How production-grade is your AI engineering?
25 questions that show how production-grade your AI engineering is — and the fastest way to ship products, not prototypes.
Vibe-coding gets you a demo fast — but is the output production-grade? See exactly where you stand, and the fastest path to shipping products, not prototypes.
What you get
- Your score (0–75) and tier — instantly, on the next screen
- A per-section breakdown of where you’re still prototype-grade
- A personalized 30/60/90-day playbook + a fix-it guide for every miss
~8 minutesOne tap per questionInstant score
Your score is instant and free — no account needed. Add your email after you finish to unlock your full 30/60/90 playbook and fix-it guides.
Leading a team or company? Take the C-Level / Founder Scorecard instead →
26 years building web apps · 2 IPOs · AI Lecturer at SWPS University · Using Cursor since 2023, Claude Code and Codex since early beta · CTO at TasteRay (built with AI)
Used by engineering teams at
Sample report
Your score
42out of 75· 56%
Tier
Intermediate
You ship fast, but context engineering and extensibility are still prototype-grade — that’s what stands between you and production.
Section breakdown
Tooling & subscription78%
Context engineering↓ weakest33%
Extensibility (skills / MCP / hooks)50%
Parallelism & automation40%
Context engineering
Every session starts blind.
→ Author a CLAUDE.md this week, then layer .claude/rules/.
Your 30 / 60 / 90 plan
30 days
- •Switch to an agent-first tool
- •Install the Context7 MCP
60 days
- •Write your first CLAUDE.md
- •Try Plan mode on a real change
90 days
- •Author 2–3 custom commands
- •Add the GitHub MCP