As a tech lead or eng manager, you so frequently get request from above or from other teams to drop what you are doing and work on this thing they need, *now*.
During my 4 years at Uber after asking these questions, 9 out of 10 times it turned out it wasn't really urgent:
1. "What is the impact of this work you're asking for?" If the impact is unclear: sorry, but we can't do the work. Why would we?
Just this question made the requester realize half the time they just think it's urgent, but don't know what the work will actually result in.
2. "Do you have a spec that is agreed with stakeholders?" A writeup answering the "why" and the "what" that is signed off by relevant business folks.
I've seen so much engineering work thrown out as later the business goes "that's not what we wanted, why didn't you tell us?"
3. "We're not committing to any work before we have done a rough estimation."
With #1 and #2 done, many stakeholders will come and say "drop what you're doing, this is a 3-day work we need ASAP."
Hold your horses. You don't make estimates: the team doing the work does...
4. Make the cost of dropping what you're doing very clear.
This cost is always forgotten by the person coming with the request. But it's a relevant one: wrapping up work, onboarding to the new work, then later onboarding to the old work. Plus a hit on morale for a sudden change!
Uber has some very hectic times when there were reasons we needed to do some new work ASAP. Like a regulation change that means the company would be banned from operating in a region if not building something.
Even in such a place, most "urgent" things turned out to be noise.
The way I always approached these requests was to educate the person coming with them, and have them realize their work is actually not as urgent or as important or as impactful of what the team is already doing.
Doing so meant building empathy both ways, and less hard feelings.
A huge upside of this approach: when committing, you *can* commit with a very high certainty that you will not be interrupted with your work.
The alternative: take on this "super urgent" work, then someone else comes along saying " I need you to drop what you are doing *now*..."
• • •
Missing some Tweet in this thread? You can try to
force a refresh
Amusing use of LLMs at a more traditional company:
“A project with ~50 people got stuck. There are too many JIRA tickets, no clear specification, and anytime one team tries to make progress, the others shoot it down.
So a dev built an LLM to try and break the deadlock: (cont’d)
- Fed all JIRA tickets to the LLM. Built a basic RAG with vector DB
- Had it generate questions about the project, about topics not covered by the tickets
- Had the LLM attempt to answer the same questions
- Generated a report of what areas are not specified
- Tried to use this to stop teams rejecting suggestions “because this is not well specified”
A PM at this company told me this story. Asked him if this LLM helped break the deadlock? His response:
“No. We’re still stuck. But it was good fun to build it and an excuse to play around with vector databases!”
Regarding the Windsurf sale (part of the team acquihired by Google, prob a great exit, but not all the team):
I feel we’re forgetting well-funded startups today are NOT scrappy startups in the past where employees work for pennies, paid well under market.
Its a different game
What is true, and always has been true: founders and decision makers always have the biggest potential upside - for anything! Including negotiating and acquisition.
This is why so many accomplished employees eventually become founders - because its hoe you have more control of your destiny
It still stings to have some people get much better outcomes during an acquisition.
It’s a reminder that as an employee, you really don’t have leverage beyond hoping founders look out for you… sometimes they do, sometimes they don’t
There was this engineer on my team a while back who was: a good dev, but not the best dev. Got everything done. But had zero ego, a very nice personality, and got along with *everyone* on the team very well.
When he joined, the team became... better. Nicer. More balanced.
I just got a reference check about this dev, asking the usual questions ("what is an example where they delivered over and beyond," "how did they execute", "what are growth areas" etc)
He did fine on all of them, but I still think how much better he made my team. With stuff that's hard/impossible to measure!
Makes me realize how hiring is not focused on this stuff: "how would this person make the team better."
I guess, it is hard to be focused on this.
But this was one of the *very* rare devs who made every team much better. Nicer. More motivated. More a "team."
So predictable that we’ll see an explosion of digital products selling “ideas for million dollar businesses” that you can “just vibe code quickly”.
Basically: “buy my digital product for $500, spend $1,500 on Lovable / Claude Code and become a millionaire.”
Another hype train
Ofc these products promoted by influencers will work just as well as crypto sh*tcoins launched by influencers in 2023.
We’ll see doctored evidence (“someone who built one of ideas idea is at $5K MRR after 2 weeks”) and nontechnical people will spend thousands for $0 in return
The predictable winners: AI infra companies! Lovable, Vercel (with v0), Claude Code, Cursor, Replit, Gemini and any and all products that (at least partially) position themselves as “AI tools to build your idea that work even if you’re not a developer”
And it’s stated. A gold rush where - and the surest winners are those selling the shovels!
I generally like Anthropic: but the more they paint a dystopian future where AI “manages” people (“AI middle-managers”) the more I am starting to think they are losing their marbles.
LLMs is a tool humans should use. The tail should not wag the dog; Anthropic should know better
And frankly I’m getting tired of Anthropic being loud about how their AI will lead to mass unemployment, and while claiming to be a responsible lab to develop AI.
If your master plan is to wipe out the labor market for profit: you’re not responsible.
I DO feel recently that Anthropic is the single least responsible lab out there.
Thanks to their CEO parroting how their AI will lead to massive job losses: not being concerned the least, and seemingly *wanting* this outcome (even if it’s not realistic).