Claude Code: How to Get More Done With Fewer Tokens

Claude Code is one of the most powerful AI coding tools available, but its token usage can add up fast if you're not thoughtful about how you use it. Here are concrete tips to get more out of every conversation.

Write Specific, Directed Prompts

Vague prompts lead to exploratory behavior. Claude Code will read more files, try more approaches, and generate more output — all of which costs tokens.

Instead of "fix the bugs in my app", try "the login form in src/components/LoginForm.tsx doesn't validate email format — add email validation using a regex check."

The more specific you are about what and where, the fewer tokens Claude Code needs to spend figuring that out.

Use CLAUDE.md Effectively

Your CLAUDE.md file is loaded into every conversation. This is powerful but also means every word in it costs tokens on every interaction.

Keep it focused:

  • Project-specific conventions (naming, patterns, tools)
  • Commands to run tests or builds
  • Architectural decisions that affect code generation

Don't include general programming advice or documentation that Claude already knows.

Point to Files Instead of Pasting Content

When you need Claude Code to work with specific code, reference the file path rather than pasting the content. Claude Code can read files directly, and this avoids duplicating content in the conversation context.

Say: "Update the handler in src/api/users.ts" rather than pasting the entire file contents.

Break Large Tasks Into Smaller Conversations

Context grows with every message in a conversation. A 50-message conversation carries the weight of all previous messages in its context window.

For large refactoring tasks, consider breaking the work into focused conversations:

  1. One conversation to plan the approach
  2. Separate conversations for each component or module
  3. A final conversation to verify and integrate

Use Plan Mode for Complex Tasks

Before diving into implementation, use /plan to have Claude Code design the approach first. This often prevents expensive false starts where Claude writes code, realizes the approach is wrong, and rewrites everything.

Planning costs fewer tokens than re-doing implementation work.

For more on managing context and reducing token waste, see our guide to context engineering or the complete guide to LLM token optimization strategies.