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 ...

Software-defined vehicles require new frameworks as automakers shift from hardware-focused to software-centric development ...

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 ...

Software quality often slips not because of major flaws, but because of small cracks in the software development lifecycle ...

Learn what a project manager to a software development team does, the different methodologies available, and the best tools to take a development project to completion with TechRepublic’s ...

Code generation and copilots are just the beginning of new AI-enabled ways to develop, test, deploy, and maintain software. Coding in the 1990s usually meant selecting an editor, checking code into ...