AI is reshaping software development, shifting work from coding to orchestration, governance, and skills evolution while ...

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).

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Software engineering is among the many fields being changed with the fast progress in large language models (LLMs). In a few years, LLMs have evolved from advanced code autocomplete tools to AI agents ...

Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create ...

To the majority of developers, productivity has been associated with the number of hours spent within an IDE. This was the progress in faster typing, enhanced autocomplete and cleaner commits. Codex ...