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 ...

As enterprises embrace agentic AI and vibe coding, Secure Code Warrior CEO and co-founder Pieter Danhieux warns that ...

The terminal's not so scary anymore ...

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, ...

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The effectiveness of AI debugging follows a predictable exponential decay pattern; most models lose 60-80% of their debugging capability within just 2-3 attempts, despite iterative debugging being a ...

An MCP server that enables Claude Code and other LLM tools to debug Java applications through the Java Debug Wire Protocol (JDWP). Attach to running JVMs, set breakpoints, inspect variables, and step ...

Minecraft: Java Edition, which is written in the Java programming language. This is expected to make it easier for users to create, update, and debug mods. Minecraft: Java Edition is a version of ...