nickevante

That distinction between Industrial Production and Knowledge Work feels like the root cause.

It seems like modern Agile has mutated into a tool for Manufacturing Predictability rather than Software Discovery. We are so obsessed with making the velocity graph look like a straight line that we stopped asking if we are even building the right thing.

Do you think that shift happened because non-technical management needed a metric they could understand (tickets closed), or did we do this to ourselves?

This is the exact mental model I was looking for.

It reminds me of Kingman's Formula in queueing theory: As server utilization approaches 100%, the wait time approaches infinity.

We intuitively understand this for servers (you never run a CPU at 99% if you want responsiveness), yet for some reason, we decided that a human brain—which is infinitely more complex—should run at 99% capacity and still be expected to handle urgent interruptions without crashing.

This discussion on software estimation brings up an interaction I had with an engineer who optimized Black & Decker assembly lines in 1981 using an Apple II.

They didn't estimate in 'Story Points'. They used atomic physical constraints.

He described it like this:

There was a standardized metric for all manual operations like "reach, one hand, 18-24 inches" or "pick item 10-100g." Each step had a time in decimal seconds... The objective was to minimize the greatest difference in station time so that no line worker is waiting.

The most interesting part was his conclusion on the result: Modern supply management is a miracle, but manual labor today is much harsher... The goal back then was flow; the goal now is 100% utilization.

It feels like in software, we are moving toward that "100% utilization" model (ticket after ticket) and losing the slack that made the line work.

For anyone interested in this, Jamis Buck's book 'Mazes for Programmers' is a masterpiece of the genre.

My personal favorite distinction is between the Recursive Backtracker (which creates long, winding corridors with few dead ends which is great for tower defense games) vs. Prim's Algorithm (which creates lots of short cul-de-sacs which is better for roguelikes). The bias of the algorithm dictates the feel of the game more than the graphics do.

I've noticed a similar pattern. AI assistants are incredible at kinetic coding i.e. generating boilerplate, refactoring, writing tests. But they are detrimental to potential coding especially at the architectural thinking that happens before you touch the keyboard.

Writing by hand (or whiteboarding) forces you to load the entire context into your working memory. AI allows you to be lazy with your working memory. The code gets written faster, but the mental model of the system in my head is significantly weaker.

The headline is slightly misleading. Microsoft can only provide the key if you are using a Microsoft Account which automatically escrows the BitLocker recovery key to OneDrive.

If you use a Local Account (which requires bypassing the OOBE internet check during setup) or explicitly disable key backup, the key never leaves the TPM. The issue isn't the encryption algorithm its the convenience selection.

I love how Luke has his video setup dialed in... while some of us struggle to even get our basic backpack dialed in for such adventures. Curious what selfie stick and tripod does he use to get such high quality angles and footage without spending too much effort to setup while camping. We know he used GoPro 13 Black but what about other accessories and tech gear for charging in wilderness

Vibe-based coding is sloppy and has given the tech a bad name. Used smartly by devs, LLMs can still spark innovation and solid builds provided you know what you are doing with them and their limitations.

TL;DR - Learn from each other. Pay it forward. It's not a zero sum game! :)

It's both.... mutual sharing of learning to improve the space without immediate expectation of a return to any one party.

You are assuming that the founder seeking to connect is less experienced and more desperate than the founder who is busy working on their idea and does not find the need to share anything.

Google shared the Attention paper with the world. What did OpenAI bring to the table? Tesla open sourced all their EV patents. What did BYD, KIA or Ford bring to the table?

These companies are stronger because they compete on their confidence to execute and because they make the entire ecosystem better.

In doing so they improved each other and the industry as whole. Hope this makes sense. It's not a zero sum game! :)

Application of AI could be a game-changer for microgrids, especially to a) boost efficiency, b) manage demand, and c) strengthen resilience.

Perhaps there are strong parallels with the application of AI for microservices architectures.

The learning can be shared between both systems. Any thoughts?

Agree. Ideas about what to build are dime a dozen but ideas about how to execute them successfully are not that broadly shared except when the founder becomes a big success and gets their own biography written by someone.

Perhaps I should have clarified I meant bouncing off ideas about execution and coffee chat on sharing inspiration on how they landed them against all odds.

People are busy struggling with their own execution challenges including myself. My point is they may not have to struggle alone by 1)learning from each other and 2)paying it forward.

Double the base salary true but lower overall payoff since Big Tech equity upside is already priced in.

Without a doubt the best information dense UI is IBKR Mobile App from Interactive Brokers. Kudos to the IBKR Mobile team for out-competing all other brokerages out there.

The incumbent being the concept of a car (EV or ICE) that you own and that you have to drive to get to places. Don't compare the Tesla MVP with an existing concept of a car.

Demand for new "car" is a noise. Austin FSD launch is the key differentiator and I foresee lot of sleeping on the floor moment from Elon to see it through. But if they do, the 100 year old concept of a "car" will be completely redefined.

There is a difference. Cold caller is calling to sell you something.

There is always a demand problem when your MVP product is being compared against the existing incumbents.

Tesla cars are the MVPs being compared to existing automotives just like the Model T was the MVP being compared to horse carriages.

That said Elon could do an even better job of inspiring his employees on the vision if the premise of this post is indeed true.

IMHO Networking events are but marketing and sales events for the sponsors or VCs. We need bring back our modern day version of the Homebrew Computer Club.

The one's building amazing things are far and few in between due to lack of mentors in the community and hyper focus on "what's in it for me" mindset.

Some of the comments in this thread actually highlight the crux of this issue: https://news.ycombinator.com/item?id=43957010

Sparks of inspiration for both individuals that make both of them collectively better! I agree this is a far cry in today's dog eats dog world driven by inflation and protectionism but Silicon Valley actually flourished because of this very spirit of pay it forward which seem to be missing today :(

With advent LLM driven development,the traditional web frameworks may soon be rendered obsolete.

All the framework abstractions we made for humans coding productivity will need to be re-visited! I support plain vanilla web for this reason.

If Xerox park had invited Jobs for adding business value we would have never gotten Apple! Spirit of Silicon Valley is to pay it back.

Yes depending on the profile and achievement of the person reaching out for sure. What happened to meeting inspiring people across the world? Protectionism supports incrementalism and can kill 10x impactful innovation However, I recognize that economic challenges like inflation and intense competition can make exploration and discovery more difficult.