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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.
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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 ...
Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...
Gartner Inc. announced the top strategic trends in software engineering for 2025 and beyond. These trends enable ...
Ferguson: This is a big part of what’s driving consolidation within the EDA industry. You see Siemens and Mentor and Altair ...
Key Takeaways Tech firms now hire based on skills, not degrees.Portfolios, coding challenges, and GitHub matter most to ...
Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled ...
Mirantis is known for its approach designed to simplify cloud native infrastructure , from onboarding to operations and offering one consistent experience from the datacentre to the edge.
By: Peter Damhuis - Vice President of RIB Software The formula for successful infrastructure development has always been ...
He highlighted that as AI systems increasingly handle the "how" of building and execution, engineers must focus on defining the “what” and “why." ...
Learn what nearshore software development is, its key benefits, and how it compares to offshore and onshore models.
China’s Moonshot AI has launched Kimi K2, a trillion-parameter model that beats ChatGPT and GPT-4 in coding and math tasks, ...
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