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Anusha Nerella leads fintech automation at State Street, focused on Java Engineering, AI and intelligent automation.
The authors also flag a recurring issue: while AI models can often generate syntactically correct code snippets, they frequently lack a semantic understanding of the overall software architecture.
The examined system failures provide more than warning signs because they establish a checklist for developing resilient systems.
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Tech Xplore on MSNCan AI really code? Study maps the roadblocks to autonomous software engineeringImagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled ...
In the near future, your next vacation won’t just be booked, it will be understood. From temperature preferences to dietary ...
In an era when software delivery cycles are compressing from months to days, Sarvesh Peddi is contributing to changes in how enterprises approach quality engineering. With over a decade of experience ...
New types of AI coding assistants promise to let anyone build software by typing commands in plain English. But when these ...
Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make ...
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Starting Over in Silicon Valley: What a TravelTech Executive Learned From Reinventing Herself in AmericaAfter more than a decade leading product and business development in a market-leading hospitality tech company, Iana P ...
In an era where artificial intelligence, autonomous vehicles, and high-performance computing push the boundaries of ...
Indie game developer Pirate Software, known for his unique voice and candid online presence, faces accusations of faking his voice, sparking debate ab ...
Here are all of the latest rumors about the 7 biggest design changes expected for the iPhone 17 lineup ahead of its launch this fall.
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