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*..."
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And yes, Sonos used to have a great software experience.
I got my first Sonos around 2019 or so I think - and the setup and tuning were very nice (positioning speakers in a room for best performance.) Worked well for me at least.
Major banks skipped due diligence on the deal when providing massive loans to the world's wealthiest person buying Twitter for $44B, assuming they would make a quick buck by selling on these loans.
But they cannot sell it on and make money on it?
The full story by WSJ:
It's hard to feel sorry for massive banks that don't make the quick buck they expected to do, because they loaned for an objectively terrible deal? (Twitter was sold for 2-3x the value of Snap, despite fewer users, similar rev)wsj.com/tech/elon-musk…
FWIW Snap today:
- Has ~2x as many users as we can assume X has (Snap: more than 800M MAU)
- Has ~2x as much annual revenue (about $5B)
- Is worth $15B
... meaning X would be valued no more than $15B today, most likely.
It's notable that coding assistants like Copilot, Tab9 and many others are available in most IDEs... save for XCode.
This means we have an unlikely "control group" to determine if these AI assistants make a major difference in coding: native iOS devs vs everyone else!
Assuming these coding assistants provide a meaningful and long-term productivity boosts: teams doing web and Android development using these tools (e.g. via Jetbtains or GH Copilot) *should* be meaningfully more productive vs iOS folks.
Interesting if we'll see major differences
The reason for this is how XCode seems to be deliberately hostile for extensions: and so the inline coding extensions that IDEs like Visual Studio and Jetbrains IDEs support (and that AI tools use) are not available for XCode.
Outside of coding and customer service, what are areas where GenAI / LLMs result in very clear productivity gains or business gains, without a deterioration in the experience for customers?
These are two areas I currently see as "yeah, GenAI actually works here, not just a fad"
Funnily enough, even when Sundar Pichai was asked about GenAI, he seemed to only list these two examples. Two weeks ago he said:
"There are pockets, be it coding, be it in customer service, et cetera, where we are seeing some of those [GenAI] use cases seeing traction"
The "et cetera" is what I'm interested in.
Coding is a fantastic fit for GenAI:
- Simple grammar (simpler than human language!)
- Huge amount of extremely high quality training data (code that compiles!)
- Hallucinations can be limited by compile/test
- Humans review output
Here is an EU regulation that surely massively accelerated online businesses:
The right to return any physical goods purchased online within 14 days.
Here’s why (my recent story with a faulty vacuum cleaner that will make me only buy stuff like this online, even from a shop:)
I needed a vaccuum cleaner while in Hungary. So I walked into a retailer shop and bought a cordless one.
The vacuum cleaner broke after 7 days (no charge.) Took it back to replace it… but was told that in-store purchases are not eligible for the 14-day return. Only online ones
So now the retailer is sending my brand new vacuum cleaner for repair. I have no appliance for 2-3 weeks while they attempt to repair what should have not been broken.
There is zero point as a consumer buying appliances in-person: thanks this 14-day policy not applying to them.
Delta (by regulation) needs to stand in for the losses and cover them for passengers.
The interesting parts of the lawsuit will be:
1. What contracts did Delta strike with CS/MS in case of them causing financial damage to their business, like now?
2. What does the judge say?
FWIW suing Microsoft seems to be pointless to me. Liability stands with CrowdStrike: they very clearly caused the damage. Just me, but I cannot see a judge come to any other conclusion.
Ship changes that run in the kernel at your own risk, as we will see.