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Debugging is an essential skill that allows software developers to prevent crashes and maintain reliable code. Virtually all applications run into bugs at some point, due to logic errors, unexpected inputs or system interactions. It’s vital that we have effective tools and processes to resolve them. This guide will give you a step-by-step guide to debuggging, highlighting common error types with practical means to resolve them.

An effective JavaScript debugging process is vital for any web developer. Over 95% of the web is built with JavaScript code, but the language carries its own distinct challenges due to its unique runtime model. This guide will help you master these challenges and become truly fluent in the Internet’s first language. You’ll learn about: You’ll leave with a process that works in any case, no matter how edgy.

One API request took 302 milliseconds. Nothing failed. CPU was mostly idle. The response was correct. The trace made the problem obvious: eight inventory calls, each waiting for the previous one. But the trace could not tell me why the application made eight calls, or whether changing their execution would preserve the response. It showed the shape of the wait, not the input that created it.

Xcode debugging tools integrate smoothly with the rest of the Xcode ecosystem and offer myriad benefits to developers, including powerful breakpoints and source-level visibility. This guide will help you unlock them. We’ll equip you with the knowledge to: If you’ve come for a specific piece of knowledge, here’s the full list of contents so you can go straight there.

An effective Java debugging strategy lets us pause execution, inspect data, and observe real execution rather than relying on vague assumptions. The complexity of the Java Virtual Machine creates unique challenges, but a focused approach will turn this complexity to our advantage. This guide will equip you with the tools to do this, looking at: By the end, you’ll have a practical workflow to debug Java reliably across local and remote environments.

Debug logging is a particular form of logging that records detailed information about how an application behaves during execution, so we can identify, understand, and fix issues. This guide will give you a rookie-to-pro guide to debug logging, showing you: By the end, you will have a clear, practical approach to using debug logs effectively in real applications.

Debugging tools have evolved from rudimentary catch-all software into specialist solutions for different languages, userbases and development stages. The best debugging strategies choose the right tool for their specific use case, and this guide will help you do that. We’ll give you the knowledge to: We’ll mention our own product in this list, but don’t worry: the content you’ll find here is impartial, comprehensive and educational, not salesy.

Memory leaks are among the most frustrating production issues to investigate. At first, everything looks normal. Requests are processed successfully, users aren't reporting problems, and the application appears healthy. Then memory usage starts climbing. Garbage collection runs more frequently. Performance degrades. Eventually, the process becomes unstable or crashes altogether. Detecting a memory leak isn’t even half the battle.

Earlier this year, our team launched the N|Solid Extension, a Node.js production debugging and observability tool designed for modern development environments. The goal was simple: help developers investigate production issues without constantly switching between dashboards, monitoring platforms, and their editor. Instead, runtime telemetry, diagnostics, security insights, and AI-assisted workflows could live directly where developers already spend most of their time.

The Multiplayer debugging agent is purpose-built for developers working with coding agents. It captures all the data observability tools miss and manages the whole process from bug identified to bug fixed. AI coding assistants are great at writing code. They are not great at fixing bugs in production and the reason is simple: they don’t have runtime visibility.