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UID:pretalx-devconf-cz-2026-DE8FVP@pretalx.devconf.info
DTSTART;TZID=CET:20260618T144500
DTEND;TZID=CET:20260618T152000
DESCRIPTION:The transition to AI-assisted development is a fundamental para
 digm shift in software engineering. However\, rapid code generation has in
 troduced a Productivity Paradox: the speed of delivery is often negated by
  the rising costs of remediation and the erosion of deep technical oversig
 ht.\nIn this talk\, we analyze high-integrity practices for building with 
 AI assistants\, starting with the Knowledge Premium—the reality that dee
 p architectural expertise is critical for providing precision. We will exa
 mine strategies for prioritizing context over syntax through Intent-Driven
  Development. IDD represents a transition from "writing code" to "orchestr
 ating intent\," where the human engineer defines the destination and const
 raints\, and the AI serves as a high-level collaborator. Finally\, we will
  demonstrate a set of senior-level "tricks" and best practices designed to
  increase both the velocity and integrity of your codebase.
DTSTAMP:20260430T125720Z
LOCATION:E104 (capacity 72)
SUMMARY:Engineering Intent: Solving the AI Productivity Paradox - Jiří Da
 něk\, Andriana Theodorakopoulou
URL:https://pretalx.devconf.info/devconf-cz-2026/talk/DE8FVP/
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