2026 Java trends: TIOBE and Stack Overflow rankings, enterprise adoption by industry, Spring Boot and framework data, Java version distribution, AI/ML integration, and runtime performance benchmarks.
How We Used LLMs to Understand and Modernize a Legacy Delphi Application
Many legacy modernization projects start with a simple question: what does this thing actually do?
In this project, we were modernizing a decades-old Delphi application with limited documentation, no meaningful test coverage, engineers long since moved on, and significant unknowns about the environment in which it operated.
Modernizing legacy systems is challenging, particularly when documentation is limited and system knowledge has been lost over time. When LLMs and AI are applied thoughtfully, they can help teams understand legacy systems faster and reduce modernization risk.
This article focuses on how we used LLMs to understand, document, and de-risk an unfamiliar legacy system before modernization began. Once the application was understood and the architecture was defined, the team leveraged AI-assisted development workflows to accelerate the Delphi-to-.NET rewrite itself. Evan Sanning shares that side of the project in his companion article, How We Used LLMs to Rewrite a Legacy Delphi Application in C#.
Learning JavaScript After Java: 3 Key Reminders for Developers (From “Car” to “Carpet”)
In this post, I’ll walk through a few key reminders that helped me while making the transition from Java to JavaScript, especially while working with React and React Native.
How to Prevent Retry Storms with Responsible Client-Side Retry Policies
A retry storm occurs when large numbers of client applications retry failed requests simultaneously, spawning additional traffic that overwhelms already unstable systems.
While much of outage prevention rightly focuses on backend systems—load balancers, API gateways, circuit breakers, and queues—client-side retry policies play a critical but often overlooked role in system resiliency. Preventing retry storms requires treating client-side retry behavior as a core part of system resiliency.
In this article, we’ll explore how retry storms form, how client applications unintentionally amplify traffic, and what development teams can do to implement safer, smarter retry behavior.
Empowering Through DevOps Enablement & Cloud-Native Transformation
Keyhole Software partnered with a national grocery distribution organization to accelerate the modernization of its legacy COBOL systems by implementing a cloud-native microservices architecture on Microsoft Azure. In an environment with limited DevOps maturity, Keyhole played a pivotal role in establishing both the technical foundation and cultural framework for scalable, developer-driven software delivery and ongoing digital transformation. Our Approach A …