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 ...

In this article, we are going to learn how to connect LM Studio to VS Code. Connecting LM Studio to VS Code allows developers to use locally hosted AI models directly inside their coding workflow. How ...

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

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 ...

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

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 ...

This is a preview version of the Android for VS Code Extension. The extension allows developers to install, launch and debug Android Apps from within the VS Code ...