Goldman Sachs
AI Coding Assistant: 10,000 Developers Gain a Productivity Multiplier
The Problem
Goldman Sachs employs 10,000+ software engineers who spend significant time writing boilerplate code, documenting systems, and debugging. The bank needed to accelerate software delivery without proportionally growing headcount.
The Solution
Deployed an internal AI coding assistant built on top of frontier models (including OpenAI and AWS partnerships) across the engineering organization. The system is customized with Goldman's internal code libraries, compliance requirements, and proprietary API references.
The Outcome
Developer productivity increased significantly, with AI generating 20-40% of new code in early adopter teams. Reduced time to ship new features. Engineers reported higher satisfaction by spending more time on architecture and less on boilerplate.
Key Metrics
- 20-40% of new code AI-generated in pilot teams
- Deployed to 10,000+ engineers
- Reduced feature delivery time
- Significant reduction in documentation debt