Understanding a failure often means following it across several files: the code that sends a request, the code that catches the error and the test that claims to cover it. Claude Code can help trace that route. Anthropic’s coding assistant reads project files, edits code and runs development commands from a terminal, so you can ask a question and then work on the answer in the same session. It is a practical option when Claude access already fits your team and you want help moving between an explanation of the code and a change you can test.
01Fit
02Requirements
Installing the program does not by itself provide model access. Subscription and API-backed sessions have different allowances and billing, so check which account Claude Code is using. The cost guide explains the arrangements and how to keep track of usage.
Check current access and pricing03Setup
The command below is the official installer for macOS, Linux and Windows Subsystem for Linux, or WSL. Native Windows users should use the PowerShell or CMD instructions in the quickstart. As with any installer that downloads a script, review it before running it.
curl -fsSL https://claude.ai/install.sh | bashOpen a new terminal and run claude --version. If it prints a version number, your shell can find the program. Keep that number with any notes about your setup, especially if you later need to investigate a change after an update.
claude --versionRun claude in the project directory and complete sign-in. Before requesting an edit, open /permissions to see the active mode. Depending on the version and settings, some modes can approve actions automatically; the session’s actual configuration determines which actions will pause for you.
claude04Using Claude Code
An API client is the part of an application that talks to another service. Its normal path may be easy to understand, while timeouts, rejected requests and other failures take different routes through the code. If you are investigating one of those failures, ask Claude Code to follow it through a single client. This keeps the question close to an actual debugging job and gives you files you can read alongside its answer.
What to ask
Trace how this API client handles a failed request, from the response or exception through to what the caller receives. Point me to the source and tests for each part. Where is that behavior unclear or untested? Explain any test you would add, and wait before changing files.
You can now explain what happens to the failure as it travels through the client. If you add a test, you also know which part of that route it exercises. That makes it easier to discuss the fix with a colleague or investigate the next client without starting from scratch.
05Next steps
After a few similar jobs, you may notice that the same context is missing each time: where the client tests live, how to run them or what the project expects callers to receive. Those details are useful candidates for reusable instructions. The operational-skills guide explains how to turn a recurring task into something another person can understand and the assistant can repeat.
Read the guidanceA source-level explanation can identify a plausible failure, but an incident also raises questions about what happened in the running service and whether it has recovered. The evaluation guide shows how to compare an assistant’s account with separate checks you control. It includes the cases where the available information leaves recovery unresolved.
Read the guidance06Alternatives
07Evidence and scope
Based on official documentation reviewed September 30, 2026. The example is illustrative; this guide does not report an installation, benchmark or production test.
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