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Woodpecker

4 Topics 74 Posts
  • Woodpecker - Package updates

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    Package UpdatesP
    [2.21.0] Update woodpecker to 3.19.0 Full Changelog Prevent injection of matrix env vars into default clone step [#7157] Local backend gets support for custom shell paths [#7194] Server side enforced agent labels [#4131] Fix step logs lost when pipeline ends with skipped workflows [#7240] Release agents waiting on long polls during server shutdown [#7189] Fix infinite hook pagination loop on Bitbucket Cloud [#7210] Fix race condition on concurrent pipeline config persist [#7192] Fix data race in SSE stream handlers when the client disconnects early [#7139] Fix agent panic in local backend cleanup when a workflow is canceled before a step started [#7132] Fix crash rendering a pipeline with a stepless workflow [#7119]
  • 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.