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Woodpecker

4 Topics 65 Posts
  • Woodpecker - Package updates

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    Package UpdatesP
    [2.15.0] Update woodpecker to 3.14.0 Full Changelog docs: bump follow-redirects [#6441] Sanitize agent introduced pipeline/workflow/step state changes and log streaming [#6308] Send 404 if logs are not allowed to access [#6349] Prevent registering as arbitrary agents with system token [#6283] Support one-shot agent execution mode [#6150] Add external secret extension implementation [#6252] Add Container Registry credential extension [#5993] fix(web): escape HTML in commit messages to prevent XSS [#6523] Add WOODPECKER_FORCE_IGNORE_SERVICE_FAILURE config to preserve non-breaking behavior by default [#6448] Fix when.status filter evaluation and add workflow-level support [#6183]
  • 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.