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tricentis

AI is writing your code. Is your regression testing keeping up?

Apr 28, 2026 By Luke Mahon In Tricentis
AI is now writing more of your code than ever. But the problem is that your test suite was built to catch errors, not to catch the difference between what an AI agent produced and what your original specification actually required. As AI tools accelerate development velocity, the volume of code moving through pipelines is outpacing traditional quality processes.
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antino

Agentic AI in Biopharma: Reimagining Life Science

Apr 27, 2026 By Radhakanth Kodukula In Antino
Agentic AI is beginning to change how early-stage drug development really works by taking on the documentation burden that quietly slows innovation. In the U.S. biopharma ecosystem, the stakes couldn’t be higher. Bringing a new therapy from discovery to market often takes 10-15 years and can cost $2-3 billion per drug. At the same time, manufacturers are facing rising production costs, aggressive generic competition, and one of the most significant patent cliffs the industry has ever seen.
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appian

Why Vibe Coding Requires a Curated Experience Backed by Enterprise Governance

Apr 27, 2026 By Medhat Galal In Appian
Everyone is talking about vibe coding—Claude Code, MCP, custom CLIs—using LLMs to turn intent into working logic. It’s fast. And if you aren’t leaning into it, you’re already behind. At Appian, we meet developers where they are. But speed alone doesn’t define success, and there’s a massive difference between a good workflow and a better one. Locking developers into one way of doing things is a losing strategy. That’s why we are releasing MCP and CLI tools.
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Complete guide to understanding vision AI for object recognition | TestComplete

Apr 27, 2026 By SmartBear In SmartBear
Testing complex UI elements like CAD software, Google Maps, or Citrix environments often leads to brittle tests and false negatives. Vision AI solves these automated testing challenges by recognizing elements just like a human would, reducing manual testing efforts, and improving accuracy. Discover how vision AI strengthens automated testing for visually complex applications. This tutorial shows you how to enhance object recognition in SmartBear TestComplete and eliminate test failures caused by 3D applications, canvas-based apps, and virtualized environments.
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xray

Why Xray's AI Test Model Generation is Key to Scalable DevOps Quality

Apr 24, 2026 By Mariana Santos In Xray
DevOps has transformed how quickly software can be delivered, but speed alone does not guarantee resilience. As organizations scale, their systems become increasingly interconnected, with more services, more dependencies, and more edge cases that must be considered in every release. What once felt manageable with a handful of regression tests can quickly become opaque when dozens of teams are contributing to the same ecosystem1.
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