Getting Started with Claude Code

What Claude Code is

Claude Code is Anthropic's coding agent that lives in the terminal. You open a project folder, start Claude Code, and collaborate with it against the files in that workspace. It can inspect a codebase, explain architecture, propose edits, write tests, work with images, reference files, and help you move from a fuzzy task to a reviewable result.

The terminal part matters. Claude Code sits close to the actual work. It is good when the human wants to stay in the loop, approve changes, and keep the conversation tied to a local folder.

At HowDoWe.AI, we think Claude Code is especially useful for teams that have:

1. Repos with uneven documentation.
2. Internal tools that need careful small changes.
3. Markdown-heavy operating systems, like docs, notes, SOPs, and playbooks.
4. Developers or operators who want a conversational partner without leaving the local project.
5. A habit of reviewing diffs before accepting work.

If the team needs background pull requests from GitHub, compare Claude Code with Codex and GitHub Copilot cloud agent. If the team needs synthesis before file edits, start with ChatGPT for operators.

The best first Claude Code task

Do not begin with "build the whole feature." Begin with orientation.

Use this:

Give me a practical overview of this project. Identify the main folders, the app framework, the data flow, how tests are run, and the three areas a new contributor should understand first. Do not edit files.

Then ask:

Find the files that control the intake form. Explain how data moves from the form to the API endpoint. Call out any validation, email, analytics, and redirect behavior. Do not edit files yet.

That gives you a map. Once the map is right, ask for a narrow change:

Update only the intake form helper copy so it is clearer for documented operators evaluating AI implementation. Preserve the existing fields, validation, layout, and analytics attributes. Show the diff and tell me what to test.

The sequence is simple:

1. Ask for a map.
2. Ask for the risky parts.
3. Approve one edit.
4. Review the diff.
5. Run tests or checks.

How to install and start

The official quickstart documents the current install paths, login flow, and first session commands. The common pattern is:

cd /path/to/your/project
claude

Once inside a session, use prompts that name the goal and the constraint. Claude Code can help you discover commands, but you should still know which checks count as done for your project.

Useful first commands and habits:

1. Use /help to inspect available commands.
2. Use /resume or continue options when a task spans multiple sittings.
3. Reference files directly when you know where context lives.
4. Ask for a plan before edits.
5. Keep risky tasks behind human approval.

Claude Code can also work in non-code folders. That is more important than it sounds. Many companies do not need their first AI win in production code. They need their SOPs, project notes, implementation plans, and support docs cleaned up so agents and humans can use them.

Claude Code for documented operators

A documented operator is a team that already has the knowledge somewhere. It may live in Notion, Drive, Obsidian, Slack exports, ClickUp tasks, Asana projects, PDFs, or a docs folder. The problem is not absence of knowledge. The problem is that the knowledge is not connected to execution.

Claude Code can help when that operating context is stored as files:

1. Reorganize a docs folder.
2. Turn meeting notes into SOP updates.
3. Find contradictions between old playbooks and current workflow notes.
4. Create a glossary for project-specific terms.
5. Convert a client delivery checklist into a reusable template.
6. Draft AGENTS.md or CLAUDE.md style instructions for future AI work.

This is why Claude Code can be a good first AI platform for operators who live in markdown, documentation, and local systems. It lets the team turn loose context into structured context before building automations.

What to put in a project instruction file

Claude Code works better when the project explains itself. A project instruction file should not be a manifesto. It should be a practical operating brief.

Include:

1. What this project is.
2. Who uses it.
3. How to run checks.
4. Which files are generated.
5. Which directories should not be edited casually.
6. Style conventions.
7. Security rules.
8. How to report uncertainty.

Example:

This repo powers the HowDoWe.AI studio site.
Preserve the field manual editorial style.
Use existing Astro components before adding new ones.
Run npm run build before claiming the work is done.
Do not alter analytics, environment variables, or deployment settings unless the task explicitly asks for it.
When unsure, explain the risk and propose the smallest reversible step.

That kind of instruction turns an agent from a clever autocomplete system into a more reliable collaborator.

Claude Code vs Codex

Both tools can help with code. The difference is usually workflow.

Use Claude Code when the operator wants to sit with the agent and steer. Use Codex when the task is ready to delegate into a contained execution loop.

For a fuller side-by-side breakdown, see the Codex vs Claude Code guide.

Mistakes to avoid

Do not let Claude Code edit before it understands the project. Ask it to inspect first.

Do not treat terminal access as harmless. Commands can modify files, install packages, or touch data. Keep permissions aligned with the task.

Do not ask for broad refactors unless the team has tests, review time, and a rollback path.

Do not keep every decision inside the chat. When a good pattern emerges, write it into docs so the next agent has the context.

A good first week with Claude Code

Day 1: Ask for a project map.

Day 2: Create or improve project instructions.

Day 3: Use Claude Code to update one piece of documentation.

Day 4: Ask it to find a small bug or inconsistency without editing.

Day 5: Approve one small fix.

Day 6: Run checks and review the diff.

Day 7: Save the successful prompt as a team playbook.

The goal is not to prove Claude Code can do everything. The goal is to build trust in a repeatable loop.