Explore existing problems with AI-assisted coding. AI tools need to give developers more structure, more control, and more ways to test and trust what gets built.
Use JUnit 5’s @ParameterizedTest with @EnumSource and @MethodSource to run tests with multiple data inputs, improve test coverage, and efficiency for robust applications.
Cloud sprawl is inevitable — but complexity isn’t. IaC alone isn’t enough. Real control comes from visibility, automation, and enforcing every change through code.
Zero "agentic AI". Zero "cloud native". Zero other hype. Just an approach to achieving an efficient AI-centric automation using 100% free open-source components.
Learn how to build scalable, resilient backend workflows on Google Cloud using state machines, Workflows, Eventarc, and more with real-world use cases.
Learn to build a no-code AI bot to generate test cases from user stories using ChatGPT. Customize tone, behavior, and export structured test scripts easily.
Handling password-protected PDFs in JavaScript isn’t as hard as it seems. This guide shows how to use OSS libraries to open secured PDFs in the browser.
Introductory article about MCP, a universal adapter that allows AI assistants to access and interact with external systems while maintaining a consistent interface.
Discover how tail sampling in OpenTelemetry enhances observability, reduces costs, and captures critical traces for faster detection and smarter system monitoring.
Learn to use AWS SNS (Amazon Simple Notification Service) messaging service to publish a message to an email address as a subscriber using Spring Boot.