<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Woodpecker]]></title><description><![CDATA[Woodpecker]]></description><link>https://forum.cloudron.io/category/162</link><generator>RSS for Node</generator><lastBuildDate>Mon, 11 May 2026 09:31:41 GMT</lastBuildDate><atom:link href="https://forum.cloudron.io/category/162.rss" rel="self" type="application/rss+xml"/><pubDate>Sun, 20 Apr 2025 16:37:52 GMT</pubDate><ttl>60</ttl><item><title><![CDATA[Autoscaler]]></title><description><![CDATA[Good idea. For the moment, you can of course just run the autoscaler in another VM directly .
]]></description><link>https://forum.cloudron.io/topic/13674/autoscaler</link><guid isPermaLink="true">https://forum.cloudron.io/topic/13674/autoscaler</guid><dc:creator><![CDATA[joseph]]></dc:creator><pubDate>Sun, 20 Apr 2025 16:37:52 GMT</pubDate></item><item><title><![CDATA[What is Woodpecker ?]]></title><description><![CDATA[@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.

]]></description><link>https://forum.cloudron.io/topic/9115/what-is-woodpecker</link><guid isPermaLink="true">https://forum.cloudron.io/topic/9115/what-is-woodpecker</guid><dc:creator><![CDATA[timconsidine]]></dc:creator><pubDate>Thu, 27 Apr 2023 09:43:08 GMT</pubDate></item><item><title><![CDATA[Mention it&#x27;s a Drone fork..]]></title><description><![CDATA[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.
]]></description><link>https://forum.cloudron.io/topic/9106/mention-it-s-a-drone-fork</link><guid isPermaLink="true">https://forum.cloudron.io/topic/9106/mention-it-s-a-drone-fork</guid><dc:creator><![CDATA[girish]]></dc:creator><pubDate>Wed, 26 Apr 2023 11:24:10 GMT</pubDate></item><item><title><![CDATA[Woodpecker - Package updates]]></title><description><![CDATA[[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]

]]></description><link>https://forum.cloudron.io/topic/9105/woodpecker-package-updates</link><guid isPermaLink="true">https://forum.cloudron.io/topic/9105/woodpecker-package-updates</guid><dc:creator><![CDATA[Package Updates]]></dc:creator><pubDate>Wed, 26 Apr 2023 10:30:01 GMT</pubDate></item></channel></rss>