Last year, I wrote about the 10 ways generative AI would transform software development, including early use cases in code generation, code validation, and other improvements in the software ...

AI is reshaping software development, shifting work from coding to orchestration, governance, and skills evolution while teams adapt, retrain, and build trust in AI systems.

RPA development relies on process analysts and low-code tools. Generative AI initiatives require data engineering, model evaluation, and security expertise. By 2026, organizations are segmenting teams ...

Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are fundamental limitations to their use.

The impact AI has had on the world at large in 2025 is difficult to quantify. Every facet of modern life, from culture and politics to communication and interpersonal interactions, has been and ...

Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their ...

The software development industry is currently undergoing a significant paradigm shift, driven in part by the emergence of ...

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

Generative AI has entered the world of software development—and it’s making waves. In this episode of Today in Tech, host Keith Shaw is joined by Murali Sastry from Skillsoft and Eran Yanav from ...

As artificial intelligence evolves at a blistering pace, world leaders and thousands of other delegates will discuss how to ...