Claude Code is an agentic coding tool you use from a terminal. Point it at a project and give it a concrete task: it can inspect the code, explain how a feature works, edit files, run commands and help with Git work. You remain responsible for setting the scope and checking its changes. Its everyday value is in moving through a development task—from understanding a codebase to verifying a change—not in treating generated code as automatically correct.
Start by exploring the code before changing it
When you inherit an unfamiliar repository or need to trace a behavior, begin with a question rather than an edit. Anthropic’s overview and workflow examples illustrate questions such as “what does the payment processing system do?”, “find where user permissions are checked,” and “explain how the caching layer works.”
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Use the answer to identify relevant files and dependencies, then narrow the next request. For example, ask it to explain the path a payment request follows before asking for a change to one part of that path. Treat the explanation as a guide for your own inspection: confirm important details in the code rather than assuming the first answer is complete.
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Claude Code can work on requested edits and run development commands in the project. A useful loop keeps the task specific and reviewable:
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- Describe the outcome. State what should change, what should stay unchanged, and any relevant constraints, such as supported behavior or files that should not be touched.
- Ask it to inspect first. Have it locate the implementation and explain the likely impact before editing when the change crosses unfamiliar code.
- Review the resulting diff. Check that the edits match the request, fit the existing design and do not introduce unrelated changes.
- Run appropriate checks. Ask it to run the relevant tests, linter or other project command, then inspect failures and decide whether they need fixing.
Anthropic documents these as supported workflows, not as evidence that changes are always correct or that development time is reduced. The checks and human review remain important, especially for changes affecting permissions, payments, data handling or other consequential behavior.
Choose the right way to run Claude Code
An interactive terminal session is suited to work that benefits from follow-up questions: explore, refine the task, review an edit and ask for a correction. The CLI also has a non-interactive print mode for one-shot requests, scripts and pipelines. The modes differ in how the work is directed and how results are handled; neither removes the need to control access and inspect consequential output.
| Use | How it works | When it fits |
|---|---|---|
| Interactive session | Start a terminal conversation and continue with follow-up requests. | Exploration, iterative edits and work requiring human review between steps. |
| Print mode | Run a one-shot request with claude -p; the CLI can also accept piped content. |
Passing a file or log into a request, or calling Claude Code from a script or pipeline. |
The CLI reference documents session continuation and resumption, output formats including text, json and stream-json, model selection, turn limits, and tool allow/deny options. Those controls are useful when integrating a call into automation: limit what it can do, constrain how many turns it can take, and choose an output format the surrounding process can handle.
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Use it for Git work around the code change
Anthropic lists Git-related tasks including searching history, committing changes, creating a pull request, rebasing and resolving conflicts. These can be useful after an implementation or while investigating how a behavior evolved. Keep review in the workflow: inspect the proposed commit or conflict resolution, and confirm the branch and changes before treating the Git operation as complete.
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Extend repository work with MCP connections
The Model Context Protocol (MCP) is a way to connect Claude Code with external tools and data. Anthropic’s MCP documentation describes examples involving issue tracking and documentation, databases, and infrastructure or deployment services. A connection can make a workflow reach beyond the local repository, but what Claude Code can access depends on the particular MCP server and the permissions granted to it. Do not assume a service is built in or available without configuration.
Keep permissions in view, especially for automation
Commands and connected tools can have effects beyond producing text. Before allowing an unattended or repeatable run, decide which tools it may use, what inputs it can access, and which actions should require human approval. The CLI reference documents permission controls, including an option named --dangerously-skip-permissions that it labels for use with caution. Bypassing permission prompts should not be the default approach; use the available controls to keep access aligned with the task.
Check current setup requirements before installing
Anthropic’s setup guide is the place to confirm current installation, platform and account details. The retrieved guide lists macOS 10.15 or later, Ubuntu 20.04 or later or Debian 10 or later, and Windows 10 or later using WSL or Git for Windows; it also lists at least 4 GB of RAM, Node.js 18 or later, and an internet connection. Because these are setup details that can change, check the live guide rather than relying on them as a permanent compatibility list.
The same guide describes installation through npm and alternatives, and names Anthropic Console, Claude Pro or Max, and enterprise platform configurations such as Amazon Bedrock or Google Vertex AI as authentication or deployment routes. Which route is available depends on current eligibility and configuration, so confirm the guide for the account or organization you intend to use.
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