AI is still a major conversation in gaming, with many studios now prioritizing its development. But while there’s a lot of buzz, many game developers are approaching AI with caution and aren’t necessarily as enthusiastic about it.
Useful but not without issues tool
A recent article on the Tally-Ho Corner website explored how wargame creators feel about AI. While opinions vary, most see AI as a useful tool for making tasks faster. However, they generally agree that it can’t replace human imagination and is often hyped up more than it deserves.
Liftoff creator Kevin Haelterman believes these tools aren’t about replacing developers, but rather helping them be more creative, innovative, and responsive to what users need.
Giant Flame, the studio behind the game The Troop, uses AI to help with coding, primarily for small bug fixes. While it’s a useful tool, they emphasize the importance of carefully reviewing AI-generated code and testing it extensively. Most developers agree that using AI to create large, complex functions from scratch isn’t currently realistic.
Seasoned programmers generally agree that having AI write an entire software component – or even a whole program – is a bad approach. You’ll likely end up struggling to fix errors, update, and improve code that wasn’t designed with future changes in mind. This is according to Scott Goffman of Panic Ensues Software.
As a gamer, I’ve been following the AI scene, and it’s cool to see it trying to help with game development. It can definitely assist with translating games, but honestly, the translations aren’t always perfect – they often have errors and lose some of the original meaning. It’s also pretty good at creating basic 2D art, temporary graphics, and even generating voices, though you wouldn’t want to rely on it for really complex voice acting. It’s helpful for getting things done quickly, but still needs a human touch!
Objection to AI
Developers also highlighted the current limitations of AI. For example, Scott Goffman of Panic Ensues Software attempted to use AI to generate 3D models as a base for his work, but found the results were poor. He realized it would actually be faster to build the models from the ground up than to fix the AI-generated versions.
The bot sometimes makes mistakes and performs the wrong actions because it learns from a wide range of examples created by people, and these examples can contain errors as well as correct information.
Josh from Radian Simulations asks: why get an AI-generated answer when you can simply read the original source material?
Many developers dislike the growing use of AI. Radian Simulations, for example, believes creators should rely on open-source tools and their own skills. According to a studio representative, AI is fundamentally flawed for the tasks it’s being promoted for, and a completely reliable, error-free version is unlikely to ever exist.
Based on my knowledge of the technology, I believe the current excitement around generative AI is overblown and it’s simply not necessary.
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2025-11-24 15:02