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JIT Learning: It's great until it isn't
--client
lca
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lca2019
--room c2 14565 --force
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Marks
Author(s):
Tessa Bradbury
Location
C2
Date
jan Tue 22
Days Raw Files
Start
11:40
First Raw Start
11:12
Duration
0:40:0
Offset
0:27:08
End
12:20
Last Raw End
12:23
Chapters
00:00
0:02:20
0:32:20
Total cuts_time
32 min.
https://2019.linux.conf.au/schedule/presentation/224/
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Just-in-time learning, the act of learning when you need it rather than spending weeks/months/years on it up front, is part and parcel of modern software development. It's how we make it though the ever-changing industry we're in and how we make use of all the abstraction layers we have. But does it really work for everything? Drawing on specific stories from my first few years as a software developer, we'll explore some of the underlying assumptions of JIT learning, some notable instances where it falls apart and some ways of addressing those issues.
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