Skip to content
GitHub Copilot is now available for free. Learn more
Ebook

Modernizing COBOL with GitHub Copilot

September 26, 2024

The image features a dark background with an array of AI-inspired shapes positioned behind the foreground text which reads "Modernizing COBOL with GitHub Copilot." A blur filter has been applied to the background.Get the ebook

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 While these systems are reliable, they are often attached to outdated paradigms that challenge integration with newer technologies, lead to increased maintenance costs, and face a diminishing talent pool for support.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.

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.

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.

TagsSoftware DevelopmentAI
The image features a dark background with an array of AI-inspired shapes positioned behind the foreground text which reads "Modernizing COBOL with GitHub Copilot." A blur filter has been applied to the background.

Read the ebook

Loading CAPTCHA...

Explore other resources

What AI Means for the Future of DevOps

A dark background with an array of AI-themed shapes and illustrations are blurred behind the foreground text, which reads "AI-driven DevOps for modern software development". The accompanying description highlights how combining AI and DevOps platforms can lead to innovative solutions at scale.

Harnessing AI's full potential isn't just about boosting productivity in isolated phases—it's about driving real organizational value across the entire software development lifecycle.

Learn more

The engineering leader’s guide to AI

The alt text for this image is as follows: A dark background with an assortment of Enterprise themed shapes and illustrations are positioned behind the text. The foreground text reads "The engineering leader's guide to AI. Ask these questions to find the right AI solution for your team." A blur filter is applied to the background.

AI coding is here. Developers have embraced it and already use various tools for AI code generation to augment their coding capabilities and offload some of their more mundane tasks.

Learn more

6 DevOps tips to help engineering leaders deliver software at scale

In this landscape image, a dark background with blurred Productivity themed shapes serves as a backdrop to the text in the foreground. The text reads, "6 DevOps tips to help engineering leaders deliver software at scale."

Learn how to deliver high-quality, secure software faster with six actionable DevOps tips drawn from high-performing enterprise companies.

Learn more