[ianm218]

To get more concrete are you using coding agents like Claude Code/ Codex/ opencode etc? What kind of work are you doing specifically?

If you are doing the kind of median enterprise tech work these tools are just good enough to do it at a relatively high level or atleast heavily augment people doing it.

Examples would be like adding routine CRUD features to APIs/ improving observability/ adding tests or accessibility features to codebases etc.

[bflesch]

It try to explain it better in my longer sibling comment. I'm not using any coding agents. Their engineers can't be bothered to design their own webapp properly so I don't trust their binaries.

For me both Claude and ChatGPT are query-response services and replacements for google. They help with error messages, single-file MVPs, and software design problems such as comparison of different modules.

In my experience everything that goes beyond 200 lines creates issues down the line, so I try to keep interactions really short. Of course they can convincingly add CRUD functionality or tests, but one needs to double check their correctness, and if the subtle bugs are finally spotted then one needs to fix them anyways.

It's good for a first draft but I wouldn't use agents on a codebase I actually care about.

Unfortunately the billion-dollar funding forces the AI startups to make a return, and they are finding it in a vulnerable cohort of people who respond positively to a simulated human interaction, which is why they are focusing so much on it.

The query-response knowledge interface was the moat of google, and nowadays it can be 80% replaced with a local GPU and an open model. They know it, which is why they try to hook people on the simulated human interaction aspect of their interfaces through chatbots and voice chat.