Overview Programming languages are in demand for cloud, mobile, analytics, and web development, as well as security. Online ...
As safety-critical industries move beyond experimentation and toward production-grade adoption of Rust, 2026 marks a pivotal ...
ABI and scripting to the Wasm Component Model (WASI Preview 2). He shares how to build secure plugin systems that run at near-native speed across Rust, TypeScript, and C++. Architects will learn about ...
With LiteBox, Microsoft has released a library OS written in Rust, which aims to reduce the attack surface through minimal ...
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'Coding is becoming plain English': Nithin Kamath builds personal AI agent to tackle spam
Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from ...
Funding led by Tensor Ventures and including Begin Capital and Adara Ventures will accelerate AppFactor’s AI platform that discovers, regenerates, and ...
The Register on MSN
OK, so Anthropic's AI built a C compiler. That don't impress me much
Fanboys think it's the greatest thing since sliced bread. Devs aren't nearly as won over Opinion I'm willing to be impressed by AI products, but Anthropic's AI‑built C compiler leaves me a bit cold.
This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.
After years of watching smart teams mistake sampling for safety, I no longer ask how many AI tests we ran, only which failures we have made impossible by design.
Over two weeks and nearly 2,000 Claude Code sessions costing about $20,000 in API fees, the AI model agents reportedly produced a 100,000-line Rust-based compiler capable of building a bootable Linux ...
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