HeyJaredMary E. Shacklett
- Indexed articles, last 90 days
- 2
- Latest publication
- Aug 20, 2026
- Outlet visibility, for InformationWeek
- Top 5M sites
- Earliest in this view
- Jul 12, 2026
Latest articles
QA is struggling to keep pace with AI app development (opens the original)
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The QA process for application deployment isn't keeping up with the speed of AI coding. Here are five steps to speeding up QA in the AI era. AI promises to cut code so fast that applications can be brought to market quickly. In May, 82% of application developers reported spending less time writing code with the help of AI, according to a study published on arXiv. But there's a problem: The QA process hasn't kept pace. While AI enables developers to build features in parallel, QA checkouts remain
AI project management: Why traditional methods fall short (opens the original)
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Learn how AI project management differs from traditional IT project management in planning, staffing, governance and long-term oversight. AI projects don't fit neatly into traditional IT project management. AI development is continuous, data-centric and iterative, making it difficult to manage with traditional project methods. Project management software uses AI to detect scheduling issues and resource constraints for traditional IT projects, but managing AI projects requires more than AI-assist
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Top 5M sites
For InformationWeek, the outlet · Measured Aug 1, 2026
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