BrowserStack launches AI agent suite to automate, simplify software testing
Empower your mind, elevate your skills
Accel-backed BrowserStack has launched a suite of artificial intelligence (AI)-powered agents integrated across its software testing platform, aimed at helping software teams accelerate release cycles, improve test coverage, and boost productivity.The product suite, called BrowserStack AI , comprises five agents that address key pain points in the software testing life cycle, which are test planning, authoring, maintenance, accessibility, and visual review.The company claims these tools can increase productivity by up to 50% and cut test creation time by over 90%.'We mapped the entire testing journey to identify where teams spend the most time and manual effort and reimagined it with AI at the core,' said Ritesh Arora , CEO and cofounder of BrowserStack. 'Early results are game-changing; our test case generator delivers 90% faster test creation with 91% accuracy and 92% coverage, results that generic LLMs can't match.'Unlike generic copilots or disconnected plugins, BrowserStack AI agents are built directly into BrowserStack products, drawing context-aware insights from a unified data store across the testing lifecycle, the company said.The suite includes the test case generator agent, which creates detailed test cases from product documents, and the low code authoring agent, which turns them into automated tests using natural language.The suite also includes the self-healing agent, which automatically adapts and remediates tests during execution, preventing failures caused by user interface (UI) changes, while the A11y issue detection agent uses AI to surface accessibility issues across websites and apps. Also, the visual review agent highlights only meaningful changes, making reviews faster.The company also has an integration layer, called BrowserStack MCP Server, that enables developers and testers to test directly from their integrated development environments (IDEs), large language models (LLMs) or any other MCP-enabled client.'AI is only useful if it delivers meaningful, context-rich outcomes,' said Arora. 'That's why we've invested in building AI agents that understand test environments, real-world execution data, and user behaviour across thousands of teams.'Founded in 2011 by Ritesh Arora and Nakul Aggarwal, BrowserStack is a cloud-based platform for developers to test websites and mobile apps across different devices, operating systems, and browsers. It operates across 21 data centres worldwide and provides access to more than 30,000 real devices and browsers for testing.In February, the company announced the launch of the AI-powered test platform that consolidates the entire toolchain for quality assurances under one platform from creating, planning, executing and debugging testing, with an aim to help development teams deliver applications faster and smarter.BrowserStack, which said that over 700 engineers are now working on its AI-powered test platform, has more than 20 additional agents in development. The company's tools currently power more than three million tests daily for over 50,000 teams, including companies like Amazon, Microsoft , and Nvidia.
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Hindustan Times
an hour ago
- Hindustan Times
MCP servers: Lure of sharing your data with AI, and a likely security nightmare
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Claude Sonnet 3.5 is their first model, adept at building MCP implementations for connecting AI with datasets, as a user may want to. Indian fintech Zerodha launched an MCP integration with Anthropic's Claude. Among the things it can do is curate portfolio insights, plan trades, backtest investment strategies, and generate personal finance dashboards. For users who aren't proficient with the workings of the stock market, these insights may prove useful. 'MCPs are a new way for AI systems to interact with real-world services like trading accounts,' says Nithin Kamath, Founder and CEO of Zerodha, pointing out all the functionality is free to access. Globally, companies are rushing to build MCP integrations, and there's a core rationale for this sudden momentum. 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Also Read: Apple Music at 10, India's 5G trajectory, Canva's AI tools, and Adobe's camera For users, this may open up a scenario where AI tools may be able to connect with different platforms, and thereby, a single window workflow approach, instead of manually copying data between applications or switching between multiple tools to complete tasks. Take for example Canva, which becomes the first company to launch its deep research connector with OpenAI's ChatGPT, and thereby give users access to designs and content created in Canva via their ChatGPT conversations. This will include Canva Docs and presentations as well. The advantage? Summarising reports or documents, asking AI to analyse data, and for a more contextual conversation. AI will be able to use these tools to create content depending on what a user asks. 'This is a major step in our vision to make the complex simple and build an all-in-one AI workflow that's secure and accessible to all,' adds Haneef. 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Indian Express
3 hours ago
- Indian Express
Explained: AI & copyright law
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Time of India
9 hours ago
- Time of India
AI, drones to check illegal mining in UP
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