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DTSTART:20001029T040000
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UID:pretalx-devconf-cz-2026-88SWVF@pretalx.devconf.info
DTSTART;TZID=CET:20260618T144500
DTEND;TZID=CET:20260618T152000
DESCRIPTION:A recent study by Anthropic researchers shows that developers w
 ho rely heavily on generative‑AI assistants experience slower skill form
 ation. This finding aligns with other works\, which report more passive en
 gagement and reduced problem‑solving depth when AI is uncriteriously.\n\
 nThe long‑term development of professionals is therefore at risk: dimini
 shed troubleshooting ability\, weaker mental models of system architecture
 \, and reduced confidence in writing clean\, maintainable code. Importantl
 y\, the Anthropic analysis also reveals that the impact is not uniform—c
 ertain usage patterns mitigate the negative effects\, whereas treating the
  AI as a black‑box code generator amplifies them.\n\nThis talk will (1) 
 summarize the empirical evidence\, (2) dissect the usage patterns that lea
 d to healthier learning outcomes\, and (3) propose concrete guidelines for
  teams and managers to integrate AI tools responsibly. Attendees will leav
 e with actionable strategies to adopt AI‑assisted development.
DTSTAMP:20260430T124915Z
LOCATION:E105 (capacity 70)
SUMMARY:The risks of AI for skill formation\, and how to mitigate them - M
 ário Fernandes
URL:https://pretalx.devconf.info/devconf-cz-2026/talk/88SWVF/
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