[3vidence]

Googler opinions are my own.

If agentic coding worked as well as people claimed on large codebases I would be seeing a massive shift at my Job... Im really not seeing it.

We have access to pretty much all the latest and greatest internally at no cost and it still seems the majority of code is still written and reviewed by people.

AI assisted coding has been a huge help to everyone but straight up agentic coding seems like it does not scale to these very large codebases. You need to keep it on the rails ALL THE TIME.

[strange_quark]

Yup, same experience here at a much smaller company. Despite management pushing AI coding really hard for at least 6 months and having unlimited access to every popular model and tool, most code still seems to be produced and reviewed by humans.

I still mostly write my own code and I’ve seen our claude code usage and me just asking it questions and generating occasional boilerplate and one-off scripts puts me in the top quartile of users. There are some people who are all in and have it write everything for them but it doesn’t seem like there’s any evidence they’re more productive.

[8note]

as a second annectdote, at amazon last summer things swapped from nobody using llms to almost everyone using them in ~2months after a fantastic tech talk and a bunch of agent scripts being put together

said scripts are kinda available in kiro now, see https://github.com/ghuntley/amazon-kiro.kiro-agent-source-co... - specifically the specs, requirements, design, and exec tasks scripts

that plus serena mcp to replace all of gemini cli's agent tools actually gets it to work pretty well.

maybe google's choice of a super monorepo is worse for agentic dev than amazon's billions of tiny highly patterned packages?

[3vidence]

I would think this is reasonable. My general understanding at Amazon is that things are expected to work via API boundaries (not quite the case at Google).