Modernizing COBOL with GitHub Copilot

Legacy codebases, like those written in COBOL, serve as the backbone of many established industries. While these systems are reliable, they are often attached to outdated paradigms that challenge integration with newer technologies, lead to increased maintenance costs, and face a diminishing talent pool for support. Migrating from COBOL to a more modern language is a transformative and challenging process.

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Modernize your COBOL codebase with GitHub Copilot

Download the whitepaper to explore how GitHub Copilot can transform your legacy systems. Discover the best practices we've developed to help leading organizations achieve smoother migrations and revitalize their COBOL codebase.
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Despite the need to evolve, many organizations hesitate, fearing the scale of the challenge and the potential for unforeseen disruptions. There’s a vast difference between procedural COBOL and the contemporary, often object-oriented or event-driven, paradigms of languages like Java and Go. Manually navigating this migration journey can be arduous and error-prone. However, there’s light at the end of this tunnel.

With advanced generative models like those that power GitHub Copilot Business, modernizing COBOL code can be more streamlined and precise. GitHub Copilot (for code completions) and Copilot Chat can assist in translating the code, providing insights into areas for optimization and preserving original functionalities through automated test generation. Through a series of steps, GitHub Copilot will aid your COBOL transformation journey into modern software.

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