JUG Milano Meeting #166
Giovedì 11 Dicembre 2025
Debugging your brain: how cognitive bias shapes our practices and how to mitigate it
La registrazione dell'intervento è su https://www.youtube.com/watch?v=MdSgBgIZLgo.
Evento ibrido online ed in presenza.
La partecipazione **in presenza** è gratuita e libera, ma è OBBLIGATORIA la registrazione su: form di registrazione per partecipare a JUG Milano in presenza
La partecipazione **in presenza** è gratuita e libera, ma è OBBLIGATORIA la registrazione su: form di registrazione per partecipare a JUG Milano in presenza
Abstract dell'intervento:
Did you ever push for a tech choice that backfired? Or been baffled by a bug that, in hindsight, was painfully obvious? Why do projects derail despite the best intentions? The culprit might be in your cognitive biases – the invisible mental shortcuts that can make even the sharpest engineers fail. This talk dives deep into the world of cognitive biases and their profound impact on software engineering: we'll explore how biases like Confirmation Bias, Anchoring, Dunning-Kruger Effect and others silently influence our estimations, design decisions, debugging processes, and team dynamics. Through relatable software engineering scenarios, you'll learn to spot these biases in yourself and your team. More importantly, you'll leave with a toolkit of practical strategies to mitigate their influence, leading to more rational decisions.
Did you ever push for a tech choice that backfired? Or been baffled by a bug that, in hindsight, was painfully obvious? Why do projects derail despite the best intentions? The culprit might be in your cognitive biases – the invisible mental shortcuts that can make even the sharpest engineers fail. This talk dives deep into the world of cognitive biases and their profound impact on software engineering: we'll explore how biases like Confirmation Bias, Anchoring, Dunning-Kruger Effect and others silently influence our estimations, design decisions, debugging processes, and team dynamics. Through relatable software engineering scenarios, you'll learn to spot these biases in yourself and your team. More importantly, you'll leave with a toolkit of practical strategies to mitigate their influence, leading to more rational decisions.
A cura di Andrea Iacono:
Andrea is a software engineer with a broad experience in several industries ranging from e-commerce to industrial automation, from public administration to Web TV / music. His interests are in algorithms, data and AI.
Andrea is a software engineer with a broad experience in several industries ranging from e-commerce to industrial automation, from public administration to Web TV / music. His interests are in algorithms, data and AI.