🎮Game Dev Sees Limits of LLMs in Calgary Talk
LLMs struggle with non-web game dev
TL;DR
Game programmer discusses using LLMs for web-based games but highlights their limitations with non-web games and opaque game elements. Key takeaways: LLMs are good for web stacks but bad for non-code game assets.
In a recent Indie Rodeo talk, a 15-year game dev veteran explored using Large Language Models (LLMs) in game development. The author, who built a moodboarding site using ChatGPT in 2-3 weeks, argues that LLMs excel in web-based stacks but fall short for non-web games. The talk emphasized the need for context engineering to manage LLM constraints. Game developers should consider these limitations when integrating AI into their projects.
Key Points
Author's 45-minute presentation titled 'Your Game Is A Harness' at Indie Rodeo on Sep 12, 2026.
Moodboarding site built in 2-3 weeks using ChatGPT, showcasing initial LLM integration.
LLMs excel in building web-based stacks but struggle with non-code game elements like assets.
Context engineering emerges as a new practice to manage LLM limitations in game dev.
Author's blog post summarizes presentation ideas without AI assistance.
Why It Matters
If you're building web-based games, LLMs can streamline development. However, for non-web games, the limitations are significant. Developers need to carefully consider context management when integrating LLMs into their workflows.
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