For executives

Situation

Teams ship with LLMs. The speed is there — developers produce code faster than ever.

Complication

Without imposed discipline, AI produces plausible but unverified code. Test coverage is declarative, reviews are superficial, and technical debt accumulates silently.

« The only way to go fast is to go well. » — Martin, R. C., Clean Architecture, 2017.

Question

How do you frame AI so that delivery speed translates to delivered value?

Answer — The 3 SKRAFT levers

1. Enforceable discipline

Each pipeline phase applies the CQS principle: the executor agent writes, the reviewer verifies. No agent validates its own work. Invariants are checked automatically before every phase transition.

2. Empirical quality metrics

SKRAFT measures Mutation Score, not declarative coverage. A test that detects no mutation is a test that protects nothing.

« Software delivery performance predicts organizational performance and profitability. » — Forsgren, N., Humble, J. & Kim, G., Accelerate, 2018.

3. Speed without hidden debt

The Walking Skeleton validates end-to-end architecture before writing any business logic. Outside-In TDD ensures every line of code is guided by an acceptance test.

« High performers spend less time on unplanned work and rework, freeing capacity for new value. » — Forsgren, N., Humble, J. & Kim, G., Accelerate, 2018.

Measurable ROI — DORA metrics

Metric Without pipeline With SKRAFT
Change Failure Rate High — bugs found in production Reduced — validated by Mutation Score before merge
MTTR Slow — manual diagnosis Fast — traceability from issue → test → code
Deployment Frequency Slowed by fear of breaking things Accelerated — every commit is verified

« If you only quantify one thing, quantify the cost of delay. » — Reinertsen, D. G., The Principles of Product Development Flow, 2009.

What SKRAFT requires