A deep dive into each dimension of the VIBE Score framework — what we measure, why it matters, and how AI-built software uniquely challenges each one.
ProductBees Editorial·
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The 8 Dimensions of Trustworthy Software
A deep technical exploration of each VIBE Score dimension — what we measure, why it matters, and how AI-built software uniquely challenges conventional evaluation approaches.
Why Eight Dimensions?
A single quality score hides critical trade-offs. An app might have excellent UX but terrible security. Eight dimensions expose these trade-offs explicitly, giving stakeholders actionable intelligence rather than a meaningless average.
Dimension Deep Dives
Detailed criteria, scoring rubrics, and AI-specific assessment methodology for each dimension coming soon.
Each dimension section will cover:
What the dimension measures
Why it matters for AI-built software specifically
The 15-25 specific criteria used for scoring
Common failure patterns in vibe-coded applications
Improvement recommendations ranked by impact
Frequently Asked Questions
Why eight dimensions instead of a single quality score? +
A single score hides critical trade-offs. An app might have excellent UX but terrible security. Eight dimensions expose these trade-offs explicitly, giving stakeholders actionable intelligence rather than a meaningless average.
How are the dimension weights determined? +
Weights are calibrated based on industry research and the specific risk profile of AI-built software. Security and Intelligence carry higher weights (15% each) because AI-generated code introduces novel risks that traditional tools don't assess.
What makes Intelligence scoring unique to AI-built apps? +
Traditional apps don't have prompt injection risks, hallucination guards, or model governance requirements. The Intelligence dimension evaluates AI-specific concerns: Is the LLM integration safe? Are outputs validated? Is there a fallback strategy when the AI fails?
Can I see the specific criteria for each dimension? +
Yes. Each dimension has 15-25 specific, measurable criteria. Some are automated (like Lighthouse scores for Experience, or CVE counts for Security) and others require expert review (like architecture assessment for Maintainability).
How often should dimensions be re-evaluated? +
We recommend quarterly assessments for active products, with continuous monitoring of automated metrics. The Intelligence dimension should be reassessed whenever you update your AI models or prompts.
Are the dimensions weighted equally across all app types? +
The default weights work for most applications, but ProductBees can customize weighting for specific contexts. A healthcare app might weight Security higher, while a developer tool might weight Velocity and Maintainability more.
