Software engineering advanced because teams stopped relying on opinions.
Instead, they relied on metrics.
Build success.
Code coverage.
Performance.
Reliability.
Those measurements transformed software development into an engineering discipline.
AI is reaching the same point.
As AI agents become part of production systems, teams need more than anecdotal evidence that things are working.
They need measurable signals.
Can we quantify behavior?
Can we compare versions?
Can we detect regressions?
Can we evaluate improvements over time?
Without measurement, every deployment becomes an act of faith.
With measurement, improvement becomes intentional.
That's the future we're building toward with Crucible.
Pytest for AI Agents.
Top comments (0)