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this post was submitted on 29 Aug 2025
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AI - Artificial intelligence
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I've been using it since the execs at my job have been pushing engineering hard to pick it up. Like any tool, it's useful sometimes but not all the time.
The line-by-line recommendations are generally helpful and it's great at small tasks such as writing shell scripts or generating boilerplate for a new project. It almost never gets anything right the first time, and you have to keep telling it that it's wrong for it to fix all of the problems.
For fun, I did ask it to fix something with my codebase that genuinely had me stumped. It came up with a very convincing solution, but it didn't work at all. So yeah, it tends to fall flat for hard problems.
For all the AI hold-outs here, please be aware that Copilot Enterprise provides very granular details of Copilot usage per user to your leaders. i wouldn't put it past any company to factor that into the next layoff decision when it comes time.
Yeah, this almost exactly sums up my experience as the sole senior engineer in one team.
It's great at looking like it did it all correctly... But just like ai art, enough is similar, but wrong, that the code ends up in uncanny valley.
Sometimes it saves me a few seconds of rewriting the properties/arguments in the correct format for a new function/component. Other times it does such a "convincing" job, but does it wrong, that I spend many minutes trying to debug why the thing that looks correct doesn't work.
The "good parts" mostly feel like glorified copy paste and linting. While the "bad parts" feel like you're debugging someone code who doesn't know what they're doing and glued a bunch of stack overflow answers together assuming it'd just work.
That is not correct for usage metrics. You cannot get any information about an individual usage other than their last used date.
You are only able to get team (teams must have 5 or more users) or larger entities usage
https://docs.github.com/en/enterprise-cloud@latest/rest/copilot/copilot-metrics?apiVersion=2022-11-28