Join the Keyhole Software Team Location: Lenexa, KS (Hybrid: On-site M/W/F; Remote T/Th)Eligibility: Candidates must be authorized to work and reside in the United States. No Corp-to-Corp (C2C) or Contract-to-Hire (C2H) arrangements. At this time, Keyhole Software is unable to provide visa sponsorship of any kind. About the Role Keyhole Software is seeking a Java/Spring Developer with hands-on database migration …
Spring AI: An Overview
Integrating AI into Java projects has traditionally been complex—requiring multiple SDKs, custom integrations, and provider-specific code. Spring AI simplifies this process by providing a single, consistent layer for working with large language models in Spring Boot. No more stitching together libraries or rewriting code for every provider. In this guide, we’ll explore what Spring AI is, why it matters for …
Spring Boot Performance Tips: How We Optimize Enterprise Apps
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, we’ve seen how even small performance hiccups can slow down big applications. That’s why we’re sharing these practical Spring Boot performance tips to help your app run faster …
Why We Love Spring Boot—And When It’s Not the Right Choice
Faster development and fewer headaches make Spring Boot a favorite for many Java teams. It promises quick setups, simpler management, and a smoother path from idea to application. At Keyhole Software, we’ve seen how these benefits can transform projects, but we also know there are times when Spring Boot isn’t the right fit. Here’s what we’ve learned about where Spring …
AI-Accelerated COBOL Modernization to Spring Batch
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 client’s system. Download the case study –
