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Claude Code: A 7-Day Field Guide for Working Engineers

Learn a safe first-week routine for Claude Code, from setup and codebase exploration to bounded changes, test verification, session choices, and project memory.

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Claude Code is an agentic coding tool Anthropic runs from a terminal. A useful first week is not about handing it an entire project; it is about learning how it reads your repository, giving it one bounded task, and checking its work yourself. This seven-day routine moves from setup to exploration, implementation, debugging, and a repeatable review process.

Day 1: How do I get started with Claude Code?

Use Anthropic’s live setup guide for installation, authentication, and updates. Those details can change, so follow the current instructions for your operating system and account rather than relying on a static list of requirements. Anthropic warns against installing globally with sudo npm install -g; after installation, check the setup with claude doctor.

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  1. Install and authenticate using an option currently supported in the setup guide.
  2. Open a terminal in a repository you are permitted to use with the tool.
  3. Start Claude Code and confirm it can operate in the intended project directory.
  4. Use claude doctor to check the installation if something seems wrong.

Keep the first session low-risk. Avoid starting with production credentials, sensitive repositories, or a request to make broad changes. Review the permissions Anthropic describes in its security guidance, and grant only what the task requires.

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Day 2: How do I use Claude Code in an existing codebase?

Begin with a question that tests whether Claude Code has found its way around the repository, not with an instruction to edit files. Anthropic’s workflow examples cover codebase exploration and common engineering tasks. Use them as a model for a read-oriented first session.

  • Ask for a brief map of the application’s main components and entry points.
  • Ask where a particular request or event enters the system and how it reaches the relevant handler.
  • Ask which tests exercise that behavior and how they are run.

Check the answer against files, tests, and conventions you already know. If it names an incorrect entry point or misses an important module, correct the context before asking for a change. This gives you an early chance to judge whether the tool has understood the project; no particular prompt guarantees a correct account.

Day 3: Give it one bounded change

Choose a small issue with an observable outcome. State what should change, what must remain unchanged, and any scope constraints. For example: ask it to add validation for one input, preserve the existing response format, and identify the relevant tests before editing. The example is a prompt pattern, not a guarantee that the resulting implementation will be right.

Claude Code’s workflow supports interactive coding, but treat proposed edits as proposals. Read the change before accepting it, and do not approve a command or edit you cannot explain. Anthropic’s guidance on permissions and security is relevant throughout the session, not just during installation.

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Day 4: Can Claude Code help debug a failing test?

Yes: give it the failing test, the error output, and relevant constraints, then ask it to trace a likely cause before proposing a fix. Anthropic’s workflow documentation includes debugging as a coding workflow. Keep diagnosis and verification separate: a plausible explanation is a hypothesis, not proof.

  1. Run the failing test yourself and provide the exact failure and command context.
  2. Ask Claude Code to locate the code path involved and explain its diagnosis before changing files.
  3. Review any proposed fix and its scope; reject unrelated cleanup unless you explicitly want it.
  4. Run the relevant test again, then run additional project checks that the change could affect.

If the test passes, inspect whether it actually covers the reported failure and whether the fix introduces a regression. The engineer remains responsible for deciding whether the diagnosis, code, and verification are sufficient.

Day 5: Choose the right way to run a task

The CLI supports interactive use, noninteractive print mode, and continuing or resuming sessions. Flag names and behavior can evolve, so check Anthropic’s current CLI reference for the installed version before scripting around them.

Mode Best fit Trade-off
Interactive session Exploration, changing requirements, or work where you want to review actions as they arise. Requires you to stay engaged and supervise the session.
Print mode A bounded, scriptable task where the expected input and output are clear. Less suitable when the task needs iterative clarification or close, step-by-step supervision.
Continue or resume a session Returning to work that benefits from an earlier session’s context. Confirm which session and context you are restoring; do not assume old context is still complete or current.

For a first week, interactive work is the safer default for unfamiliar tasks. Use a noninteractive command only when you understand what it will do and can still review its output and any resulting repository changes.

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Day 6: Decide what context should persist

Session context is useful for the task in front of you; project memory is for guidance that should remain useful across sessions. Anthropic documents memory and settings separately. Consult those live references for file locations, precedence, and configuration syntax rather than assuming a path or rule from an older example.

Choice Persistence Good use Cost to manage
Session-only context Limited to the current session or resumed session context. Temporary task details, investigation notes, or constraints that may soon change. Repeat useful context when starting fresh.
Project memory Designed to provide durable project guidance across work. Stable conventions or recurring instructions that apply to many tasks. Review it as the codebase changes so stale guidance does not mislead future sessions.

Promote only information that is both reusable and likely to stay accurate. Keep one-off debugging details in the session rather than turning them into permanent project instructions.

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Day 7: Add automation only when repetition justifies it

Hooks can automate actions around Claude Code’s workflow; Anthropic documents their configuration in its hooks reference. They are optional, not a prerequisite for effective repository work. Start with a narrow action whose trigger and effects you understand, inspect its configuration, and test it in the repository before relying on it.

Approach Repeatability Setup and review
Manual steps You perform the check when needed. Little setup; easy to see and adjust in the moment.
Hooks A configured action runs at the relevant workflow point. Requires setup and testing; review the trigger and behavior when repository practices change.

Automate a step only after you know it is safe and useful to repeat. Do not use hooks to hide consequential actions or to sidestep permission prompts. Keep permissions scoped to the work and maintain human review of commands and changes, following Anthropic’s security guidance.

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A repeatable routine for repository work

Use this checklist whenever you start a task with Claude Code:

  • Scope: State the desired result, constraints, and boundaries of the task.
  • Context: Start with exploration if the relevant code path or tests are not clear.
  • Permissions: Grant only access needed for the task and inspect permission requests.
  • Review: Examine the proposed edits and commands before accepting them.
  • Verify: Run the relevant tests and checks yourself, then inspect the final diff.
  • Retain: Save stable, reusable project guidance; keep temporary details in the session.

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