More than 150 techies packed the house at a Claude Code meetup event in Seattle on Thursday evening, eager to trade use cases ...

Slow and insufficient definition of requirements, time-consuming coding and error-prone bug detection are just some of the issues that teams face in the software development life cycle (SDLC).

In today's enterprise landscape, software development often resembles a game of telephone. Business users articulate needs, and—after those needs go through layers of marketing, product and ...

Considering the scaling history and trajectory of generative AI models (specifically large language models, or LLMs) specialized for coding, the software development life cycle (SDLC) is ripe for ...