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bugraptors

AI Agents & MCP: The New Architecture of Scalable Test Automation

Dec 3, 2025 By Parteek Goel In BugRaptors
The domain of software quality engineering is undergoing an architectural transformation. The established paradigm of imperative, scripted test automation services, while foundational, is reaching its operational limits against the backdrop of exponentially complex, distributed systems. Frameworks like Selenium and Playwright, though powerful executors, are fundamentally script-followers, lacking the cognitive capabilities to adapt to dynamic UIs or reason about system-wide failures.
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AI can't replace YOU... yet #genai #softwarearchitecture #wso2

Dec 3, 2025 By WSO2 In WSO2
Even AI experts like Andrej Karpathy don’t let AI do the thinking for them. The rule? Manual First. If you let an algorithm do the first pass, you lose the nuance and "sense" that only a human brain can pick up. Don’t trade deep understanding for a shortcut. In this clip from EP18: Deep Work for Architects, Dr. Sanjiva Weerawarana explains why relying on AI summaries kills your ability to think deeply—and how to use tools without losing your edge.
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Introducing Qlik MCP Server - Coming Soon

Dec 3, 2025 By Qlik In Qlik
AI is transformative, but it’s only as good as the data it can access and the means it has to unlock it. Qlik’s MCP server provides a full set of tools that allow external LLMs to tap into Qlik’s unique capabilities for data and analytics—so AI can take advantage of our data products foundation and analytics engine to deliver powerful insight and automate tasks and workflows. Register your interest and be one of the first to try Qlik’s new agentic AI capabilities.
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Snowflake And AWS: Accelerating Enterprise Data And AI Adoption

Dec 3, 2025 By Snowflake Inc. In Snowflake
Snowflake CEO Sridhar Ramaswamy chats with Amazon Web Services CEO Matt Garman on accelerating AI from pilot to production. Hear how the combination of Snowflake's AI Data Cloud and AWS's secure, global infrastructure and complementary AI services make it easier than ever for customers to make data-driven decisions and transform industries, from life sciences to e-commerce and beyond. Snowflake and AWS can help your entire organization efficiently transform, share and analyze data and with industry-specific solutions to further accelerate your business outcomes.
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AI And Real-World Data: A New Era For Identifying And Curing Rare Diseases

Dec 2, 2025 By Snowflake Inc. In Snowflake
In this episode of the "Data Cloud Podcast," Dana Gardner is joined by Chandi Kodthiwada, Vice President of Product Management at Komodo Health, to explore how Komodo Health utilizes vast and disparate data sources to generate unprecedented insights in life sciences and healthcare. They discuss the founding mission of Komodo Health, the challenges of building a comprehensive, de-identified data set, and AI’s role in reducing the burden of disease and improving patient outcomes.
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tricentis

AI-powered test optimization with Tricentis Testim and SeaLights

Dec 2, 2025 By Scott Erlanger In Tricentis
If you find that your team is struggling to get releases out the door, it could be inefficient testing practices. Oftentimes, software teams don’t know what their tests actually cover, or which tests are relevant after each code change — so they run everything. This means spending hours executing full test suites for minor updates or burning through CI/CD resources while bugs slip through untested paths. On top of this, software is always becoming more complex.
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tricentis

How multimodal AI is reshaping software testing

Dec 2, 2025 By Sarah Welsh In Tricentis
Picture this: You’re creating test cases for a new feature. You have a Jira ticket with text requirements, a Figma mockup from design, a workflow diagram from the architect, and a screenshot from a stakeholder meeting. Traditionally, you’d manually translate all of this into test steps: describing the UI in words, interpreting the diagram, cross-referencing the mockup. But what if your testing tool could “see and “understand” all these artifacts directly, just like you do?
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moesif

How to Build an Internal Chargeback Model for Your API and AI Usage Using Moesif

Dec 2, 2025 By Abu Sakib In Moesif
API and AI services now sit at the heart of modern products. However, the more we use them, the harder it seems to become to account for the budget. Launching an AI product often leads to massive end-of-period bills. This requires attributing costs to the key internal power users and consumption drivers. The challenge is identifying the departments, products, or projects responsible for the consumption, and the extent to which they contribute.
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rainforest

Now Available: AI Test Planner - Rainforest Crawls Your App to Deliver a Ready-to-Use Test Plan

Dec 2, 2025 By James Palmer In Rainforest
Before you can test software, you need to know what to test. That’s where many QA teams stall out. They don’t have the right software testing tools for mapping the app, identifying user paths, and determining testing priorities. So, building a test plan can take days (or more) of manual work. It’s often slow, frustrating, and error-prone.
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