Since 1953, China’s five-year plans have been the country’s key mechanism for guiding economic development. But they also reflect something deeper: China’s distinctive understanding of the ...

"It feels like the system is coding with me." This was the comment one of my senior engineers made while we were shipping a critical module for one of our Fortune 500 clients. This comment, although ...

Caleb John (left), an investor with Pioneer Square Labs, and Lucas Dickey, a longtime entrepreneur, helped host the Claude Code Meetup in Seattle on Thursday. (GeekWire Photos / Taylor Soper) Claude ...

If software development were music, the past decade has been a jam session: developers riffing on code, improvising solutions … and occasionally hitting a sour note. But with AI increasingly stepping ...

SAN FRANCISCO, Dec 1 (Reuters) - Nvidia on Monday released new open-source software aimed at speeding up the development of self-driving cars using some of the newest "reasoning" techniques in ...

YULEE, Fla. — A group of concerned citizens in Nassau County have been attending several meetings to speak against their rural backyards becoming a potenital construction zone for new housing ...

Letting AI churn out an endless supply of crappy code that humans then have to debug and maintain doesn’t move anybody’s business forward. There is a persistent, dangerous myth in software development ...

An engineer refreshes a pull request page for the fourth time. New comments appear. More reviewers get tagged. The change has been ready for days, yet the approval waits. The scenario is familiar ...

BOSTON--(BUSINESS WIRE)--Tempo Software, the leader in Adaptive Strategic Portfolio Management (SPM), today announced the appointment of Tyler McNally as Chief Customer Officer. McNally will lead ...

CCO appointment underscores Tempo’s commitment to customer-centric transformation through Adaptive SPM Tempo Software, the leader in Adaptive Strategic Portfolio Management (SPM), today announced the ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.