The code can improve itself, but humans will still be responsible for understanding why something changed and whether it ...

Large language models promise more efficiency in software development. But, despite all the promises, there are still a few ...

Son Nguyen is the co-founder & CEO of Neurond AI, a company providing world-class artificial intelligence and data science services. Software engineering is no longer an unfamiliar term. Since its ...

Imagine a world where your toughest problems are solved before you even have time to stress over them. From writing flawless code to managing complex logistics, artificial intelligence (AI) is rapidly ...

Developers can now turn to generative artificial intelligence (Gen AI) to code faster and more efficiently, but they should do so with caution and no less attention than before. While the use of AI in ...

As AI agents code alongside humans, API platforms and DevRel must redesign for machine-first consumption.

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 ...

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

Dario Amodei, CEO of the California-based AI company Anthropic, made a bold prediction about the future of software engineering, suggesting that AI models could soon take over most, if not all, tasks ...

Features Black Duck’s Chief Product and Technology Officer Dipto Chakravarty on key topics like AI agents and quantum ...

The so-called V-model provides many benefits for organizing the system engineering perspective by depicting the orderly progression, from requirements definition to system-level specification, ...