AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...

The developers of the big generative AI chatbots are continuing to push out new features at a rapid rate, as they bid to make sure their bot is the one you turn to whenever you need some assistance ...

Square Enix unveiled a bold strategy that could have far-reaching implications for the games industry, as the Japanese publisher aims to use generative AI to automate 70% of game QA and debugging by ...

Square Enix has announced in its financial results that it’s going to be under its “Square Enix Reboots and Awakens” business plan. While the general publicly traded business is happening, with the ...

Tired of headlines about AI yet? Unfortunately, here’s another one: in Square Enix’s latest Business Plan report, the company committed to a goal of automating 70% of its QA and debugging tasks in ...

Jake brings two decades of experience with him, having covered major industry events, breaking news, one-on-one interviews, and more. When he's not playing World of Warcraft, he's usually on the hunt ...

The goal of the partnership is for Square Enix to "automate 70% of QA and debugging tasks in game development by the end of 2027." The project is titled "Joint Development of Game QA Automation ...

Square Enix's latest update on its three-year business "reboot" has shed light on the company's future plans, so expect more multiplatform releases and mobile games based on the publisher's biggest ...

Square Enix is partnering with an AI research lab at the University of Tokyo to "improve the efficiency of game development processes." When you purchase through links on our site, we may earn an ...

RPGs Clair Obscur: Expedition 33 director admits Sandfall "tried" AI during the J'RPG's development, but "didn’t like it" JRPGs "Don't be lazy f**ko's": Retro games legend reacts to Clair Obscur: ...

You stare at the log output. It seems okay, and yet the bug is still hiding. Was Task A missing its deadline? You don’t know. Was a priority inversion quietly breaking the scheduler? Again, you don’t ...

Abstract: Recommendation systems typically rely on users’ historical behavior to infer their preferences. However, when new entries emerge, the system cannot make accurate prediction due to the lack ...