Rakuten은 Claude Code를 통해 개발을 가속화합니다.

Rakuten, a leading Japanese technology company, is using Claude Code to transform software development, enabling their engineering teams to automate coding tasks that accelerate time to market while reliably powering AI features for millions of customers. Key results with Claude Code: With over 70 businesses spanning e-commerce, travel, fintech, digital content and communications, Rakuten is using AI to better serve their customers, business partners and employees. "We want to give all our teams the power to innovate quickly and drive greater impact for customers faster," said Yusuke Kaji, General Manager of AI for Business at Rakuten. "It's about multiplying what each team can achieve, not just automating existing tasks." The scale of Rakuten's ambition presented unique challenges. With thousands of developers serving millions of customers, they needed AI to accelerate time to market while maintaining enterprise-grade quality and security standards. "Speed and ROI are our key metrics," Kaji explained. "We measure success by how quickly we can deliver value to customers, not just how fast AI can write code." Rakuten is weaving AI throughout its entire business operations as part of its "AI-nization" strategy. This includes building AI agents and large language models using the best open models and from the ground up, giving the company a unique understanding of the technology's potential. That foundational approach, coupled with a commitment to providing Rakuten employees with the best tools available, inspired the team to push the boundaries of AI-assisted software development. When Anthropic released Claude Managed Agents, Rakuten shipped enterprise agents across product, sales, marketing, and finance that plug into Slack and Teams, letting employees assign tasks and get back deliverables like spreadsheets, slides, and apps. Each specialist agent was deployed within a week. "With Managed Agents, our power users become like Galileo, contributing across domains far beyond a single specialty or discipline,” Kaji said. “We deploy each specialist agent within a week, managing long-running tasks across engineering, product, sales, marketing, and finance, generating apps, proposal decks, and spreadsheets in sandboxed environments. As agents become more capable, Managed Agents lets us scale safely without building agentic infrastructure ourselves, so we can focus entirely on democratizing innovation across the company." Rakuten's evaluation of existing AI coding tools revealed a consistent problem: most required constant human guidance and couldn't navigate complex, multi-language codebases. Claude Code solved both issues, delivering genuine autonomous development at enterprise scale. This autonomy has started to multiply engineering capacity across Rakuten. "You can have five tasks running in parallel by delegating four to Claude Code while focusing on the remaining one," Kaji explained. An inflection point came when Kenta Naruse, Machine Learning Engineer, tested Claude Code's capabilities by giving it a complex technical task: implement a specific activation vector extraction method in vLLM, a massive open-source library with 12.5 million lines of code in multiple programming languages. Claude Code finished the entire job in seven hours of autonomous work in a single run. "I didn't write any code during those seven hours," Naruse recalled. "I just provided occasional guidance." The implementation achieved 99.9% numerical accuracy compared to the reference method, reinforcing that Claude Code could handle Rakuten's advanced engineering challenges. This breakthrough, combined with Anthropic's commitment to responsible AI that aligned with Rakuten's values, convinced leadership that Claude Code could transform their development process. Instead of retrofitting existing processes with AI, Rakuten redesigned their development workflows around Claude Code's capabilities. Engineers use Claude Code throughout the development lifecycle: writing unit tests, mocking APIs, building components, fixing bugs and generating documentation. New team members leverage Claude to understand complex codebases and architectural decisions, dramatically accelerating their ability to contribute meaningfully to projects. This accelerated development directly benefits Rakuten's organization and customers alike. Teams ship features in days instead of weeks with augmented workflows: The transformation extends to how individual developers work. Diego Mateos, Senior Machine Learning Engineer at Rakuten, discovered Claude Code changed his approach to coding, saying "I wasn't naturally using test-driven development before, but Claude Code makes it so easy. It generates comprehensive tests instantly, then builds features that pass them. It's completely changed how I develop and made me a much more efficient engineer." The results have been impactful for both Rakuten's business and their employees. Engineering teams saw their average time to mark