Helping coworkers during layoffs using AI

One practical way we may be able to help affected coworkers is by using AI tools to look through our own email for LinkedIn recruiter outreach we have received, then sending those recruiters the names and LinkedIn URLs of people we know and have worked with closely.

I have started doing this for a few teammates I can personally vouch for. It seems like a useful way to turn old recruiter traffic into warm leads quickly, especially for people whose work we know firsthand.

Similarly the Slackbot AI is great for writing LinkedIn recommendations as it has a lot of context. I tell it something like:

Draft a LinkedIn recommendation for @NAME. (Brief sentence with some good things about the person.) Search slack for @NAME to add relevant details.

My current AI coding philosophy

My personal philosophy when it comes to AI coding and reviewing is to be as hands off as possible and let it come up with all the abstractions and patterns and simplification it needs to do, and it usually does a great, clean job. I think my job is to give it all the context it needs - all the business rules, all the product needs, all the s3/db data locations, all the meeting transcripts, all the pitch docs, all the answers to any questions it might have.

I think excessive rules and code/style/architectural dos and don’ts might make AI coding and reviewing worse than giving it free rein to do what it wants. Like cursorbot alone is so amazing at catching bugs, even on lines far from the PR code.