Kevuru Games Tests AI Agents in Game Dev: Real-World Impact

Kevuru Games has tested various AI tools, including Claude Code, OpenAI Codex, and Devin, across game development tasks like engineering, documentation, and quality assurance. These tests aim to understand how "AI agents" truly function in practice. Here's the thing: while models like Claude Sonnet and GPT-5 are powerful, they are not agents on their own. An agent includes the surrounding infrastructure for tool access, file handling, and multi-step workflows. For example, an agent can inspect a repository, identify missing assets, write and test code, fix bugs, and report outcomes. By 2026, systems are expected to operate at a repository scale, moving from simple code generation to delegated execution under human supervision. This means AI is shifting from a creative assistant to a technical collaborator for repeatable workflows. Kevuru Games found AI agents are useful for generating gameplay systems, building internal tools, producing documentation, and reviewing code. The bottom line is that the most effective applications are still for narrow, well-defined workflows, not fully autonomous production. This matters because it clarifies the practical role of AI in game development right now.