New root cause analysis technology gives AI coding agents the ability to diagnose application failures and deliver actionable debugging insights with less developer involvement.

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

Abstract: Spectrum-based fault localization (SBFL) techniques can automatically localize software faults. They employ the program spectrum, such as code coverage profile with test verdicts, to rank ...

The compiler infers, but does not take instructions. There is no syntax for explicit type declarations yet, and the new type ...

The startup says its monitoring platform is designed for engineering teams at startups that are using AI coding tools like ...

VS Code’s secret weapons ...

In the past, the CI/CD pipeline was simply a place to integrate code. Developers would write their code in GitHub, pass it through the pipeline, and then deploy it. The pipeline has become a much more ...

Elon Musk's SpaceX has been making headlines for the past few weeks for its much-awaited IPO that is set to make many people ...

Your TV's RS-232 port is a seriously useful automation tool - how to unlock its full potential ...

A software engineer with five years of experience shared the advice he wishes someone had given him when he was starting out ...

Abstract: Automated program repair is a promising approach to reducing the costs of manual debugging and increasing software quality. However, recent studies have shown that automated program repair ...

Web and application developers are facing continuing pressure for efficiency and are seeking to adopt the latest standards and advancements in the Java language and platform. To address this need, ...