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SUMMARY:AI Mid-Life Crisis: failure stories from the silent majority - Val
 ery Lourie\, daften
DTSTART;TZID=Europe/Brussels:20260629T100000
DTEND;TZID=Europe/Brussels:20260629T105500
DTSTAMP:20260811T004337Z
UID:pretalx-drupalcamp-kortrijk-2026-FA8V93@pretalx.com
DESCRIPTION:Description\nDeveloper community is currently split into three
  uneven camps:\n\n- The Skeptics who refuse to touch AI on principle.\n- T
 he Champions who seem to be rewriting Facebook every afternoon just to pro
 ve a point.\n- The Silent Majority - those who want to use new tools but f
 eel so far behind the "Champions" that it’s discouraging to even start.\
 n\n\nIf you belong to that third group\, you’re likely suffering from an
  AI Mid-Life Crisis. You’ve seen the polished stage demos where AI gener
 ates a perfect migration script\, but when you tried it\, you got a halluc
 inated mess of Drupal 7 hooks and broken YAMLs.\n\nIt’s time to talk abo
 ut the "Failure Stories."\n\nThis session isn't a "how-to" on prompt engin
 eering.\nIt's an honest discussion on what happens when AI fails in the re
 al world of Drupal development - and what we can do about this.\nWe’ll d
 iscuss why feeling "behind" is a trap\, why the 10x developer myth is toxi
 c for team morale\, and how we can bridge the gap by being more transparen
 t about our struggles.
LOCATION:Dropsolid room
URL:https://pretalx.com/drupalcamp-kortrijk-2026/talk/FA8V93/
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SUMMARY:Managing Technical Debt in the Age of AI: What Changed Since 2023 
 - daften\, Jasper Lammens
DTSTART;TZID=Europe/Brussels:20260629T144000
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DTSTAMP:20260811T004337Z
UID:pretalx-drupalcamp-kortrijk-2026-PNRXNF@pretalx.com
DESCRIPTION:Three years ago at DrupalCon Lille\, we gave a talk on managin
 g technical debt and how modern Drupal helps you tackle it. The core of th
 at talk still holds: technical debt management is about business value\, n
 ot code. What's changed is the economics.\n\nAI coding assistants have mad
 e refactoring faster and cheaper. Tests are easier to write after the fact
 . Code review has a new automated layer. The execution cost of fixing debt
  dropped significantly. But the upstream work\, deciding what to fix\, why
  it matters\, and explaining that to your client\, hasn't gotten any easie
 r. If anything\, it's harder now that everyone assumes AI can "just handle
  it."\n\nWe'll walk through the Lille framework with a 2026 lens. What sti
 ll applies unchanged (more than you'd think)\, what AI actually makes bett
 er (refactoring\, test generation\, MR review)\, and where it falls short 
 (planning\, verification\, the client conversation). We'll also get into t
 he 80/90% question: when AI output is good enough for business needs and w
 hen engineers are right to push for more.\n\nAI still can't make the plan 
 for a complex refactor or reliably verify its own outcomes. It doesn't rep
 lace senior engineers or solution architects. But the time you spend on te
 chnical debt remediation drops significantly\, and that changes how you th
 ink about what's worth fixing and when.
LOCATION:Dropsolid room
URL:https://pretalx.com/drupalcamp-kortrijk-2026/talk/PNRXNF/
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