[cryptonector]

Yes, code has always been the easy part. LLMs produce it even more copiously, so it is ever easier now, and yes, that makes the bottlenecks worse:

  - communication between humans
    "what are we to build?"
    "what is the architecture?"
    "how shall we design this?"
    etc
  - architecture review
  - design review
  - code review
  - docs review
  - ...

LLMs are also being used to:

  - understand what is possible
  - and how to achieve it
  - architect
  - design
  - review

Only the communications part is an inherent bottleneck that we cannot completely fix with LLMs -- we're humans selling to humans, humans buying from humans, humans managing humans, humans trying to convince other humans. LLMs cannot make this part much more efficient than it already is.

But even with that one constraint about human-to-human communications, LLMs are improving throughput: by writing better docs faster, by helping us get the gist faster (though using LLMs to read docs that could have prompts embedded is scary), and so on.

Personally, where the communication burden is intense I don't think we'll see 10x, 5x, not even 25% efficiency improvements. But now consider projects where the communication burden is minimal as there is only one human -- personal projects, open source projects, that sort of thing. In those cases a 5x, even 10x efficiency improvement is not out of the question. Many projects have communications burdens that are not so intense that they can't experience 2x efficiency improvements.

The challenge will lie in safely maximizing those improvements and doing it better than the competition.