#213 What happens when the model CAN'T fix it? Interview with software engineer Landon Gray

Today Quincy Larson interviews Landon Gray. He's a software engineer who worked at agencies for years. Then he taught himself AI assisted software development. And now he's helping other devs do the same.

Landon's famous for proving that RAG pipelines can be written in Ruby and popularizing Ruby as a language for building machine learning projects.

He works as an AI Engineer at a enterprise software company and runs a popular newsletter.

We talk about:

- How Large Language Models are just the raw fuel, and harnesses are the real engine to get things done

- Why building your professional network is so helpful for finding clients and landing job interviews

- Why Landon helped port Python machine learning libraries to Ruby, and why he thinks that – now that AI is just an API call away – the Ruby ecosystem is better-positioned than ever.

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Links from our discussion:

- Landon's Substack newsletter: https://landongray.substack.com

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