A marriage of formal methods and LLMs seeks to harness the strengths of both.

The following is an excerpt from an article written by Gail Pieper, coordingating writer/editor at Argonne National Laboratory. The complete article can be found here. Large language models (LLMs) ...

What if the key to solving your most complex coding challenges wasn’t just thinking harder, but thinking differently? Traditional approaches to problem-solving in AI, like Claude Code’s ultrathink ...

Large language models (LLMs) can learn complex reasoning tasks without relying on large datasets, according to a new study by researchers at Shanghai Jiao Tong University. Their findings show that ...

As software systems grow increasingly complex, developers face a mounting challenge: efficiently navigating and understanding vast codebases. Although traditional code search methods like vector and ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...