Leidos (NYSE: LDOS), a Fortune 500® innovation company, and Sourcegraph, the leading code intelligence platform, today announced an exclusive alliance to introduce secure, generative AI-enabled software development tools to government customers.
Sourcegraph has spent the last ten years building its code graph, which powers Cody, the AI coding assistant for writing, fixing, and maintaining code, and Code Search, which helps developers explore their entire codebase and make large-scale migrations and security fixes. In seconds, developers can use these tools to answer technical questions, correct code, generate new code blocks, and more—no matter the code host, preferred large language model (LLM), or scale of the codebase.
Leidos rapidly delivers secure software across the federal government for missions ranging from military command and control to air traffic control systems; and including critical advances in machine learning algorithms, natural language processing, computer vision and predictive analytics. Through this new alliance, Leidos and Sourcegraph plan to leverage generative AI to provide new capabilities across many markets, even for the most sensitive customer missions.
“Leidos is committed to providing our customers with trusted mission AI tools that help them prepare for success in an increasingly complex and dynamic world,” said Roy Stevens, Leidos National Security Sector President. “By creating this alliance with Sourcegraph, we are enhancing our capabilities with a context-aware code platform, that empowers Leidos and its customer developers to deliver purpose-built, mission software faster and more securely.”
“Leidos and Sourcegraph both understand the potential for AI in software development for the companies that embrace it early on, especially in the government sector,” said Quinn Slack, CEO and co-founder of Sourcegraph. “Leidos’ deep software, AI, and market expertise, paired with Cody’s flexibility and powerful understanding of the codebase, means even the largest, most sophisticated organizations can harness the power of AI coding assistants to seamlessly navigate complex codebases, identify vulnerabilities, and support the highest standards of code integrity and security.”
Certain statements in this announcement constitute “forward-looking statements” within the meaning of the rules and regulations of the U.S. Securities and Exchange Commission (SEC). These statements are based on management’s current beliefs and expectations and are subject to significant risks and uncertainties. These statements are not guarantees of future results or occurrences. A number of factors could cause our actual results, performance, achievements, or industry results to be different from the results, performance, or achievements expressed or implied by such forward-looking statements. These factors include, but are not limited to, the “Risk Factors” set forth in Leidos’ Annual Report on Form 10-K for the fiscal year ended December 30, 2022, and other such filings that Leidos makes with the SEC from time to time. Readers are cautioned not to place undue reliance on such forward-looking statements, which speak only as of the date hereof. Leidos does not undertake to update forward-looking statements to reflect the impact of circumstances or events that arise after the date the forward-looking statements were made.
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