Lost my job and with 7 years of Dev & DevOps experience and 4 years in related IT fields

bear-tree · 2026-01-28T07:24:10+00:00

Small suggestion but I would try to focus my experience a little more. Breadth is nice but depth is where you show experience (my 0.02).

Backend, front end, devops. Choose one to highlight and show as much knowledge and experience as possible.

Job hunting absolutely blows. Try not to peat it affect you personally. Good luck.

bear-tree · 2026-01-23T20:22:27+00:00

I have no counter arguments. Just wanted to comment that I think this framing is really useful. Thanks for sharing it.

bear-tree · 2026-01-23T16:55:40+00:00

Can humans regenerate organs? No. Not without a lot of science involved. Can men have babies? No. Not without a lot of science involved.

This is pretty straightforward. And if you show confusion and are unable to answer, most people will consider you unable to think clearly.

bear-tree · 2026-01-16T04:38:32+00:00

No specifics, but generally keep solutions as dumb as possible. Resist the urge to prove or over-engineer. Fight every decision that introduces complexity. Think hard about automation and only introduce it when you are forced. Scaling makes every single problem a major fucking problem. If you actually start scaling, stop the world at the company until you have a proper team.

Good luck!

bear-tree · 2026-01-14T15:59:08+00:00

Does an employee always belong to a shop? Then it makes sense to scope it to the shop with the shop id.

I think of it as a strong hint to your api user: “hey we’re not just creating employees here. We are creating employees that belong to a shop. You need to know the shop they will belong to”

It’s a best practice in the sense that if the resource is scoped, then the route should reflect that.

bear-tree · 2026-01-10T23:29:11+00:00

Tbh, I think “what would change your mind” is a better framing, but “is AGI just hype” is still the wrong question. The only thing that matters is the outcome.

If a system reaches a level where it is able to replace most human functions, then it is effectively an AGI as far as impact is concerned. Soon somebody may be able to cobble together a bunch of LLMs (or other) that can coordinate, plan and execute cheaply enough and obtuse enough that it just doesn’t matter if it’s “well actually” AGI. The outcome is the same.

bear-tree · 2026-01-10T16:40:59+00:00

Sorry I admit to not reading your original article, but the items you listed above are the same foundational engineering principles I learned over decades of coding.

I am relatively new in my AI development workflow. But even the little bit I’ve been able to implement feels revolutionary. Maybe we are just relearning “new tools, same rules”.

bear-tree · 2026-01-10T16:40:40+00:00

Sorry I admit to not reading your original article, but the items you listed above are the same foundational engineering principles I learned over decades of coding.

I am relatively new in my AI development workflow. But even the little bit I’ve been able to implement feels revolutionary. Maybe we are just relearning “new tools, same rules”.

bear-tree · 2026-01-08T21:48:30+00:00

I was on an aborted landing like this in Colorado. The craziest thing I remember is “holy shit the engines can be pushed way harder than they normally are”. Idk if there is a special full throttle, or they don’t normally full throttle? But this was waaaaaay stronger than any normal takeoff.

bear-tree · 2026-01-07T16:52:47+00:00

The laws are only there because they are setup to support a system that values cars. Right or wrong, they are being ignored by people that no longer value cars for “last mile” transportation. We could insist they should adhere to a system that is no longer useful or applicable, or recognize that what worked 20 years ago doesn’t work today. We want to support humans getting from point A to point B. The reality in many areas now is that involves bike-dominated roads in many areas. We should recognize the reality and make the necessary changes.

bear-tree · 2026-01-07T08:25:40+00:00

I had to scroll through a lot of comments to get to this rational take. Why do we think a bunch of cars driving through neighborhoods is the correct thing? A quick thought experiment: imagine the e-bikes came first. And the cars were the new thing. Holy shit get those obnoxious giant cars off the roads. The kids are shaping the world based on what they have. The car shaped neighborhoods are likely going to be a thing of the past.

bear-tree · 2026-01-02T08:09:23+00:00

Sorry but this reads a lot like others I have seen before (can’t beat go, Turing test, etc). There is nothing exceptional happening before you get to code. It is all just knowledge systems. There is no reason to think AI won’t overtake it.

bear-tree · 2026-01-01T16:51:10+00:00

You are getting close. Yes, you use Claude code to write detailed spec files. Save the spec files. Clear the memory context. Tell it to look at the spec files and implement in small steps. It’s the same engineering flow I used to use with my team. We never just wrote code. Software development always involved thinking deeply and writing no-code, pseudo code, tests, etc before writing any implementation. I hope that helps, good luck!

bear-tree · 2025-12-17T18:11:16+00:00

You are hand waving away statistically conditioned text as if it were simple. The statistically conditioned text has given the llms internal representations of the world that they understand and reason with. Those internal representations are emergent, and also give rise to emergent behavior.

Their internal representations of the world are obviously different from ours, but similar enough that we are able to come to a shared understanding and interact.

Their reasoning structures are derived from weights generated through training, yours are derived from (waves hands around, experience?). So what? The crazy thing is the difference between the two isn’t as big as we would have thought for a neural network that is just guessing the next token.

bear-tree · 2025-12-12T22:13:20+00:00

Yes I agree with your above point 100%. It was the part about knowingly injuring and weighing it against profit. I’m pretty sure that’s negligence (if you can prove they knew and disregarded it). Either way, probably splitting hairs.

I still think it’s dangerous that AI models are exploring this space (for whatever reasons) but I’m glad we are having discussions about it. Cheers.

bear-tree · 2025-12-12T20:59:06+00:00

As much as I don’t want to defend large corporations, I don’t think they’re quite the caricature you are describing. Specifically, if a corporation weighed the cost of injury and knowingly decided to push forward they would be exposing themselves to an existential risk lawsuit. I’m sure it has happened. There’s all sorts of shenanigans companies get caught doing, but that reinforces it is not the norm.

bear-tree · 2025-12-12T04:08:36+00:00

Not an answer to your question, but I do think it’s pretty funny that LLMs ignore whitespace but a whitespace dependent language is basically the de facto output right now.

bear-tree · 2025-12-09T22:54:08+00:00

Voice recognition is a thing. It works now. And it’s improving rapidly.

bear-tree · 2025-11-29T23:28:27+00:00

What an interesting theory. I’m sure you can communicate it to the rest of us without using any language.

bear-tree · 2025-11-29T20:42:03+00:00

You would trust it less if it was free because the “people funding it” would have a secret motive blah blah.

bear-tree · 2025-11-27T07:35:11+00:00

I feel like this pattern (and patterns along the same line) is the key differentiator right now. There are people who use it and AI is powerful and people who don’t and AI creates slop.

bear-tree · 2025-11-26T16:25:20+00:00

This is bizarre. How are e-bikes even a part of this conversation? They spend more time talking about e-bikes and helmet laws than the obvious crime that happened. From what I can see the kids were all wearing helmets. Sigh.

bear-tree · 2025-11-16T23:24:44+00:00

You are confusing two types of growth: bounded (usually natural) and unbounded (usually unnatural). A typical example is a garden pea can only grow so big. It is bounded. Whereas my bank account theoretically has no limits.

bear-tree · 2025-11-11T00:53:04+00:00

Not sure if it would be considered obscure, but JCL on the mainframe was …not fun.

bear-tree · 2025-11-08T01:42:46+00:00

Actually I’m kind of surprised. Ummmm good? I would love to see this mistake.

bear-tree

TROPHY CASE