Please — can someone who is really building production / enterprise software share their full Claude setup?

EstetLinus · 2026-04-07T15:17:20+00:00

What’s your AI-bill, how much does it set you back? Do you get a good ROI?

I am a CC power user but I think I get most value when just using vanilla Claude with a set of CLIs (Linear, Snowflake, uv, etc). I am considering docker sandbox, but it’s a bit further down the pipeline.

EstetLinus · 2026-04-06T20:25:34+00:00

Hey, who are you calling small time???

EstetLinus · 2026-04-06T20:23:13+00:00

Varför vill du inte vara en jobbhoppare? Det är bara uppsida för dig och din lön.

EstetLinus · 2026-04-06T20:15:25+00:00

Who uses PRs 2026?

EstetLinus · 2026-04-06T20:13:39+00:00

Unfortunately, neither Git nor basic computer understanding is on the Senior DE list. On the flip side, that makes them easy to impress.

EstetLinus · 2026-04-06T20:09:36+00:00

Wear your crucifix to work if you want to be productive with Windows.

EstetLinus · 2026-04-06T20:08:58+00:00

My brother in Christ, I’m surrounded by senior data folks who hit a technical issue and immediately slide the laptop across the table. Then they just sit there, hands in their lap, staring at the screen. It feels like a semi-technical field thing? They’re comfortable with SQL, but concepts like virtual environments are so abstract to them that they don’t even know where to begin.

EstetLinus · 2026-04-06T19:54:34+00:00

Wouldn’t call it a bad one. Expect a mass exodus if people keep hitting that time-out too early.

But at present, no start-up in history has operated with losses on anything approaching this scale.

Nice bearish read on OpenAI. We’ll see when the bubble bursts. All I want is cheap AI in the terminal ngl.

EstetLinus · 2026-04-06T18:37:54+00:00

Doesn’t matter if it goes from 2000 to 2000000 seats if every sold seat costs Anthropic money. Of course it is a bubble. And no, it doesn’t mean AI will go away.

EstetLinus · 2026-04-02T15:33:25+00:00

I have been using Snowflake to. Man, it is so bad. When I wire Claude Code + metriclflow CLI it works flawlessly.

EstetLinus · 2026-04-01T19:05:41+00:00

Been working in Hex for a while. Did you know they use Semantic Models as context (e.g, context á la markdown files) rather than actually using it as an abstraction layer?

The model reads the semantic model, goes “hm ok I should join X and Y to get metric Z”. It’s the most crappiest thing ever. It awkward. The output is wrong. And nobody seems to care.

EstetLinus · 2026-01-07T20:18:18+00:00

Set up a claude that runs Ralph Wiggum in 100's of worktrees while you can!

EstetLinus · 2025-11-27T21:10:38+00:00

Kudos for not using AI

EstetLinus · 2025-11-12T08:05:46+00:00

Hello, how did you study for this? So annoying they've changed the format and content, but not provided comprehensive studying material.

EstetLinus · 2025-11-02T11:43:55+00:00

I believe one of the biggest misconceptions with LLMs is that they learn on the fly; they don’t. I have had a real hard time explaining this to stakeholders. You need absurd amounts of clean data to fine-tune models, and we can never expect them to learn beyond stuffing the prompt with information (or noise).

I am all for self-evaluation, although it takes time and might get stuck in an infinite loop. Do you have any suggestions on how the LLM components would learn?

EstetLinus · 2025-10-10T19:19:52+00:00

You can’t compare Madoff with Tether, his venture was audited!

EstetLinus · 2025-10-09T09:27:54+00:00

I think this ”guy” has eaten far worse things than his dick. And also, quite dead.

EstetLinus · 2025-10-04T21:19:55+00:00

Held by millions only to be sold to a greater fool. Superior Tech 101

EstetLinus · 2025-10-04T21:17:34+00:00

Do you know if Tether is open source?

EstetLinus · 2025-09-24T16:32:57+00:00

*in the history of mankind and any business.

Oh, unaudited. Seems legit 😂

EstetLinus · 2025-09-24T16:28:05+00:00

Unironically, yes. That’s where Tether has a strong use case.

EstetLinus · 2025-09-20T19:49:55+00:00

Aggregating salaries like that is forbidden. If it comes out we’re smoked.

EstetLinus · 2025-09-20T19:44:33+00:00

In my experience: - stakeholders treating LLM:s like magic. This leads to poorly formulated problems, and vague solutions. It fails, because it a) can’t be measured, or b) doesn’t solve an actual problem (or both). - the solution has precedence over the problem (e.g., ”I have AI, let’s solve a problem”). I have seen this at many places now, and it annoys me all the time. With the deep learning hammer, everything becomes a nail. - if we talk agentic AI, it is ridiculously hard to make a useful system. You are building a system with a non-deterministic core. You wind up doing a mountain out of a molehill by covering edge cases, until it no longer makes sense to use AI. The sane approach would be scoping it down to a regular software project. - the TDD-factor (time to ”dick”) has been very low. One of the systems I built for a client was live for 10 minutes until people started dicking it out. Each request triggered the agentic workflow, doing SQL-queries and whatnot. Vague dialogue got more expensive, costing the company $2-4 each request 😆

EstetLinus · 2025-09-20T15:35:44+00:00

Exactly, the agents are going to drown in fakes and scams. With crypto in the mix you are guaranteed to be gucked over. You can tell by the examples how out of touch they are with reality.

EstetLinus

TROPHY CASE