VERSION 0.9 · PRESENTED AT QSCONF 2026
The Quality Intelligence Manifesto
Quality Intelligence is the practice of connecting systems, context and human judgment to understand the risk of every change and decide with confidence where to invest effort.
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The manifesto is built in the open. v1.0 ships in November 2026.
- 01Contribute on GitHubFill in the blank row, challenge or improve an existing one. A single comment is enough.Go to the discussion →
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- 03Share with your networkInvite colleagues and people you respect to collaborate. Use #QualityIntelligence.Share on LinkedIn →
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WHAT IS QUALITY INTELLIGENCE
A practice and a framework that expands Quality Engineering
THE PROBLEM
We produce faster than we understand.
AI has multiplied the amount of code, tests and changes we generate. Our ability to understand what changed, where the risk is and whether we are ready to release has not grown at the same pace. The bottleneck is no longer producing: it is understanding.
WHY TODAY'S APPROACH FALLS SHORT
We measure activity, not confidence.
Testing, QA and Quality Engineering generate evidence, but the context to interpret it is scattered: in the code, the tickets, the incidents and in a few people's heads. We count tests, coverage and green pipelines. And because we don't know where the risk is, we keep choosing between quality, speed and cost.
WHAT QUALITY INTELLIGENCE DOES
It turns evidence and context into decisions.
It connects systems, context and human judgment to understand the risk of every change and decide with confidence where to invest effort. AI connects and analyzes; people decide. And every cycle learns from the last one.
Discover → Understand → Evolve → Decide → Learn ↻