What we covered:
– Building a knowledge graph is like city planning & road construction. Too many prerequisites leading into a single topic creates a cognitive traffic jam.
– Elegantly rewiring a live knowledge graph: the evolution of our tooling and automatic validations. How to avoid staging servers & migrations and NOT have it blow up in your face.
– UI work takes time and adds complexity, so we spend it on the customer. Internal tools are almost entirely command-line; clickable buttons are for customers.
– Justin's transition from research coding to real-time systems. He started with mathy, notebook-driven quant code and had to learn production engineering the hard way. Once he did, it was a massive level-up.
– Alex's plan for dealing with "content papercuts" - small issues that pile up. Inspired by Amazon’s “papercuts team.”
– Our upcoming differential equations course, the last course in the core undergrad engineering math sequence.
Timestamps:
00:00:00 - Building a production-grade knowledge graph is like city planning and road construction
00:07:26 - Elegantly rewiring a live knowledge graph: the evolution of our tooling and automatic validations
00:24:47 - Justin's transition from research coding to real-time systems
00:44:51 - Alex's plan for dealing with "content papercuts" - small issues that pile up
00:58:02 - Our upcoming differential equations course
Follow on X:
Math Academy - https://x.com/_MathAcademy_
Justin Skycak - https://x.com/justinskycak
Jason Roberts - https://x.com/exojason
Alexander Smith - https://x.com/ninja_maths
