Abstract: Large Language Models (LLMs) have precipitated emerging trends towards intelligent automation. However, integrating LLMs into the hardware debug domain encounters challenges: the datasets ...

Resolve AI, the production-operations startup backed by Greylock and Lightspeed Venture Partners, today announced a sweeping expansion of its platform that introduces always-on background agents, a ...

Observability startup Raindrop AI’s new open source, MIT Licensed "Workshop" tool, launched today, gives developers something that they've likely wanted, perhaps subconsciously, since the agentic AI ...

Cursor AI Coding is reshaping how developers build software by combining a GPT-powered IDE with intelligent automation. Instead of switching between tools, developers can rely on a single AI coding ...

The Java ecosystem has historically been blessed with great IDEs to work with, including NetBeans, Eclipse and IntelliJ from JetBrains. However, in recent years Microsoft's Visual Studio Code editor ...

R, a powerful statistical programming language, offers the ability to compile code for performance gains. However, this often comes with a trade-off: debugging compiled code can be challenging. Enter ...

Incidents are common, and the remediation window is the risk: 23% reported a container security incident, and delays between disclosure and patching can leave known exposures in production. Java ...

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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 ...

Advanced debug logging is the cornerstone of high-performance applications. Whether working in cloud-native, microservice or monolithic architecture, strong debug logging practices enable developers ...

We’ll admit it. We have access to great debugging tools and, yes, sometimes they are invaluable. But most of the time, we’ll just throw a few print statements in whatever program we’re running to ...