Speaking
AI and software quality, made useful.
Ludovico speaks about the decisions behind AI-assisted quality engineering: what counts as evidence, where human review matters, and how teams can make residual risk visible.
Featured 2026 talk · StackConnect Europe, Zurich
When AI Makes Every Dashboard Green
This talk introduces the Agentic QE Scorecard: four questions for assessing whether an agent is improving quality or merely improving a dashboard. The companion resource includes the scorecard, practical templates, and its sources.
Themes
Ideas that travel back into the work.
Evidence over activity
Generated tests, coverage, and passing pipelines are useful signals. They become meaningful only when they show that important risks are actually detected.
Responsible AI-assisted quality
AI can support generation, triage, and automation. Critical decisions still need review, traceability, and a clear understanding of what remains uncovered.
Quality as a shared practice
Reliable software comes from collaboration between quality, product, and engineering, with risks made visible before they reach users.
A clear process
From invitation to a well-prepared session.
- 01
Share the context
Audience, format, location, timing, and the question you want the session to help answer.
- 02
Find the right fit
We can discuss a relevant angle, practical constraints, and the arrangement before either side commits.
- 03
Plan with care
Once confirmed, the event has the information needed to coordinate preparation and logistics responsibly.
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