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o3 pro is really good, but the context is really constrained, so its hard to use and doesnt output enough. This makes it suitable for ideating on good abstractions, but cant really make broad sweeping changes. Grok will output a full file. If you use the o3 pro API, its actually great, but it gets really expensive.

I think its much better than opus. I would describe its code output as boring and to the point, no fluff. O3 Pro is better at abstraction, but grok heavy is better at bug hunting, and only doing exactly as needed. I swapped my openai pro license for grok, its good. Another big advantage is the context window size. Honestly I use these models all day long, and have felt that while sonnet 3.5 was ground breaking, but that anthropic is behind google, openai, and now xai.

For tools, I use repo prompt + grok website. Personally think claude code is overrated, and hand building the context by selecting the files is far better for complicated tasks

It happens all the time, I have seen it in NYC. Usually its an early stage thing, cofounder leaves after 1 year etc. Much harder to do with a complicated cap table. Investors I could name even suggest it

all that OCAML we only hire the smartest is often a veil for what is really a simpler operation that is borderline illegal. probably alot of employees dont even really understand the systems they work on

I know someone that made 10 million a year for a long time on wall street. They said, generally you can assume anyone making a large amount of money is a criminal. Any large deviations from the typical returns you would see in an asset class was suspicious

theres alot of shadow banning, up ranking and down ranking

This post is completely false

dont write any software until you have a product you are getting easy sales with, forget you even know how to code

ive been coding 5+ hours a day almost every day for 15 years. i think ai will replace 70% of SWE in the near future. not employement, but 70% of the current work done by engineers

all the jobs are being outsourced is why

people above and around you prefer if you stay within the range. over performing stresses other people out and causes conflict.

Yeah its called wipro/infosys/cognizant

if you are in a competitive market you will lose with this approach

This is all going to be solved by better models. Building agents is building for a world that doesn't quite exist yet, but probably will in a year or two. Building some big heuristic engine that strings together LLM calls (which is what this blog advocates for) is essentially a bet against progress in ai. I'm not taking that bet, and neither are any of the major players.

phd programs are largely immigration backdoors