Episode description

If you’ve worked on data problems, you probably have heard of Airflow and Superset, two powerful tools that have cemented their place in the data ecosystem. Building successful open-source software is no easy feat, and even fewer engineers have done this back to back. In Part 1 of this conversation, we chat about how to adapt to the LLM-age as engineers.

Segments:

(00:01:59) The Rise and Fall of the Data Engineer
(00:11:13) The Importance of Executive Skill in the Era of AI
(00:13:53) Developing the first reflex to use AI
(00:17:47) What are LLMs good at?
(00:25:33) Text to SQL
(00:28:19) Promptimize
(00:32:16) Using tools LangChain
(00:35:02) Writing better prompts

Show Notes:

- Max on Linkedin: https://www.linkedin.com/in/maximebeauchemin/
- Rise of the Data Engineer: https://medium.com/free-code-camp/the-rise-of-the-data-engineer-91be18f1e603
- Downfall of the Data Engineer: https://maximebeauchemin.medium.com/the-downfall-of-the-data-engineer-5bfb701e5d6b
- Promptimize: https://github.com/preset-io/promptimize

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