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UID:pretalx-pydata-london-2026-3YH3WF@pretalx.com
DTSTART;TZID=GMT:20260607T144500
DTEND;TZID=GMT:20260607T153000
DESCRIPTION:A few nights ago I was up to 2am obsessively crafting an LLM pl
 an. (_"Just one more prompt!"_ - famous last words). Yet it still did some
 thing inexplicably stupid. 🫠 So yeah: LLMs are both genuinely useful an
 d genuinely destabilising. Focusing on the first and ignoring the second i
 s how people burn out.\n\nThis talk is an honest account of what it feels 
 like to be a developer right now\, from someone inside it\, and some thoug
 hts on what might actually help. My thesis: we've been optimising for _mod
 el output_ when we need to be optimising for _human experience_.\n\nI'll s
 hare observations from my work\, peers and colleagues. The peculiar fatigu
 e of machine supervision: holding the intent in your head while the machin
 e generates volumes of mostly-correct output that still needs your eyes\, 
 your judgement\, and your taste. The way the satisfying part of the work s
 hrank while the exhausting part grew. The isolation of pair-programming wi
 th a machine\, and the loss of real human learning\, interconnection and c
 ollaboration. And underneath all of it: uncertainty. About market conditio
 ns\, about employability\, about whether the skills we've spent years buil
 ding will still matter.\n\nThe second half is about what's been working fo
 r me\, and what hasn't. On the human side: encouraging pairing and teamwor
 k even when the tools push you toward isolation\, sharing the pain openly\
 , naming the uncomfortable thing. On the technical side: structuring your 
 environment to collaborate with LLMs more deliberately — writing plans\,
  configuring project-specific rules. Learning when to stop prompting and j
 ust write code. And critically: rebalancing the push and pull of informati
 on so that you're directing your attention\, not feeling at the mercy of t
 he model's output. More Star Trek\, less Black Mirror.\n\nLeave with concr
 ete strategies for recalibrating your workflow\, challenges to discuss and
  the reassurance that if you're finding this hard\, you're not broken. The
  feedback loop is. And we can start fixing that.
DTSTAMP:20260602T223337Z
LOCATION:Hardwick Hub
SUMMARY:The Human-in-the-Loop is Tired - Laura Summers
URL:https://pretalx.com/pydata-london-2026/talk/3YH3WF/
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