Karcic AI-Native HR OS delivers operating leverage by deflecting routine HR questions: benefits/policy Q&A, escalating nuanced matters to HR for final judgment. Founders need operating leverage. We ...
The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.
The Register on MSN
Linus Torvalds and friends tell The Reg how Linux solo act became a global jam session
Ts'o, Hohndel and the man himself spill beans on how checks in the mail and GPL made it all possible If you know anything ...
AsteroidOS 2.0 Linux-based, open-source smartwatch operating system has just been released with features such as always-on display support, Tilt-to-Wake, ...
Los Angeles, USA, February 17th, 2026, ChainwireA Patented, Institution-Grade Architecture Establishing a New Standard for ...
Microsoft is previewing an open-source command-line tool designed to speed up Windows application development, testing, and delivery.
Hauler Hero, an all-in-one tech platform that helps waste management companies scale their businesses, today announced $16M ...
Build a budget-friendly gaming PC optimized for Steam OS using mid-range components like the Intel Core i5-11600K CPU, Radeon RX 7600 GPU, 16GB DDR4 RAM, and a 1TB M.2 SSD for smooth 1440p gaming ...
Days after putting SaaS companies on alert with Claude Cowork, Anthropic has now revealed that its Claude Opus 4.6 model can build a C compiler from scratch. Here is why it is a big deal. Anthropic, ...
Claude Opus 4.6 AI agents built a Rust-based C compiler in two weeks The compiler passed 99 percent of GCC torture tests and compiled the game Doom Anthropic's AI can handle complex software ...
Hosted on MSN
Autonomous coding: A team of 16 Claude AI agents build a C compiler in Rust from scratch
New Delhi: Anthropic, the company behind the Claude AI models, shared a detailed blog post yesterday about pushing the boundaries of what AI can do on its own in software development. Researcher ...
The C compiler project required the AI agents to self-orient and recover from context loss between tasks, a common challenge in long-running AI projects. By the end of the experiment, the team ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results