Skip to content
Ebooks & Whitepapers
Ebook

Modernizing COBOL with GitHub Copilot

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 While these systems are reliable, they are often attached to outdated paradigms that challenge integration with newer technologies, lead to increased maintenance costs, and face a diminishing talent pool for support.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

Share
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

Explore other resources

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.

Was Kl für die Zukunft von DevOps bedeutet

Beim Ausschöpfen des vollen Potenzials von KI geht es nicht nur darum, in vereinzelten Phasen die Produktivität zu steigern. Es geht darum, während des gesamten Softwareentwicklungszyklus einen echten organisatorischen Mehrwert zu schaffen.

Learn more
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.

KI-Leitfaden für Engineering-Führungskräfte

Die KI-Programmierung ist da. Entwickelnde haben sie akzeptiert und nutzen bereits verschiedene Tools für die KI-Codegenerierung, um ihre Codierungsfunktionen zu erweitern und einen Teil ihrer alltäglichen Aufgaben abzugeben.

Learn more
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."

6 DevOps-Tipps, um leitenden Entwickler*innen bei der bedarfsgerechten Bereitstellung von Software zu helfen

Erfahren Sie, wie Sie hochwertige, sichere Software schneller bereitstellen können – mit sechs praktischen DevOps-Tipps von leistungsstarken Großunternehmen.

Learn more