Translating a project that includes a good test suite from one language to another is known to be a great case where LLMs work well.

When you’re starting with a complete codebase to use as an example and a test suite to check everything it’s much easier to iterate toward the desired goal. The LLM can already see what the goals are and how they’ve been implemented once already, which is a much easier problem than starting from a spec.

It's a new era of capital, literally, in software development. Ownership of the means of production is now concentrated.

There are not many companies that live off taking full test suite made over decades and just generating code off it.

You could have said the same thing about steam power or electricity. And it’s not just an analogy: The magic of these things is in being universal information engines. You spend capital to build them, using well-understood, scalable techniques, plug them into electricity, and out comes value.

My point is, there’s no chance of a “haves and have nots” emerging, any more than electricity turned out that way in the modern world.

Unclear. Very good products tend to be about doing one or a few things very well; not about doing tons of stuff. So far, all I see is “Man, Im a 10x engineer now!”, shipping more code but without clear direction and taste. At this point, most of LLM-based work is just noise.

Nah. These agents are getting easier and easier to run local. Have you tried Qwen 3.6 27b? It’s insane what it can do compared to its size. Like 100% vibe small projects if you manage context properly.

These models are a race to the bottom just like compute.

I can't help but wonder what this cost in USD assuming you paid standard rates from Anthropic. Can someone even ballpark the price?

With less employees....