Evaluation and quality standards
On This Lesson 4 topics
This lesson is planned. The outline below lists the topics it will cover. The full lesson has not been published yet.
In this lesson
set standards for AI features and AI-generated code that teams can meet themselves.
Planned topics
- AI features need evaluation sets, quality thresholds, and monitoring for drift and cost.
- AI-generated code goes through the same review, tests, and scanning as any code, with the author accountable.
- Provide shared templates and tooling for evaluations so teams do not build their own.
- Define what must be reviewed by humans before release.
Draft outline details
Demonstration
a one-page standard: required evaluation, threshold, monitoring, human review points, rollback.
Check your understanding
Who is accountable for AI-generated code in a pull request?
Show answer
The engineer who submits it.
Practice
Apply this lesson with the module's lab, exercises and quiz.
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