to fix bugs and add new features. A key challenge during this phase is code localization, which involves pinpointing specific code sections that need changes based on user feedback. Traditional methods often struggle with this task, especially in complex projects ...

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Revolutionize Code Localization with Meet LocAgent: Graph-Based AI for Efficient Software Maintenance and Scalability

Software maintenance is crucial for improving and fixing existing code. A key challenge during this phase is finding the specific parts of the code that need changes based on user feedback. Traditional methods often struggle with this task, especially in complex code. Researchers from top universities have developed LocAgent, a new framework that turns codebases ...

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We Raised $17M to Revolutionize the Future of Web Solutions for Real Estate Agents and Boost Their Success

Browser Use started as an experiment to see if AI could navigate the web like humans. After quickly developing a prototype, the positive response confirmed the potential for AI-driven web automation. Now, they have secured $17 million in funding, led by Felicis Ventures, to advance their mission. Unlike traditional methods that use slow and unreliable ...

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Easily Create a User Interface for Your AI Agent with LangGraph and CopilotKit in Minutes

In this article, you will discover how to create an agent-native research canvas app that utilizes human-in-the-loop features, using tools like Langraph, CopilotKit, and Tavily. The topics covered include understanding AI agents, visualizing a LangGraph agent using LangGraph Studio, and designing the user interface with CopilotKit. You’ll learn how AI agents can perform research tasks ...

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Scalable AI Workflows with Dapr Agents: Harnessing LLMs, Kubernetes, and Multi-Agent Coordination for Enhanced Performance

Dapr has launched Dapr Agents, a cutting-edge framework designed for building scalable AI agents using Large Language Models (LLMs). This framework simplifies the creation of complex workflows and facilitates collaboration between multiple agents. With Dapr’s reliable infrastructure, Dapr Agents can support thousands of agents on a single core, all while maintaining strong security and observability. ...

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Nvidia Readies for Increased Inference Workloads with Advancements in Reasoning AI Agents for Enhanced Performance

At the GTC 2025 conference, Nvidia CEO Jensen Huang highlighted the game-changing impact of agentic AI and reasoning models on the tech industry. Agentic AI enables autonomous applications that can make decisions, while reasoning models improve processing efficiency. These advances will transform software development and the architecture of data centers, shifting from traditional computing to ...

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