Automate Your Dev Workflow with Claude Code

Most developers use Claude Code as an AI pair programmer — ask a question, get an answer, move on. But Claude Code is far more than a smart autocomplete. It's a full agentic system capable of reading your entire codebase, executing commands, managing files, running tests, and completing complex multi-step tasks autonomously.

In this guide, we'll walk through concrete automation patterns that professional developers use with Claude Code to eliminate repetitive work and ship faster.

Getting Started

If you haven't installed Claude Code yet:

npm install -g @anthropic-ai/claude-code
claude

You'll authenticate with your Anthropic account and land in an interactive terminal session. Claude Code can see your current directory, read files, run terminal commands, and iterate on code — all in one flow.

Pattern 1: One-Command Feature Implementation

Instead of:

Read the existing code

Plan the feature

Write it

Test it

Fix bugs

Write tests

Just say:

> Add a rate limiter to the /api/search endpoint.
  Use Redis with a 100 requests/minute limit per IP.
  Add integration tests. Follow existing code patterns.

Claude Code will:

• Read your existing API files to understand patterns
• Check your package.json for existing Redis dependencies
• Implement the rate limiter middleware
• Wire it into the router
• Write integration tests matching your test style
• Run the tests to verify

This single command replaces 1-3 hours of implementation work. The key is giving Claude enough context in your prompt: what to build, constraints, and whether to follow existing patterns.

Pattern 2: Codebase-Wide Refactoring

Refactoring across dozens of files is tedious and error-prone by hand. Claude Code handles this autonomously:

> Rename all instances of `getUserData` to `fetchUserProfile` across
  the entire codebase. Update function definitions, calls, imports,
  and tests. Don't change the public API shape.

Or for larger architectural changes:

> Migrate our REST API error handling to use a centralized
  ErrorHandler class. All routes currently throw different
  error formats — standardize to { error: string, code: string,
  statusCode: number }. Update all 24 route handlers and their tests.

Claude Code will grep for all occurrences, read each file, make targeted edits, and verify nothing is broken — exactly the kind of task that takes an afternoon by hand but 10 minutes with Claude Code.

Pattern 3: Automated Code Reviews

Use Claude Code as a pre-commit reviewer before pushing:

# Add to your git hooks or run manually
git diff HEAD~1 | claude -p "Review this diff for:
  1. Security vulnerabilities (OWASP top 10)
  2. Performance issues
  3. Missing error handling
  4. Test coverage gaps
  Rate each finding: Critical/High/Medium/Low"

Or review a specific file:

> Review src/auth/jwt.ts for security issues.
  Check token validation, expiry handling, and secret management.
  Compare against OWASP JWT best practices.

Pattern 4: Custom Agent Slash Commands

Claude Code supports custom slash commands — reusable prompts you define once and run forever. Create them in .claude/commands/:

<!-- .claude/commands/release-notes.md -->
Generate release notes for this version:

1. Run `git log --oneline v$PREVIOUS_VERSION..HEAD` to get commits
2. Group changes by type: Features, Bug Fixes, Breaking Changes
3. Write human-readable descriptions (not just commit messages)
4. Include migration notes for any breaking changes
5. Format as markdown suitable for a GitHub release

Now run /release-notes and Claude Code generates professional release notes automatically.

More useful custom commands:

<!-- .claude/commands/add-tests.md -->
For the file I specify, generate comprehensive tests:
- Unit tests for all public functions
- Edge cases and error conditions  
- Mock external dependencies
- Follow the testing patterns in existing __tests__/ files
- Aim for >90% coverage of the specified file

<!-- .claude/commands/document.md -->
Document the specified module:
- Generate JSDoc/TSDoc for all exports
- Write a README section explaining the module's purpose
- Include usage examples for the main API
- Document any configuration options

Pattern 5: MCP Integrations for Real-World Automation

MCP servers extend Claude Code with access to external systems. Once connected, you interact with them conversationally:

GitHub MCP:

> List all open PRs on the repo, find any that haven't been
  reviewed in 3+ days, and draft a Slack message summarizing them
  for the team standup.

Database MCP:

> Query the production DB for users who signed up in January
  but never completed onboarding. Export their emails to a CSV
  and suggest 3 re-engagement email subjects.

Linear MCP:

> Create a sprint planning document based on all Linear tickets
  in the current sprint. Group by assignee, estimate total points,
  and flag any tickets with missing acceptance criteria.

Install MCP servers with:

claude mcp add github -- npx @modelcontextprotocol/server-github
claude mcp add postgres -- npx @modelcontextprotocol/server-postgres

Pattern 6: CI/CD Integration

Claude Code runs headlessly in CI pipelines via the SDK:

# .github/workflows/ai-review.yml
name: AI Code Review
on: [pull_request]

jobs:
  ai-review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Run Claude Code review
        env:
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
        run: |
          npm install -g @anthropic-ai/claude-code
          git diff origin/main...HEAD > diff.txt
          claude -p "$(cat diff.txt)\n\nReview this PR for security issues, bugs, and style violations. Post findings as a structured list." > review.txt
          cat review.txt

This gives every PR an automatic AI review before a human looks at it — catching obvious issues early and saving reviewer time for the hard decisions.

Tips for Getting the Most Out of Claude Code

Be specific about constraints: "Follow existing patterns" is good. "Match the style in src/api/users.ts and use our existing ErrorHandler class" is better. Use CLAUDE.md for persistent context: Add a CLAUDE.md file to your repo root. Claude Code reads it automatically at startup — put your architecture overview, coding standards, and common patterns there.

<!-- CLAUDE.md -->
## Stack
- Backend: Node.js + Express + TypeScript
- Database: PostgreSQL with Prisma ORM  
- Tests: Vitest with MSW for API mocking
- Error handling: Use src/lib/errors.ts ErrorHandler class

## Conventions
- All API responses: { data, error, meta } shape
- Dates: always UTC ISO 8601
- No console.log in production code — use src/lib/logger.ts

Iterate conversationally: If Claude's first attempt misses something, say what's wrong and it will fix it. You don't need to restart — Claude Code maintains the full conversation context. Verify before committing: Always review Claude's changes with git diff before committing. Claude Code is excellent but you're still the final decision maker.

Conclusion

Claude Code's power isn't in answering questions — it's in completing tasks. The shift from "tell me how to do X" to "do X" is the shift from assistant to agent, and it fundamentally changes how much you can accomplish in a day.

Start with one pattern from this guide. Pick the most painful repetitive task in your workflow and let Claude Code handle it. Once you see how reliably it works, you'll find yourself delegating more and more — and spending your own time on the work that actually requires human judgment.