The wedge

Score your AI-DLC maturity

A short, self-scoring read of how your engineering org actually ships with AI today. It’s the same lens we use to scope a first engagement.

Book a diagnostic

How to read it

Score each capability honestly, from “blind in production” to “mature”. It’s a mirror, not a benchmark to game. The value is in seeing where the gaps actually are.

The dimensions map onto the questions we ask on a first call and onto the pre-registered gate, so the diagnostic already previews how an engagement would be scoped and measured.

The maturity diagnostic

Score each capability below. Nothing is sent anywhere. It runs entirely in your browser.

Ad hoc

Experimenting

Applied in pockets

Systematic

Native

0 of 9 scored

Lifecycle

Requirements & intent

Are changes captured as clear, implementation-neutral intent that people and AI can both act on?

0vague, verbal, tribal tickets····every change starts from a written, testable intent4

Now

Goal

Build / code generation

How systematically is AI used to generate and modify production code?

0no AI, or rogue individual copilot use····AI-augmented build is the standard, governed flow4

Now

Goal

Test & QA

Is AI used to generate, maintain, and strengthen tests?

0manual, low-coverage testing····AI generates high-signal tests; quality gates automated4

Now

Goal

Enablers

Ways of working

Has the process adapted to AI, or just bolted it on?

0old process, AI bolted on the side····process redesigned around AI collaboration4

Now

Goal

Governance, risk & security

Are there guardrails for AI-generated work before it ships?

0no policy; reactive····preemptive governance, provenance, approval4

Now

Goal

Measurement & instrumentation

Can the org measure delivery well enough to prove what works?

0vanity metrics, or none····counterbalanced metrics; can run a real gate4

Now

Goal

Leadership & change appetite

Is leadership aligned and willing to fund real change?

0skeptical or hype-driven; no mandate····clear mandate; realistic, sustained sponsorship4

Now

Goal

Architecture AI-readiness

Explicit, enforced boundaries

Are components separated by clear interfaces that bound the blast radius of a change?

0tangled monolith, hidden coupling····modular, interface-driven, bounded changes4

Now

Goal

Machine-checkable correctness

Can the system validate changes automatically: types, contracts, tests?

0weak typing, low test signal····strong typing/contracts; high-signal automated checks4

Now

Goal

Your profile

Score a dimension above to see your maturity profile and where to focus.

Discuss your results

Your answers stay in your browser. Nothing is sent anywhere.

Want a deeper read?

A fixed-fee diagnostic turns this self-score into a baselined, measured starting point.

Book a diagnostic