Rakuten fixes issues twice as fast with Codex
The e-commerce giant cut its mean time to resolution in half by deploying the AI coding agent.
Rakuten, the global e-commerce and internet services conglomerate, has integrated OpenAI's Codex—the AI system powering GitHub Copilot—into its core development workflows to dramatically improve engineering velocity and software quality. The company reports that deploying the AI coding agent has enabled its teams to cut the mean time to resolution (MTTR) for software issues by 50%, a critical metric for maintaining service reliability. Beyond bug fixes, Codex automates code reviews within Rakuten's continuous integration and continuous delivery (CI/CD) pipelines, catching potential errors and enforcing standards before deployment.
This automation extends to the full development stack, where Rakuten engineers can now generate and validate complete application builds in a matter of weeks, a process that previously took months. By offloading repetitive coding tasks and boilerplate generation to Codex, developers can focus on higher-level architecture and complex problem-solving. The result is a more efficient software development lifecycle that allows Rakuten to ship features and updates faster while maintaining a high bar for safety and performance, directly impacting the experience for its millions of users worldwide.
- Deployed OpenAI's Codex AI agent, cutting mean time to resolution (MTTR) for software issues by 50%.
- Automated code reviews within CI/CD pipelines, improving code quality and deployment safety.
- Accelerated full-stack application build and delivery cycles from months down to weeks.
Why It Matters
Demonstrates how large enterprises can use AI coding agents to significantly boost developer productivity and software reliability at scale.