The transition from basic RAG to AI Infrastructure powered by Context Engineering is not a future scenario, it is today’s ...

The right balance lies in using AI where it accelerates safely and relies on skilled engineers to govern where it cannot.

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Maintainers and developers are now using AI to help build Linux. Simultaneously, Rust has graduated to being a co-equal language with C for mainstream Linux development. However, the programming world ...

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 ...

Stay in flow with Auto Claude using multi-terminal tools and session restore, so you run tests and pick up where you left off ...

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 ...

Many infrastructure and operations leaders aren’t able to dig out enough money from budgets to reallocate to AI projects, Gartner said in a survey released this week. The research firm surveyed 253 IT ...

Artificial intelligence is powerful, but are businesses using it the wrong way? In this episode of Today in Tech, host Keith Shaw sits down with Alan Trefler, Founder and CEO of Pega, to discuss why ...

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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Recently [Faith Ekstrand] announced on Mastodon that Mesa was updating its contributor guide. This follows a recent AI slop incident where someone submitted a massive patch to the Mesa project with ...