AI for development permeates throughout the process, from the initial planning stages, where it predicts project timelines, to testing and, now, even autonomous deployment.

A 1B small language model can beat a 405B large language model in reasoning tasks if provided with the right test-time scaling strategy.

In an era of artificial intelligence (AI) and rapidly changing business requirements, enterprises must accelerate their software delivery even while ensuring their development processes accommodate ...