AI coding agents ported Fields Medalist Terence Tao’s Java 1.0 math visualizations to JavaScript in hours, identified two ...

The Hechinger Report reports that AI tutors show promise but can backfire if students rely too heavily on them.

A study of 67 AI models finds enterprises underestimate multi-model failure rates by 2.25x, and offers a free test to check ...

In May, IBM promised to fix open source software at scale. Now we know what that actually looks like.

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...

Note: As we shift focus to Mainnet, we've stopped tracking new CodeAssist participation on Testnet. All historical data remains on-chain. CodeAssist is a completely private and local AI coding ...

Overview: Real-world Python projects build stronger practical development skills than theory alone.AI, cloud development, and ...

Everything you need to know about how we analyzed the 13,000+ comments submitted in the federal government’s request for ...

New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...

As GenAI reshapes the way students and professionals work with code, it changes the competencies educators should assess. Here’s what they could look like ...