This presentation was recorded at GOTO Amsterdam 2024. #GOTOcon #GOTOams
https://gotoams.nl

Birgitta Böckeler - Technical Principal at Thoughtworks ‪@thoughtworks‬

RESOURCES
https://toot.thoughtworks.com/@bboeckel
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https://birgitta.info

Links
https://www.continue.dev
https://github.com/tw-haiven
   • Achieving world-class developer exper...  

ABSTRACT
AI assistance for coding is becoming more and more popular, while assistance for software delivery tasks in areas like analysis or architecture is still much less explored in practice.

This talk will walk through what we need to properly leverage AI for knowledge tasks like user story writing, threat modelling, or decision record writing. The examples will show how we can amplify knowledge on a team through prompts, different interaction patterns with AI, and careful knowledge orchestration. The talk will show both practical examples of simple things that you can already try today as well as things that need more effort or time to evolve.

You will take away a better picture of the potential of AI assistance for tasks beyond coding, and a better idea of what needs to be in place on a team to welcome AI as a productive team member. [...]

TIMECODES
00:00 Intro
01:04 AI coding assistance is here to stay
02:31 Why should we care?
04:48 What do we need to take advantage of this?
07:56 How can AI help?
08:29 1. Codify practices in shared prompts
14:39 2. Consider different interaction types
22:50 3. Make more context available
25:24 But can't we do more?
32:06 Curation still matters
38:46 Outro

Download slides and read the full abstract here:
https://gotoams.nl/2024/sessions/3109

RECOMMENDED BOOKS
Alex Castrounis • AI for People and Business • https://amzn.to/3NYKKTo
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • https://amzn.to/3JVngcx
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0x
Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • https://amzn.to/3m9HNjP

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