Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository ...
Leapwork recently released new research showing that while confidence in AI-driven software testing is growing rapidly, accuracy, stability, and ongoing manual effort remain decisive factors in how ...
Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
Abstract: Achieving reliable and trustworthy automated software testing requires a synergistic approach that leverages both human expertise and AI capabilities. This position paper argues that active ...
A Python-based Telegram bot that automates SheerID student/teacher identity verification for multiple platforms. The bot automatically generates identity information, creates verification documents, ...
Abstract: Software testing automation is seeing fast evolution, propelled by innovative developments in artificial intelligence (AI), machine learning (ML), and cloud computing technologies. These ...
AI is moving fast—and so is the pressure on teams to keep up. As 2026 begins, many QA and development leaders are asking the same question: How do we make AI actually helpful, not overwhelming? Boost ...
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