Case Study: Modernizing Legacy COBOL Batch Processing for a Leading Food Wholesaler
Keyhole Software successfully modernized a legacy COBOL batch processing system, addressing inefficiencies and integration challenges through an AI-optimized POC. Keyhole accelerated development efforts by 20-30% leveraging AI-driven tools in the migration from COBOL to Spring Batch, enhancing scalability, maintainability, and cloud-native capabilities for the clientโs system. Download the case study –
Home→Search ResultsHighlights & Keyhole Software delivers expert custom software development, application modernization, and consulting solutions across industries, including healthcare, insurance, finance, logistics, and more. Weโre honored by the trust organizations place in our team and backed by a strong track record of technical excellence and client success. Let’s TalkLast Updated on October 3, 2025Licenses Founded in 2008, Keyhole Software …
In this post, weโll explore how to use GitHub Copilot to generate Java code and unit tests with minimal manual input. Using a real-world exampleโa mortgage calculator serviceโyouโll see how Copilot can help write both the core logic and the corresponding unit tests. Whether youโre new to AI-assisted development or curious about Copilotโs capabilities in a Java environment, this tutorial will give you practical insight into how it worksโand where human oversight still matters.
Streamlined frameworks like Spring Boot make it easier to build enterprise Java applications, but getting them to perform well under real-world loads takes more than just plugging things in. At Keyhole Software, weโve seen how even small performance hiccups can slow down big applications. Thatโs why weโre sharing these practical Spring Boot performance tips to help your app run faster …
This post walks through a hands-on experiment in agentic development using an AI-powered digital twin embedded in the IDE. See how a single, well-structured prompt enabled the agent to implement a real user story, generate behavioral tests, and prepare Git commit documentationโwith minimal developer input. Includes real-world code samples, implementation insights, and a candid look at what worked, what didnโt, and where human oversight is still essential.