codingwagie

8 ms·

31.
by codingwagie 1y ago
its not dead, its democratized
32.
by codingwagie 1y ago
it was two weeks tossing around ideas in my head
33.
by codingwagie 1y ago
ive got ten years at faang in distributed systems, I know a good solution when i see one. and o3 is bang on
34.
by codingwagie 1y ago
im a tenured engineer, spent a long time at faang. was casually beat this morning by a far superior design from an llm.
35.
by codingwagie 1y ago
youre assuming humans built it. also, a ton of complexity in software engineering is really due to having to fit a business domain into a string of interfaces in different libraries and technical infrastructure
36.
by codingwagie 1y ago
the future is more custom software designed by ai, not less. alot of frameworks will disappear once you can build sophisticated systems yourself. people are missing this
37.
by codingwagie 1y ago
as noted elsewhere, all other frontier models failed miserably at this
38.
by codingwagie 1y ago
the other models failed at this miserably. There were also specific technical requirements I gave it related to my tech stack
39.
by codingwagie 1y ago
why would I do that kind of research if it can identify the problem I am trying to solve, and spit out the exact solution. also, it was a rough implementation adapted to my exact tech stack
40.
by codingwagie 1y ago
I just used o3 to design a distributed scheduler that scales to 1M+ sxchedules a day. It was perfect, and did better than two weeks of thought around the best way to build this.
41.
by codingwagie 1y ago
Rippling
42.
by codingwagie 1y ago
My personal opinion is leveraging LLMs on a large code base requires skill. How you construct the prompt, and what you keep in context, which model you use, all have a large effect on the output. If you just put it into cursor and throw you
43.
by codingwagie 1y ago
Very easy with the naming system?
44.
by codingwagie 1y ago
Heres a secret: Most of the highest funded VC backed software companies are just copying a competitor with a slight product spin/different pricing model
45.
by codingwagie 1y ago
Yeah its over for them. Complicated business logic and sprawling systems are what are keeping backend safe for now. But the big front end code bases where individual files (like react components) are largely decoupled from the rest of the c
46.
by codingwagie 1y ago
GPT-4.1 probably is a distilled version of GPT-4.5 I dont understand the constant complaining about naming conventions. The number system differentiates the models based on capability, any other method would not do that. After ten models wi
47.
by codingwagie 1y ago
If its not cheaper, just subscribe, but subscribing outright doesnt make sense
48.
by codingwagie 1y ago
You can just go on AWS bedrock and use the thinking claude 3.7. You can tune the output size. I doubt you would spend 200 bucks a month in AWS on bedrock even with daily use of claude.
49.
by codingwagie 1y ago
bitter about what? I'm a long time employee
50.
by codingwagie 1y ago
Evidence is a decade inside these companies, watching the circus
51.
by codingwagie 1y ago
gemini 2.5 pro isnt good, and if you think it is, you arent using LLMs correctly. The model gets crushed by o1 pro and sonnet 3.7 thinking. Build a large contextual prompt ( > 50k tokens) with a ton of code, and see how bad it is. I canc
52.
by codingwagie 1y ago
The truth is that the vast majority of FAANG engineers making high six figures are only good at deterministic work. They cant produce new things, and so meta and google are struggling to compete when actual merit matters, and they cant just
53.
by codingwagie 2y ago
Should I just put a ui on top of: https://aws.amazon.com/blogs/machine-learning/customize-deep... And charge for it?
54.
by codingwagie 2y ago
This is just dev ops wrapped around an open source fine tuning repo.
55.
by codingwagie 2y ago
You dont still believe that do you?
56.
by codingwagie 2y ago
Two responses in this thread were from accounts created today lol
57.
by codingwagie 2y ago
Last night I used claude 3.7 to write 1000 lines of code, and there were only two small issues it fixed on its own. Complete quickbooks integration done in basically 20 minutes. We are living in a different world
58.
by codingwagie 2y ago
this is nothing like crypto
59.
by codingwagie 2y ago
Well human beings are just auto complete if thats all LLMs are
60.
by codingwagie 2y ago
People are just click farming with these posts. The technology is ~4 years old. We are in the infancy of this, with hundreds of billions of capital behind making these systems work. Its one of the biggest innovations of the last 100 years.

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