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In the midst of its 20th anniversary celebrations, KRAFTON is making a major splash in the coktoto technology realm. Not with the announcement of a new game, but with the launch of an artificial intelligence (AI)-based innovation that is touted to transform the way developers work. The technology is called Terminus KIRA an open-source AI agent designed to improve the efficiency of game development workflows.

This announcement was made directly by Lee Kang-wook, Head of AI Technology at KRAFTON, who emphasized that Terminus KIRA is not just an internal experiment, but a real contribution to the global developer ecosystem.

AI Agent with a “Virtual Colleague” Concept
Terminus KIRA is an open-source version of KRAFTON’s internal AI system, previously used by over 1,800 employees. KIRA stands for Krafton Intelligence Rookie Agent.

This technology was developed with the concept of a “virtual colleague.” This means the AI ​​is not designed to replace humans, but rather to assist with technical tasks such as coding and troubleshooting in a computer terminal environment.

KIRA is packaged as a standalone desktop application so it can be installed and widely used by developers outside the company. This marks KRAFTON’s first step in publicly sharing its AI technology through the Ludo Robotics brand.

One of the main highlights of Terminus KIRA is its improved performance in the Terminal-Bench test—a benchmark that measures AI’s ability to write code and complete tasks in a terminal.

The previous version, Terminus 2, relied solely on checking terminal logs and asking simple questions about the AI’s confidence in its work. Terminus KIRA brings a new approach by adding more detailed task descriptions and self-critique prompts.

This approach encourages the AI ​​to critically review its own work and correct errors before delivering the final result. As a result, the success rate significantly increased.

When combined with the Gemini 3.1 Pro Thinking model, the success rate increased from 68.5% to 74.8%. On the Opus 4.6 model, performance increased from 62.9% to 74.4%. Meanwhile, on the standard Gemini 3.1 Pro, the score increased from 52.4% to 64.0%.

This data demonstrates a consistent improvement in AI problem-solving ability across large language models (LLMs).

Lee Kang-wook emphasized that this research stems from the realistic understanding that AI is not yet perfect. Therefore, the approach taken was not to create a new, cost-intensive giant model, but rather to improve the effectiveness of existing models through prompt engineering techniques such as self-critique.

This strategy is considered both cost-efficient and practical to implement. Rather than building a large-scale proprietary model, KRAFTON chose to maximize an existing commercial model with a less technically demanding approach.

This approach also demonstrates that AI is more optimal as an intelligent assistant in the game development workflow—assisting with debugging, scripting, and automating technical tasks—rather than as a complete replacement for humans.

Interestingly, KRAFTON emphasized that the release of Terminus KIRA is not intended for commercial business expansion. Its primary goal is to share innovation and drive technological advancement within the global developer community.

As a South Korean game company, this move is a strong signal that the Asian game industry is increasingly contributing to the open technology ecosystem.

With the increasing complexity of modern game development processes—from AI NPC integration and performance optimization to production pipelines—the presence of AI agents like Terminus KIRA has the potential to become a vital tool for studios of all sizes.

In its 20th year, KRAFTON appears to be asserting its identity not only as a global game publisher but also as a technology innovator.

Terminus KIRA could be the initial foundation for a transformation in developer workflows—where AI is no longer just an extra feature in games, but an integral part of the creation process.

If its adoption becomes widespread, it’s possible that developers’ future work models will be constantly accompanied by AI-based “virtual partners.”

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