If the CEOs are to be believed, then 75% of all new code in Google is AI generated. 46% of GitHub internal code, and roughly 30% across all of Microsoft is AI. Meta expects at least 65%, and snap reported 65% is AI generated.
replyIts how software is built now in these palces.
Unfortunately doesn’t answer the question “successful LLM project”.
replyFrom what I’ve seen of GitHub and AWS this year the answer is no. That’s despite me being bullish on LLMs and finding them highly productive.
https://blog.joemag.dev/2025/10/the-new-calculus-of-ai-based...?
replyin aws, some of the core bedrock services have been replaced with the new serving architecture. that thing was written basically with LLMs.
mind you, guy's a distinguished engineer, his team was basically all principals, but you can do it and some of the new teams are copying the style (though with less success, due to lack of technical skill).
Amazon Bedrock is their LLM serving system, so it's basically in the same class as Claude Code: AI infrastructure.
replyGiven the uhhh, quality and issues GitHub and Microslop have been exhibiting recently, that’s probably not a great indicator.
replyGithub was down so much, I was surprised that they didn't use Copilot to fix their issues
reply99% of my new writing is generated by scigen, but 0% of my successful writing.
replydeleted
replyBun, Ghostty
replyMigration projects probably won't be the best fit here
replyAn existing project has a well defined code base, test cases etc
If llms aren't able to migrate a good project then they wouldn't be of any use for general purpose programming