High-Perfomance - Making Data Mistakes

Making Data Mistakes

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High-Perfomance

A collection of 4 posts

Making Tea While AI Codes: A Practical Guide to AI-assisted programming (with Cursor Composer Agent in YOLO mode)

Artificial Intelligence

Making Tea While AI Codes: A Practical Guide to AI-assisted programming (with Cursor Composer Agent in YOLO mode)

A practical guide to AI-assisted development, where coding becomes a true partnership with AI. Drawing from hundreds of hours of experience, learn concrete patterns and practices for achieving 2-5x productivity gains while keeping AI's power safely contained.

Postmortems: The single most important keystone habit for a team (step-by-step guide)

Postmortems: The single most important keystone habit for a team (step-by-step guide)

Every time something goes wrong, or could have gone better, run a blameless, five-whys-inspired Postmortem to figure out how you could improve going forwards.

Make it work, make it right, make it fast

Make it work, make it right, make it fast

I first heard this phrase from Gael Varoquax (one of the core scikit-learn committers) in a talk[1], and I loved the super-concentrated wisdom of it: * Make it work. First of all, get it to compile, get it to run, make sure it spits out roughly the right kind of

How to Cheat at Data Science (with help from Centaurs and the Wizard of Oz)

What does it take to run a high-performing data science team? In this 15-minute video, I talk about two tools that I’ve found invaluable for doing just that: * Wizard-of-ozzing is a technique for product discovery that can be very helpful for evaluating potential problems to work on [6:00]