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Woodpecker

4 Topics 68 Posts
  • Woodpecker - Package updates

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    Package UpdatesP
    [2.16.0] Update woodpecker to 3.15.0 Full Changelog Support optional flag in depends_on for workflows and steps [#6461] Add config to change default pipeline config paths and extensions [#6580] Allow disabling service workspace volumes in k8s [#6644] Add timezone support for crons [#6597] Add CI_PIPELINE_RERUNS environment variable [#6588] Group logs by command in step logs UI and make them collapsible [#6398] Fix org lookup panic [#6652] local backend: on linux / mac start commands in own process group and kill the group on cancel [#6609] fix(agent): persist agent ID after auth to prevent crashloop duplicates [#6543] fix(gitlab): preserve private flag when webhook payload omits project visibility [#6544]
  • Autoscaler

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    J
    Good idea. For the moment, you can of course just run the autoscaler in another VM directly .
  • What is Woodpecker ?

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    timconsidineT
    @LoudLemur said in What is Woodpecker ?: What prompt do you use for this? useful course (currently free) https://www.deeplearning.ai/courses/#short-courses In summary, in this short course you've learned about two key principles for prompting. Write clear and specific instructions, and when it's appropriate, give the model time to think. You also learned about iterative prompt development and how having a process to get to the prompt that's right for your application is key. And we went through a few capabilities of large language models that are useful for many applications, specifically summarizing, inferring, transforming, and expanding.
  • Mention it's a Drone fork..

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    girishG
    Yup, this is mentioned in the tags. One thing is drone and woodpecker have diverged quite a bit since their early days. Even the yml format differs and agent communication is different protocol. So, I don't want to highlight this is an alternative but really it's just a CI/CD. https://woodpecker-ci.org/ makes no mention of Drone, for example.