Your prompts
ship code.
Now there's proof.
Qmmit links every AI prompt to the commit it produced. Track token spend, model usage, and tool drift — automatically via git hooks.
Works with the tools you already use.
No plugins. No config. Git hooks handle everything.
AI Score — Your Verified AI Fluency Metric
A composite 0–100 score that proves how effectively you leverage AI tools in real development workflows. Not self-reported. Not gameable. Verified through prompt-to-commit linkage.
What employers see on your profile
A single number that answers: "Can this developer ship with AI?"
6 Weighted Factors
Each factor uses logarithmic curves and anti-gaming measures. The score decays naturally — you have to keep building.
Prompts that shipped as real commits with HIGH confidence matching
Active coding days over 90-day window — sustained practice, not bursts
Multi-model diversity + intentional model selection per task
Total verified prompts with logarithmic scaling — prevents gaming
Distinct projects with AI-linked commits — cross-domain application
Prompts-per-commit ratio — fewer focused prompts = better engineering
Tier Badges
For Developers
Prove your AI fluency with verified data. Stand out in job applications with a score employers trust.
For Employers
Filter candidates by real AI capability. See who ships code with AI vs. who just chats with it.
Anti-Gaming
Logarithmic scaling, efficiency penalties for spam, 90-day recency window. You earn it by building.
Your AI portfolio, auto-generated
Every prompt you write becomes a verified portfolio artifact. Here's what your public profile looks like.
alexmorgan
✔ CLI VerifiedProFull-stack developer · AI-native builder · Open source contributor
Full-stack SaaS boilerplate with auth, billing, and teams
Semantic search over docs using PG Vector + OpenAI embeddings
AI Spend Visibility
Know where your tokens go.
Most teams have no idea which AI tool consumes the most tokens, which model drifts in quality, or where their spend actually lives. Qmmit makes it visible.
Model Usage & Cost
AI Tool Breakdown
Token-level visibility
See exactly how many input and output tokens each model consumes. Per project, per tool, per day. No more guessing where your AI budget goes.
Estimated spend tracking
Automatic cost estimation based on public model pricing. Know your monthly AI spend without checking 5 different billing dashboards.
Tool drift detection
Track which AI tools you use over time. Spot when a model switch changes your output quality. See weekly trends across all your projects.
"Most teams have no idea where their AI spend or signal actually lives. Visibility first, optimization second — that's the order most builders skip."
How it works
3 steps. Zero effort.
You code with AI like you always do. Qmmit runs silently in the background and builds your portfolio automatically.
Install once
One command in your terminal
Downloads a small tool called qmmit. Works on Mac, Linux, and Windows. Takes about 30 seconds.
Set up your repo
Run once per project
Qmmit installs invisible hooks into your git repo. From now on, every commit automatically captures your AI prompts.
Just code normally
Nothing changes about how you work
Use Cursor, Copilot, Claude, or any AI tool. When you commit and push, your prompts sync to your profile automatically.
What actually happens?
Here's the full picture, explained simply.
You type a prompt in Cursor, Copilot, Claude Code, or any supported tool.
Every AI tool saves a local log of your conversation. Qmmit reads that log — it never intercepts your network traffic.
The moment you commit, a tiny script fires automatically. It reads the AI session log, finds your prompts, and links them to this commit.
Nothing leaves your computer yet. Your prompts are stored in a local database. You control what gets shared.
When you push, Qmmit automatically syncs your prompts to your profile. Secrets are auto-redacted before anything is sent.
Your heatmap, model breakdown, and prompt timeline update. Anyone can see your verified AI contribution history.
❓ Do I need to change how I code?
No. Use your AI tools exactly as you do today. Qmmit works in the background.
❓ Is my code or prompts sent anywhere without my permission?
Nothing leaves your machine until you run git push. You control what syncs.
❓ What if I use multiple AI tools?
Qmmit supports 7 tools: Cursor, Copilot, Kiro, Claude Code, Windsurf, OpenCode, and Gemini CLI. All captured automatically.
❓ What if I use ChatGPT or Claude.ai (web)?
Those don't save local files, so use: qmmit add "your prompt" to log them manually.
❓ Does it work with private repos?
Yes. Private repos stay private — prompts are hidden from your public profile automatically.
❓ What does "verified" mean?
Every prompt is linked to a real git commit SHA. Anyone can verify it exists on GitHub/GitLab/Bitbucket.
No credit card. No config files. Works in 60 seconds.
GitHub shows what you shipped.
Qmmit shows how you think.
92% of developers use AI tools daily. 41% of code is AI-generated. Job posts asking for AI experience grew 340% in one year. But there's no standard way to prove AI fluency.
Everything to prove you build with AI.
Capture prompts. Link them to commits. Build a verified portfolio.
Autocapture from 7 AI tools
Git hooks read session files on every commit. Claude Code, Cursor, Copilot, Kiro, Windsurf, OpenCode, Gemini CLI. You change nothing about how you work.
- ✔ Reads session files from Claude Code, Cursor, Kiro, GitHub Copilot, Windsurf, OpenCode, Gemini CLI
- ✔ Git hooks fire silently — never blocks git operations
- ✔ Matching algorithm links prompts to commits by timing + files
- ✔ All data stays local until git push syncs to dashboard
Every prompt linked to a commit
A 5-signal scoring algorithm matches prompts to commits by file overlap, timing, keywords, code similarity, and session continuity. No manual tagging required.
Your prompts are portfolio pieces
Each prompt displays the model, files touched, confidence score, and the commit it produced. Pin your best work. Share individual prompts with a link.
Which AI wrote which code
Per-project model breakdown. Claude 48%, GPT-4o 31%, Copilot 21%. Color-coded attribution bars on every project card.
Your prompts never leave your machine until you push
Local SQLite database. AES-256 encryption at rest. Auto-redacts API keys, tokens, passwords, and PII before sync. Public, private, or redacted per prompt.
GitHub / GitLab / Bitbucket
OAuth import from all three platforms. Retroactive AI analysis on existing repos. Auto-detected from .git/config.
AI Workflow Builder
Document your AI-assisted development process as a reusable, shareable workflow. Link each step to the prompts and commits that produced it. Fork and remix workflows from other developers.
- ✔ Visual step-by-step editor — drag, drop, reorder
- ✔ Link steps to specific prompts and commits
- ✔ Share publicly or keep private
- ✔ Fork and remix from the community
- ✔ Export as markdown or embed in README
Full CLI reference
Every git command works. Plus AI tracking on top.
qmmit initqmmit loginqmmit disableqmmit statusqmmit add "Fix auth bug"qmmit add --model=chatgptqmmit add --commit SHAqmmit log --last 20qmmit pushqmmit push --reviewqmmit push --dry-runqmmit log --model=claudeqmmit show HEADqmmit show <sha>qmmit tag <id> archqmmit note <id> "text"qmmit privacyqmmit scanqmmit redact <id>qmmit set-private <id>git commit -m "feat: x"git pushqmmit _hook post-commitqmmit _hook pre-push