Is there seriously a non-frontier model out there that can do what Opus 5.5 does? I can say: go look at a ticket in Jira and figure out how to fix it, right into end tests for it, make sure it aligns with previous architectural decisions we've recorded in documents, and then test it, summarize all the testing you did, and open up a PR for review?

Yeah Opus 5.5 doesn't do that either a lot of the time you have to review it yourself or you're a moron.

Anthropic, for one, doesn't seem to be replacing their human engineers and data scientists with Opus 5.5 yet even when they would be better positioned to do so than any other company. https://www.anthropic.com/careers/jobs

But they're all using Claude (with unlimited tokens) every day, multiplying their effectiveness for sure over what even the best coders can produce.

This is satire, right?

A 10x will always be beat by 10x+ai. But ai+10x is better than just ai. The world has an over supply of ai (or soon will) but a finite number of 10x coders.

CPUs (and a million other things) got better and cheaper with time, I see no reason that AI would be any different.

The real question is not if the technology is going to get better and cheaper, but rather if it's going to meet the market expectations to justify trillions of USD in valuation.

1. What you want changes as the market does, in the way people use agentic coding now rather than just cheaper versions of Cursor autocomplete 2. Frontier labs are cheaper than open-source models too