Is your engineering team actually AI-native, or just using AI tools?

Most engineering leaders think their teams are AI-enabled. They're not — they're using AI tools the same way they used to use Stack Overflow: individually, inconsistently, with no shared standard and no way to measure the result. This assessment shows you exactly where the gaps are, and what to fix first.

15 questions
5 minutes
Instant results
No login

The difference between AI-assisted and AI-native

Not AI-native
  • AI struggles to understand your codebase
  • Engineers afraid to refactor
  • Estimates are wild guesses
  • Tests written after bugs are found
  • PRs take days to review
  • Tech debt growing quarter over quarter
AI-native
  • AI generates correct code on the first try
  • Refactoring is safe, fast, and common
  • Estimates track within 20% of actual
  • Tests written before or alongside code
  • PRs reviewed same day, small and clear
  • Tech debt reducing every quarter
The 4 maturity levels
L1
Ad-hoc AI Use
You're experimenting
  • Context lives in engineers' heads
  • AI tools used individually
  • No way to measure impact
L2
Assisted Development
You've got adoption
  • Most engineers use AI tools
  • Practices vary by engineer
  • Some coverage, inconsistent
L3Target
AI-Native
The target for most teams
  • 80%+ PRs involve AI
  • Tests alongside every change
  • Cycle time under 5 days
L4
Advanced / Agentic
You're at the frontier
  • Agentic workflows running autonomously
  • Context is infrastructure
  • Small teams, 2× output

What you'll get

01
Your maturity level
L1 to L4: where your team sits on the path to AI-native engineering.
02
Where AI is slowing you down
Five dimensions that separate teams who ship faster with AI from those who've just added a new tab to their browser.
03
Your 3 next actions
Specific, prioritised steps to reach the next level. Not generic advice.
15 questions
5 minutes
Instant results
No login
5 dimensions assessed
Context Infrastructure
AI Adoption Rate
Testing & Verification
Delivery Patterns
Measurement & Visibility
Irfan Suleman
Technologist · Kuala Lumpur

20+ years turning technology into business outcomes. I've scaled digital revenue to $100M and launched a payment platform to $1M in its first six months at DKSH, directed web product strategy at Standard Chartered across 31 global markets, led digital experience at Zühlke across financial and healthcare sectors, and shipped an Apple-featured app at Mindvalley.