211–220 of 222 posts
Anyone have good alternatives for ci/cd on the cheap for a solo dev? I’m blowing through my 1000 mins in days. Thinking to either pool some free tiers or figure something out with spot instances. Also is it just me or is CI/CD tooling still sort of rough all around.
I have Gitea and Gitea Runner apps running on TrueNAS on an extra mini PC in a closet. Works better than GitHub for me.
They should also remove Copilot code reviews from being counted as metrics in a PR. I've seen some projects that use it and you open the PR page to be greeted by every PR having 3-20 comments but when you goto the actual PR, there's no one except the contributor with a bunch of Copilot feedback. It gives a false message that the PR is resonating with folks and has real activity. I wonder if GitHub did this on purpose…
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I disagree, even though I'd love for it to be different. With models like Opus, I can give it a good architecture and expect good results. For many of the less expensive models, that is not the case, they make mistakes, you need to over specify, they get stuck in a loop, etc. As you get to the models you can realistically run locally, it gets so frustrating I'd rather be writing the code myself.
At what point will local inference catch up to today’s cloud inference? Will it ever? If it doesn’t, does that imply a certain dead-end for the LLM inference industry?
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> That is no longer a helpful tool... it costs like ~15% of an actual dev. The full cost of each employee is more than their salary. The common estimate is 1.4X their salary due to all of the employer-paid taxes, benefits, and other things. So even $2K/month of token costs would only be around 10% of the cost of a mid-range developer cost. It doesn't have to increase productivity much to justify the cost.
The arithmetic is a little different in every country because of local rates of pay and taxation but it's worth remembering that in most of the world except for the richer parts of the US developers do not get paid what those US developers have been making in recent years. There are a few exceptions but the norm is several times less even in major economies in Europe or Asia. Another challenge for US tech companies i…
They should also remove Copilot code reviews from being counted as metrics in a PR. I've seen some projects that use it and you open the PR page to be greeted by every PR having 3-20 comments but when you goto the actual PR, there's no one except the contributor with a bunch of Copilot feedback. It gives a false message that the PR is resonating with folks and has real activity. I wonder if GitHub did this on purpose…
Where I work that many comments could be taken as a bad thing: "i've seen too many comments finding issues or nitpicks with your PR, why aren't you doing a better job before submitting it for review??"
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Where I work that many comments could be taken as a bad thing: "i've seen too many comments finding issues or nitpicks with your PR, why aren't you doing a better job before submitting it for review??"
Where I work, the latest trend is to open the PR with the pure vibe code, then the developer who opened the PR will review it as if its someone else's PR, so before anyone else even looks at the PR it can have upwards of 50 comments on it.
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The arithmetic is a little different in every country because of local rates of pay and taxation but it's worth remembering that in most of the world except for the richer parts of the US developers do not get paid what those US developers have been making in recent years. There are a few exceptions but the norm is several times less even in major economies in Europe or Asia. Another challenge for US tech companies i…
I'm very excited for a tech sector disconnected from silicon valley. We've forgotten that you can get a lot of scrappy stuff done in a shed for quite cheap when you're not trying to inflate hype bubbles constantly.
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If you’re demanding rigorous proof for only one side of an argument while assuming the other side must be true, you’re not interested in honest debate. The cost of AI inference has been a heavily analyzed topic. I trust the professional analysts much more than the casual Hacker News commenter claiming they’re losing money per token because they’re repeating what they heard some other Hacker News commenter say