Case Study: Leidos boosts engineering efficiency and security with Sourcegraph Cody

Cody + Leidos Maximizing efficiency with heightened security in the AI race

Leidos, a Fortune 500 innovation company serving heavily regulated industries like government, defense, healthcare, and aviation, needed an AI coding assistant that could meet extremely high security requirements while also improving developer productivity. The team was evaluating how to stay ahead in the AI race without sacrificing data protection, context awareness for complex legacy systems, or flexibility across changing large language models. Sourcegraph’s Cody was the product they chose to assess for those needs.

With Sourcegraph Cody, Leidos was able to search, write, and understand code faster while keeping security front and center. The result was a 75% reduction in time spent answering teammates’ questions and a 50% reduction in time spent reading and orienting on legacy code; senior engineers cut weekly mentoring time from 8 hours to 2 hours. Leidos also reported faster legacy migration work, quicker debugging, easier unit test generation, and stronger code quality, all while avoiding LLM lock-in and improving efficiency across internal R&D and customer projects.

Leidos

Rob Linger

AI Software Architect