AI
NDC Copenhagen Keynote: After the AI Hype –What’s Real, and What’s Next
I remember listening to Richard Campbell on .NET Rocks!, and he has a fantastic mind. He’s been through many of the “revolutions” in tech (the Internet, mobile, cloud, AI) and presents the roadmap of how we got here and what things look odd.
New Skills! v1.1 brings /wayfinder, /research, /implement, /to-spec, /to-tickets
Matt Pocock created a popular library of LLM skills. This video covers some that have been renamed, and new ones that have been released.
Career
This is a long video (75 minutes) that contains a collection of tips from a staff engineer at Meta, primarily aimed at software engineers in their 20s and 30s. Some of the tips are very practical (e.g., invest in your retirement), others are more geared toward an assumption that AI will be one of the most important skills to have. He’s at least transparent that nobody knows what the future will look like. There are several tips that I disagree with, and I think a considerable factor in his (or anyone’s) success is luck.
Software Engineering
The author makes the case that specifications are just another (imprecise) system that needs to be maintained. The code is the other (precise) system. He makes the argument that having good tests are more valuable than specs.