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Browsing: Engineering
Shopify has generated a lot of buzz about AI-native development, much of which has been fueled by viral posts from CEO Tobi Lütke and other leaders describing how deeply AI is being embedded into their engineers’ everyday workflows.
Kennesaw State software engineering student develops AI-powered navigation system – News
AI is increasingly being used to help analyze police bodycam recordings, but new research from Princeton Engineering shows that in 1 out of 4 cases the models can’t identify basic details, like whether an officer handcuffed someone or drew a gun.
What happens when human imagination, artificial intelligence, art and technology come together? From September 1 to 6, Samsung Electronics presented a special exhibition themed “Design is an Act of Love” during Design Miami Seoul 2026 at Dongdaemun Design Plaza (DDP) in Seoul.
Inside Track – Engineering the Frontier Firm: Sharing our AI-native approach to software development
About a year ago, our teams in Microsoft Digital—the company’s IT organization—began an AI transformation the same way most organizations did: ad-hoc. Our engineers taught themselves new tools while those tools were still evolving.
If you look at the commit histories of modern data platforms, something profound has shifted over the last two years. The friction of writing syntax has collapsed. With Cursor, Claude Code, and agentic workflows now living inside our Docker containers and IDEs, generating the first implementation of a distributed streaming pipeline or a complex API…
LG Electronics CEO Lyu Jae-cheol courted engineering talent during a recruiting event in San Francisco, as part of the company’s efforts to secure specialists in future growth businesses such as robotics, artificial intelligence (AI) data center cooling solutions and mobility.
There are so many positive sides that come with using systems like Claude; all the repetitive, routine coding gets automated, researching is quicker, and debugging becomes easier. In general, for people in software, productivity goes up and allows teams to ship more.
The pace of AI adoption is moving incredibly fast. Customers have moved well beyond experimentation and understand the importance of adopting AI to transform their business. They are now concentrating on delivering measurable business outcomes and demonstrating a return on their AI investments, while ensuring their intelligence is amplified and their IP is protected.
After more than two decades building software teams across five continents, Svitla Systems is planting its flag in Miami.