
What happened
Chugai Pharmaceutical has made Claude Code the core of its internal system development, after first adopting Gemini Code Assist. The company says this AI-driven approach has significantly improved productivity and removed bottlenecks.
Why it matters
The move reflects a belief that without early adoption of generative AI, developers risk falling behind in productivity. By handling everything from requirements to operations with AI, Chugai aims to stay competitive in a rapidly changing field.
What to watch
The company claims tasks that once took one to two person-months now take one person-day. The success hinges on whether such AI-driven development can scale across more internal projects.
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Chugai Pharmaceutical's push into AI-driven development began with the adoption of Gemini Code Assist, which served as a major entry point. Since then, the company has been continuously comparing multiple development support tools to find the best fit, and it currently uses Claude Code as the centerpiece of its development process. This decision is part of a broader effort to internalize system development and avoid being left behind in productivity as AI models evolve rapidly.
The company's reported result—reducing a task from one to two person-months down to one person-day—illustrates the potential impact of this approach. However, the article also indicates that this shift is not just about using AI as a support tool, but about making AI central to the entire development lifecycle, from requirements to operations. The stakes are significant: if such productivity gains can be consistently achieved, it could change how the company handles internal IT projects.
The key question is whether these gains can be replicated across more complex systems and larger teams. The company's own statement that AI performance is evolving exponentially suggests they expect the benefits to grow, but the test will be whether the bottlenecks that remain can be addressed as quickly as those already solved. For now, the reported one person-day result serves as a benchmark to watch.
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