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Korvatech.ai

AI productivity · September 8, 2026 · 6 min read

How to measure a 5x engineering cadence before you announce it

AI assistants make teams feel faster. Feeling is not a metric. Here is the four-number scorecard we agree before any velocity pilot.

Every team that adopts coding assistants reports the same thing in week two: it feels faster. The question a CFO asks is different: faster at what, compared to when, and did quality hold?

We define velocity as accepted deliveries per comparable period. Not tickets closed, not lines written. A delivery counts when the business accepted it. That single definition removes most of the arguments.

Alongside it we track three guardrails: cycle time from definition to production, defects found after release, and rework hours. If cadence goes up while any guardrail degrades, the pilot has not succeeded yet.

The pattern that actually produces the multiple is not the tool. It is context: clear standards, documentation an agent can read, and tasks scoped small enough to review in one sitting. Assistants amplify whatever process they land in.

Only after the four numbers hold for a full month do we publish the multiple. Until then it is a hypothesis, and we say so.

Next step

Tell us what you need to solve.

Let's define together the problem, the expected value and a first useful delivery.

Value, acceptance and payment terms are agreed per stage.