2023: "Check out my GitHub commits." 2025: "Check out my Claude stats." Orange is the new green.
Introduction
Remember the dopamine hit of seeing a fully green GitHub contribution graph? That satisfying visual proof of consistent coding, day after day, commit after commit. It became a badge of honor, a conversation starter, even a hiring signal.
Now there's a new graph in town. As AI-assisted development becomes the norm, a different metric matters: how effectively are you leveraging AI in your workflow? Are you using Claude Code consistently? What patterns emerge in your usage? When are you most productive with AI assistance?
Welcome to Day 10 of our 31 Days of Claude Code Features series. Today, we're exploring /stats—your personal dashboard for Claude Code usage. It's time to see your AI collaboration in vivid color.
The Problem
Using AI tools casually is easy. Using them strategically requires awareness:
No visibility into patterns: You use Claude Code, but how often? At what times? For which types of tasks? Without data, you're operating on vibes.
Unclear ROI: Your company invested in AI tooling, or you're paying personally. Are you getting value? It's hard to justify what you can't measure.
Missed optimization opportunities: Maybe you're most effective with Claude in the morning. Maybe certain types of prompts yield better results. Without metrics, these insights remain hidden.
No celebration of progress: Developers love streaks and achievements. There's no equivalent satisfaction metric for AI-assisted development—until now.
We track everything in software development: commits, PRs, deploys, uptime. Why wouldn't we track our AI collaboration too?
The Solution
The /stats command transforms your Claude Code usage into visual, actionable insights.
How to Use It
Simply type:
/stats
Claude Code displays a comprehensive dashboard of your usage patterns.
What You'll See
╔══════════════════════════════════════════════════════════════════╗
║ 🧡 CLAUDE CODE STATS 🧡 ║
╠══════════════════════════════════════════════════════════════════╣
║ ║
║ USAGE HEATMAP (Last 12 Weeks) ║
║ ───────────────────────────────────────────────────────────── ║
║ Mon ░░▓▓░░▓▓▓▓░░▓▓▓▓▓▓▓▓▓▓▓▓░░░░▓▓▓▓▓▓▓▓░░▓▓████████▓▓ ║
║ Tue ░░▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓░░▓▓▓▓░░▓▓▓▓▓▓████▓▓▓▓▓▓████▓▓▓▓ ║
║ Wed ▓▓▓▓▓▓▓▓░░▓▓▓▓████▓▓▓▓▓▓▓▓▓▓████▓▓▓▓████████████▓▓ ║
║ Thu ░░▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓████▓▓▓▓▓▓▓▓████▓▓▓▓▓▓▓▓ ║
║ Fri ▓▓▓▓▓▓░░▓▓▓▓▓▓▓▓▓▓▓▓░░▓▓▓▓▓▓▓▓░░▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ ║
║ Sat ░░░░░░░░░░▓▓░░░░░░░░░░░░░░░░░░░░░░▓▓░░░░▓▓░░░░░░░░ ║
║ Sun ░░░░░░░░░░░░░░▓▓░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ ║
║ ───────────────────────────────────────────────────── ║
║ Oct Nov Dec Jan ║
║ ║
║ ░ None ▒ Light ▓ Moderate █ Heavy ║
║ ║
╠══════════════════════════════════════════════════════════════════╣
║ ║
║ 📊 SUMMARY 🏆 ACHIEVEMENTS ║
║ ─────────────────── ───────────────── ║
║ Sessions (30d): 47 ✓ 7-Day Streak ║
║ Total Prompts: 312 ✓ 100 Prompts Club ║
║ Tokens Used: 1.2M ✓ Night Owl (2am session) ║
║ Avg Session: 23m ✓ Code Reviewer ║
║ Current Streak: 4d ○ 30-Day Streak (26 to go) ║
║ Longest Streak: 12d ○ Token Millionaire (800k) ║
║ ║
╠══════════════════════════════════════════════════════════════════╣
║ ║
║ 🕐 PEAK HOURS 📁 TOP PROJECTS ║
║ ─────────────────── ───────────────── ║
║ 9-10 AM ████████████ 18% my-saas-app 34% ║
║ 2-3 PM ██████████ 15% open-source-lib 28% ║
║ 10-11 AM ████████ 12% side-project 22% ║
║ 3-4 PM ███████ 11% learning 16% ║
║ ║
╠══════════════════════════════════════════════════════════════════╣
║ ║
║ 🎯 TASK BREAKDOWN ║
║ ─────────────────── ║
║ Code Generation ████████████████████████░░░░░░░░ 42% ║
║ Debugging ████████████████░░░░░░░░░░░░░░░░ 28% ║
║ Code Review ████████░░░░░░░░░░░░░░░░░░░░░░░░ 15% ║
║ Documentation ████░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 8% ║
║ Other ███░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 7% ║
║ ║
╚══════════════════════════════════════════════════════════════════╝
Understanding the Metrics
Usage Heatmap: A GitHub-style grid showing your Claude Code activity over time. Orange intensity indicates usage level for each day.
Summary Stats: Quick numbers on sessions, prompts, tokens, and streaks.
Achievements: Gamified milestones that celebrate your AI-assisted journey.
Peak Hours: When you're most active with Claude Code—useful for understanding your productivity patterns.
Top Projects: Which codebases get the most AI attention.
Task Breakdown: What you're using Claude Code for—generation, debugging, review, etc.
Pro Tips
1. Check stats to identify your productive hours
If your peak hours are 9-11 AM, schedule your most complex AI-assisted tasks for that window. Your brain-Claude synergy is strongest then.
2. Use streaks for motivation
A streak counter creates positive pressure. "I've used Claude Code for 12 days straight—can't break it now!" It encourages consistent integration of AI into your workflow.
3. Share your stats
/stats --export png
Generate a shareable image for Twitter, LinkedIn, or team Slack. It's the new "look at my contribution graph."
4. Compare month-over-month
/stats --compare last-month
See how your usage is trending. Are you becoming more AI-native over time?
5. Filter by project
/stats --project my-saas-app
Get focused stats for a specific codebase—great for project retrospectives.
Real-World Use Case
You're in a quarterly review with your manager. They ask about productivity improvements and tool adoption. In the past, you'd have vague anecdotes: "Yeah, I've been using Claude Code, it's helpful."
Now you pull up:
/stats --period Q4-2024
Q4 2024 Summary:
- 186 sessions across 78 unique days
- 1,247 prompts sent
- Estimated 23 hours saved (based on task complexity)
- Top use cases: debugging (31%), code generation (29%), refactoring (22%)
- Most active project: billing-service (complete rewrite completed 40% faster)
That's not a vague anecdote. That's data. That's a story of measurable productivity gains. That's a justification for continued AI investment.
Conclusion
In an era where AI-assisted development is becoming standard, measuring and celebrating that collaboration matters. /stats transforms invisible AI usage into visible achievements, vague feelings of productivity into concrete metrics.
The GitHub contribution graph changed how we think about coding consistency. The Claude Code stats dashboard might just change how we think about AI productivity. It gamifies improvement, surfaces insights, and gives you a new way to showcase your modern development practices.
So go ahead—type /stats. See your orange. In 2025, it's the new green.
Coming up tomorrow: We've covered a lot of ground in these first 10 days. Day 11 takes us into conversation management—how to save, load, and organize your Claude Code sessions like a pro. Your AI conversations are valuable; let's treat them that way.
This is Day 10 of the "31 Days of Claude Code Features" series. Follow along to discover a new powerful feature every day.
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