What AI tools did General Motors use?

General Motors used CodeQL, GitHub Enterprise Cloud, GitHub Advanced Security, GitHub Copilot, GitHub Actions in this implementation within the their industry sector.

General Motors accelerates builds 87% and unifies 19,000 engineers with GitHub Enterprise and Copilot

General Motors

General Motors consolidated 19,000+ developers and 150,000 repositories from 40+ fragmented tools onto GitHub Enterprise Cloud, reducing a critical build from 4–6 hours to 27 minutes. By adopting GitHub Advanced Security with Copilot Autofix and deploying GitHub Copilot to 8,000+ developers, GM remediated 100% of leaked secrets and modernized legacy COBOL and Fortran systems.

Outcomes

99%Source code standardized on GitHub

40:1Tools reduced to single platform

27 minutesBuild time (down from 4-6 hours, 87% faster)

Under 3 daysRunner image creation (down from months)

22,000+Leaked secrets surfaced and 100% remediated

1.2M+Potential vulnerabilities identified by CodeQL

8,000+Developers using GitHub Copilot across 55+ languages

Tools & Technologies

CodeQL

Static analysis tool for detecting security vulnerabilities in code through semantic queries, used in CI/CD.

GitHub Enterprise Cloud

Cloud DevOps platform by GitHub for hosting, reviewing, and collaborating on enterprise software projects.

GitHub Advanced Security

Security scanning tool by GitHub for detecting code vulnerabilities and exposed secrets across the SDLC.

GitHub Copilot

AI coding assistant by GitHub suggesting code completions and generating functions within developer IDEs.

GitHub Actions

CI/CD automation platform integrated into GitHub for building, testing, and deploying code workflows.

AI Categories

Security

Developer Tools

AI Assistants

Workflow Automation

Challenge

GM’s developer ecosystem was fragmented across 40+ disconnected tools, creating friction for nearly 20,000 engineers, slowing builds to 4–6 hours, and introducing unknown security risks. Legacy systems in COBOL and Fortran had little documentation and were difficult to maintain.

Solution

GM consolidated onto GitHub Enterprise Cloud with VNet-injected runners for elastic cloud scale. They adopted GitHub Advanced Security with CodeQL and Copilot Autofix for AI-accelerated vulnerability remediation. Over 8,000 developers use GitHub Copilot to boost productivity and modernize legacy code.

Access 449+ AI use cases, 414+ tools, and adoption signal rankings.

Source

GITHUB

Original case study ↗

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