Claude Code can diagnose PC performance issues without coding

Beyond the developer tools

Claude Code is primarily known as an AI-powered coding assistant from Anthropic. However, it has a secondary utility that is useful for everyday computer users who are experiencing performance issues. It can look inside a PC or Mac to see what is happening under the hood.

Instead of spending hours searching online forums or downloading various optimization apps, users can ask the AI to investigate their system. The tool can examine hardware specifications and identify potential bottlenecks that might be causing a sluggish experience. This makes it a viable option for people who want to understand their hardware without being tech experts.

As Tom's Guide reported, this feature is particularly helpful for those who aren't sure if they need to buy a new laptop. By using the AI to audit the current machine, users can get a clear picture of whether the hardware is underperforming or if the software is simply cluttered.

How the diagnostic works

To use this feature, users need a paid Claude plan or API access to run Claude Code on Windows or macOS. Unlike the standard chatbot, this version can interact with files and run approved commands on the local machine. It is important to keep the tool in a mode that requires manual approval before any commands are executed.

Users can provide a specific prompt that instructs the AI to act as a performance technician. This prompt tells the AI to identify the CPU, RAM, storage drives, and operating system while checking for common issues. The instructions should explicitly limit the AI to read-only diagnostic commands to ensure it does not change any settings or delete files.

The AI then gathers this data and compiles a report in plain English. It separates confirmed problems, such as low disk space or too many startup apps, from possibilities that require further investigation. This structured approach helps the user understand the results clearly.

Common issues it can find

Claude Code is capable of spotting several specific types of performance drags. One example is memory running at a lower speed than the hardware allows, which can happen if certain profiles are not enabled in the BIOS. The AI can compare the reported speeds against the actual hardware specifications.

The tool can also look for storage problems, such as a drive that is nearly full or sustained disk activity. It can identify background processes that are consuming excessive resources even when the user is not actively using the computer. Additionally, it can flag too many startup apps that might be slowing down the initial boot time.

Other areas of investigation include display settings and refresh rates. A monitor running at a lower refresh rate than expected can make a powerful computer feel less responsive. While the AI can check these settings, it may not be able to identify physical issues like an incompatible cable.

Prioritizing the fixes

Once the AI identifies the problems, the next step is determining which actions will actually help the most. Users can ask the AI to rank the top five changes most likely to improve everyday performance. The AI can then explain the expected benefits, the level of risk involved, and whether the fix will cost any money.

The goal is to prioritize reversible changes that do not require technical experience. For example, the AI might suggest reviewing unnecessary startup apps or clearing storage space. These are generally safer than changes involving firmware, BIOS settings, or memory overclocking, which could make a computer unstable.

It is important to note that the AI should not make these changes automatically. By keeping the AI in a consultative role, the user maintains control over their system. This allows the user to verify the AI's suggestions before applying any modifications to their hardware or software configurations.

Verifying the results

A common mistake in PC optimization is assuming a change worked just because the computer feels slightly different. To get accurate results, users should ask the AI how to compare performance before and after a fix. They can use tools like the Windows Task Manager to monitor CPU, memory, and disk activity during these tests.

The best practice is to change only one thing at a time. This makes it much easier to identify which specific action actually improved the speed. Sometimes, the AI might reveal that the hardware is already performing exactly as it was designed to.

Using Claude Code provides a quick way to get answers without calling a technician. While it does not guarantee a faster computer and can occasionally misinterpret results, it serves as a helpful first step. It helps users decide if they need a new machine or if a simple fix will suffice.