2 天on MSN
Cursor's most important AI features started as side projects engineers built themselves ...
Some of Cursor's biggest AI features didn't start on a roadmap. They were bottom-up projects built by its engineers, says ...
The transition from basic RAG to AI Infrastructure powered by Context Engineering is not a future scenario, it is today’s ...
What if the next big leap in artificial intelligence was just a GitHub repository away? With AI evolving at breakneck speed, developers and innovators are constantly pushing boundaries, crafting tools ...
The right balance lies in using AI where it accelerates safely and relies on skilled engineers to govern where it cannot.
Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure. Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI ...
The Register on MSN
Most devs don't trust AI-generated code, but fail to check it anyway
Developer survey from Sonar finds AI tool adoption has created a verification bottleneck Talk about letting things go! Ninety ...
Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...
The hyperscaler cloud providers plan to spend $1tn on hardware optimised for artificial intelligence (AI) by 2028, according to market researcher Dell’Oro. Meanwhile, enterprises are spending big on ...
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