This presentation was recorded at GOTO Copenhagen 2024. #GOTOcon #GOTOcph
https://gotocph.com
Henrik Kniberg – AI Whisperer. Cofounder of Ymnig.ai & Flitig.ai @henrikkniberg
RESOURCES
https://twitter.com/henrikkniberg
https://www.linkedin.com/in/hkniberg
https://blog.crisp.se/author/henrikkniberg
ABSTRACT
How can you work effectively with AI as your colleague?
Since March 2023 (the release of GPT4) I’ve worked almost fulltime with AI-powered software development. Both as a productivity tool, to get work done faster and better, and also as way of building new types of products and features that were previously impossible. In fact, GenAI has completely changed the way I work and the way I look at software development. It feels like I’ve gained superpowers, but I’ve had to unlearn and change habits that I’ve built up over 30 years.
Coding with AI is a very different way of working. And like any other skill, you kind of suck at it at first but improve with practice. The transition to this strange new world can be jarring, but it is unavoidable. Being a developer in 2024 and not coding with AI is the equivalent of being 2022 and manually writing machine code or manually creating punched cards.
In this talk I’ll share practical experiences from AI-powered software development – tips, tricks, and pitfalls – using mostly live demos. These techniques will reduce your time from Idea to Working Code, which is a nice feeling 🙂 […]
TIMECODES
00:00 Intro
01:40 2 Metaphors for generative AI
02:16 Gen AI is more powerful than you think
03:40 Mindset
04:50 It’s the wild west right now
06:16 Demo 1: Rapid prototyping
14:47 AI in your IDE
16:35 Demo 2: Working with APIs
32:41 Demo: Working with legacy code
40:45 The joy of coding
41:42 Quality
43:16 Recalibrate
44:17 Probable future
45:22 Key takeaways
46:15 Outro
Download slides and read the full abstract here:
https://gotocph.com/2024/sessions/3226
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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