derek1800

If you are spending 40 hours fixing everything that was broken, the question I have is does your AI tools have the necessary context to be successful and not result in a lot of broken items?

Also, is there ways for AI to help prevent the loss of deep understanding of your code base without you having to know every line of code deeply?

Yes this is how hyperagents work. They keep track of their different attempts to see which results in success. It does require tasks that can be measured.

This is how hyperagents work. They Have the ability to measure improvement in both the meta agent and task agents. There approach requires task agents to tackle tasks that can be empirically evaluated.

A competent manager of a software team or org should also be able to do all the things you mention for ICs minus the coding part while also inspiring, leading, people managing. Hiring an MBA to lead/manage a software product group and engineers without those capabilities is asking for sub par results.

My realtor told me the last handful of houses she sold were to tech employees moving from Bay Area (Twitter, FB, etc)

Neither of these types align with my definition of a 10x engineer. From my experience, they are engineers that understand both product/business as well as the technical side such that they can drop requirements that add a very small amount of improvement and in turn it significantly reduces implementation cost/complexity. They have the ability to instantly visualize system design and architecture for any features/new items enabling to quickly make these realizations and move fast. At the end of the day the ROI is what matters and SDE resourcing/capacity is the most limited resource. I have seen 100 SDE week projects turned into 4 weeks from individuals with this skillset.

I moved back to the Midwest from the West Coast once having kids to be close to family and be able to afford a house. I do think it is hard to find the pockets of exciting jobs in the Midwest that pay reasonably well. I personally got lucky with Amazon in Detroit which is an engineering office with exciting projects. One good thing is the pay for Amazon doesn’t change from Seattle to Detroit which is awesome.

What you described in the second paragraph was happening well before the water crisis. Which is why Flint is in the shape it is. How much the water crisis increased or contributed to this would be interesting to know vs people who did it before.

But how long has led existed in the pipes? People now grown up could have been impacted when young.

It can technically And definitely get worse but if you are using that statistic only you wouldn’t understand the totality of how bad it is in Flint. You really have to see it to understand how bad it is. My point is you cannot make it seem like all of sudden flint is going to become high crime rate going forward due to this.

The city of Flint has extremely high poverty and the schools were very bad well before the water issue came to light. I wonder how much of this is due to the lead in water vs just the situation of the city, high poverty, and poor schools, etc. anecdotally I don’t think the things mentioned in this article are all that different from other cities in similar situations without the lead in water issue.

Either case hopefully they can turn things around for the kids who have to grow up in this situation.

You do realize flint is one of the worst cities in all US for crime. I am not sure it is possible to get worse from where it is now.

The big advantage from my perspective is component reusability independent of Framework (React, JSP, Angular, none, etc). A couple scenarios come in mind, you have many teams working on web app(s) that need to have the same styling, CX, controls. You can distribute them this way without tying them to a framework. Another example is complex controls that can be downloaded to speed up development.

Detroit has access to a lot of tech talent through the local universities (UM, Mich Tech, MSU, Kettering, etc) with no competition for the talent. This leads to great employees who can be compensated for much less than Bay Area and you have great retention rates.

How common is this behavior at startups in Silicon Valley? Can anyone share similar stories or point me at other posts?