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stefangordonyesterday at 10:04 PM3 repliesview on HN

Our agents automatically review our PR's - the authors agents automatically see the feedback and make fixes, and automatically merge when everything is green.

A well authored CI review process is significantly better than any human could do. We have the AI review not only the changes but clone and investigate all related repositories that integrate with the code to evaluate interactions, check all open and historical issues that may be related, review production/development logs for the feature, etc.

It will then also go update issues/tasks to reflect the changes after the merge.

Similarly you can have automated agents watching post-deployment to mitigate risk in the "a new feature just went out" time-frame. Just having someone check the related logs in the hours after deployment can catch a lot of issues that otherwise would turn into a fire-drill.


Replies

srousseytoday at 2:07 AM

Should this not all happen before the PR is created?

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keithnztoday at 2:45 AM

This is where we landed too. It works remarkably well. AI guidance is really the crucial thing here. I know a lot of people don't like this, think it's really bad, think it just results in slop... but it doesn't or at least never results in dead end slop. If you find what you get out of AI is weak in some area, then get it to focus on making sure that it does a better job, give it more guardrails / guidance etc till you are happy with the result.

holodukeyesterday at 10:25 PM

Must be a token burner setup. Nice if you really got it to work. Now also add business agents that come up with new features based on actual research. Your automated humanless company is almost there.

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