We’ve had a very recent uptick in engineers submitting PRs of hundreds of lines across multiple files, for Jira tickets that only asked for a one-line change. The engineers involved have been using AI assistants for nearly two years now, but there seems to have been a change in the last month or so in how aggressive the new models are at changing code.
This is exacty what I’m seeing. I’ve been using it in a DevOps capacity to act on runbooks. The same wrote task 3 months ago now consume 4-5x more tokens. this correlated closely with when anthropic released auto mode.
We’ve had a very recent uptick in engineers submitting PRs of hundreds of lines across multiple files, for Jira tickets that only asked for a one-line change. The engineers involved have been using AI assistants for nearly two years now, but there seems to have been a change in the last month or so in how aggressive the new models are at changing code.
Almost as if they’re paid by the token…
This is exacty what I’m seeing. I’ve been using it in a DevOps capacity to act on runbooks. The same wrote task 3 months ago now consume 4-5x more tokens. this correlated closely with when anthropic released auto mode.
Use ponytail to keep 50 line changes to 1 line, and use rtk to save tokens.
Also use an assistant to checkout someone else’s diff and review it in chunks
2 years and they still don’t know how to prompt…
I mean, I don’t know how to prompt. Mostly because I don’t use AI to code.