Description
CME Group, the world’s leading derivatives marketplace, has embarked on a transformation journey to move nearly all application assets to Google Cloud. This initiative aims to accelerate innovation and product delivery by upgrading technology infrastructure and managing the complexity of migrating from on-premises systems to the cloud. A key component of this transformation is the adoption of Gemini Code Assist, a portfolio of AI-powered tools that provide context-aware code suggestions and aid developers across the entire software development lifecycle.
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Initially launched as a trial with 20 users, Gemini Code Assist quickly demonstrated its value, leading to a rollout to over 1,000 active users within a year. The tool has significantly boosted developer efficiency, with a controlled study showing a 45% increase in pull requests and 70% of developers attributing improved productivity to its use. This efficiency gain has allowed CME Group to complete projects in less than half the time, using fewer resources.
Gemini Code Assist has also transformed the workforce by enabling non-coders to become developers, expanding the technical workforce and fostering innovation. The tool is used across three primary use cases: understanding legacy code during migration, generating new code and automated tests, and accelerating code translations and migrations securely. A notable example of its impact is the migration of 2,000 sensitive regulatory reports from on-premises Java and Oracle to BigQuery, completed in just three to four months instead of the planned nine.
The collaboration with Google Cloud has been fruitful, with direct engagement from product teams and account managers. Looking ahead, CME Group plans to integrate Gemini CLI and Antigravity into its engineering workflows, further enhancing its capabilities. The transformation extends beyond engineering efficiency, empowering employees and amplifying their potential to add value.
- CategoryAI Coding Assistants
- DeploymentCloud
- PlatformsBigQuery
Key Takeaways
Context-aware code suggestions
Accelerates developer tasks
Transforms non-coders into developers
Boosts productivity by 45%
Reduces project timelines by over 50%
Supports migration to Google Cloud
Enhances innovation and product delivery
Provides documentation for legacy systems
What This Case Study Demonstrates
- Legacy Code Understanding
- Code Generation
- Migration Acceleration
- Productivity Boost
- Workforce Transformation
