In this episode, we talk with Robin Quintero, creator of Complexipy —an ultra-fast cognitive complexity analyzer for Python code, powered by Rust.

Robin shares how frustration with slow tooling led him to build Complexipy in Rust, how it's helping Python devs write clearer code, and why teams are loving it for faster, cleaner pull requests. We also dig into the future of the project—from multi-language support to AI-powered refactoring.

Check out Robin's latest updates on his socials:

https://www.linkedin.com/in/robin-hafid/
https://x.com/hafitoalimania
https://github.com/rohaquinlop

And find out more about Complexipy here:

Docs: https://rohaquinlop.github.io/complexipy/

Cognitive complexity paper: https://www.sonarsource.com/resources/cognitive-complexity/

Want to know what we're reading? Check out the following links:

Rust book: https://doc.rust-lang.org/book/

Creating an AI model to refactor code to reduce cognitive complexity (in Spanish): https://x.com/hafitoalimania/status/1934063600450044061

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